Various manual fixes for syntax highlighting and lists; much prettier docs ensue.

_config.yml

@@ -3,6 +3,7 @@ markdown: kramdown
 kramdown:
   input: GFM
   html_to_native: true
+  hard_wrap: false
   syntax_highlighter: rouge
 baseurl: /
 incremental: true

v1.1/docs/admin/accessing-the-api.md

@@ -16,6 +16,7 @@ The Kubernetes API is served by the Kubernetes apiserver process.  Typically,
 there is one of these running on a single kubernetes-master node.
 
 By default the Kubernetes APIserver serves HTTP on 2 ports:
+
   1. Localhost Port
     - serves HTTP
     - default is port 8080, change with `--insecure-port` flag.
@@ -47,6 +48,7 @@ kube-up.sh.  Other cloud providers may vary.
 
 There are three differently configured serving ports because there are a
 variety of uses cases:
+
    1. Clients outside of a Kubernetes cluster, such as human running `kubectl`
       on desktop machine.  Currently, accesses the Localhost Port via a proxy (nginx)
       running on the `kubernetes-master` machine.  The proxy can use cert-based authentication

v1.1/docs/admin/authorization.md

@@ -12,6 +12,7 @@ the request, (such as user, resource, and namespace) with access
 policies.  An API call must be allowed by some policy in order to proceed.
 
 The following implementations are available, and are selected by flag:
+
   - `--authorization-mode=AlwaysDeny`
   - `--authorization-mode=AlwaysAllow`
   - `--authorization-mode=ABAC`
@@ -25,6 +26,7 @@ The following implementations are available, and are selected by flag:
 ### Request Attributes
 
 A request has 5 attributes that can be considered for authorization:
+
   - user (the user-string which a user was authenticated as).
   - group (the list of group names the authenticated user is a member of).
   - whether the request is readonly (GETs are readonly).
@@ -46,6 +48,7 @@ The file format is [one JSON object per line](http://jsonlines.org/).  There sho
 one map per line.
 
 Each line is a "policy object".  A policy object is a map with the following properties:
+
   - `user`, type string; the user-string from `--token-auth-file`. If you specify `user`, it must match the username of the authenticated user.
   - `group`, type string; if you specify `group`, it must match one of the groups of the authenticated user.
   - `readonly`, type boolean, when true, means that the policy only applies to GET
@@ -126,6 +129,3 @@ to a remote authorization service.  Authorization modules can implement
 their own caching to reduce the cost of repeated authorization calls with the
 same or similar arguments.  Developers should then consider the interaction between
 caching and revocation of permissions.
-
-
-

v1.1/docs/admin/cluster-troubleshooting.md

@@ -39,6 +39,7 @@ of the relevant log files.  (note that on systemd-based systems, you may need to
 This is an incomplete list of things that could go wrong, and how to adjust your cluster setup to mitigate the problems.
 
 Root causes:
+
   - VM(s) shutdown
   - Network partition within cluster, or between cluster and users
   - Crashes in Kubernetes software
@@ -46,6 +47,7 @@ Root causes:
   - Operator error, e.g. misconfigured Kubernetes software or application software
 
 Specific scenarios:
+
   - Apiserver VM shutdown or apiserver crashing
     - Results
       - unable to stop, update, or start new pods, services, replication controller
@@ -79,6 +81,7 @@ Specific scenarios:
       - etc.
 
 Mitigations:
+
 - Action: Use IaaS provider's automatic VM restarting feature for IaaS VMs
   - Mitigates: Apiserver VM shutdown or apiserver crashing
   - Mitigates: Supporting services VM shutdown or crashes

v1.1/docs/admin/daemons.md

@@ -166,7 +166,3 @@ on GCE.
 DaemonSet objects effectively have [API version `v1alpha1`](../api.html#api-versioning).
  Alpha objects may change or even be discontinued in future software releases.
 However, due to to a known issue, they will appear as API version `v1beta1` if enabled.
-
-
-
-

v1.1/docs/admin/dns.md

@@ -37,6 +37,3 @@ time.
 ## For more information
 
 See [the docs for the DNS cluster addon](http://releases.k8s.io/release-1.1/cluster/addons/dns/README.md).
-
-
-

v1.1/docs/admin/high-availability.md

@@ -21,6 +21,7 @@ wearing underwear, pants, a belt, suspenders, another pair of underwear, and ano
 of these steps in detail, but a summary is given here to help guide and orient the user.
 
 The steps involved are as follows:
+
    * [Creating the reliable constituent nodes that collectively form our HA master implementation.](#reliable-nodes)
    * [Setting up a redundant, reliable storage layer with clustered etcd.](#establishing-a-redundant-reliable-data-storage-layer)
    * [Starting replicated, load balanced Kubernetes API servers](#replicated-api-servers)
@@ -144,6 +145,7 @@ touch /var/log/kube-apiserver.log
 ```
 
 Next, you need to create a `/srv/kubernetes/` directory on each node.  This directory includes:
+
    * basic_auth.csv  - basic auth user and password
    * ca.crt - Certificate Authority cert
    * known_tokens.csv - tokens that entities (e.g. the kubelet) can use to talk to the apiserver

v1.1/docs/admin/introduction.md

@@ -1,12 +1,9 @@
 ---
 title: "Kubernetes Cluster Admin Guide"
 ---
-
 The cluster admin guide is for anyone creating or administering a Kubernetes cluster.
 It assumes some familiarity with concepts in the [User Guide](../user-guide/README).
 
-
-
 {% include pagetoc.html %}
 
 ## Planning a cluster

v1.1/docs/admin/multi-cluster.md

@@ -1,7 +1,6 @@
 ---
 title: "Considerations for running multiple Kubernetes clusters"
 ---
-
 You may want to set up multiple Kubernetes clusters, both to
 have clusters in different regions to be nearer to your users, and to tolerate failures and/or invasive maintenance.
 This document describes some of the issues to consider when making a decision about doing so.
@@ -15,7 +14,9 @@ we [plan to do this in the future](../proposals/federation).
 On IaaS providers such as Google Compute Engine or Amazon Web Services, a VM exists in a
 [zone](https://cloud.google.com/compute/docs/zones) or [availability
 zone](http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/using-regions-availability-zones).
+
 We suggest that all the VMs in a Kubernetes cluster should be in the same availability zone, because:
+
   - compared to having a single global Kubernetes cluster, there are fewer single-points of failure
   - compared to a cluster that spans availability zones, it is easier to reason about the availability properties of a
     single-zone cluster.
@@ -24,12 +25,14 @@ We suggest that all the VMs in a Kubernetes cluster should be in the same availa
 
 It is okay to have multiple clusters per availability zone, though on balance we think fewer is better.
 Reasons to prefer fewer clusters are:
+
   - improved bin packing of Pods in some cases with more nodes in one cluster (less resource fragmentation)
   - reduced operational overhead (though the advantage is diminished as ops tooling and processes matures)
   - reduced costs for per-cluster fixed resource costs, e.g. apiserver VMs (but small as a percentage
     of overall cluster cost for medium to large clusters).
 
 Reasons to have multiple clusters include:
+
   - strict security policies requiring isolation of one class of work from another (but, see Partitioning Clusters
     below).
   - test clusters to canary new Kubernetes releases or other cluster software.

v1.1/docs/admin/networking.md

@@ -5,6 +5,7 @@ title: "Networking in Kubernetes"
 
 Kubernetes approaches networking somewhat differently than Docker does by
 default.  There are 4 distinct networking problems to solve:
+
 1. Highly-coupled container-to-container communications: this is solved by
    [pods](../user-guide/pods) and `localhost` communications.
 2. Pod-to-Pod communications: this is the primary focus of this document.
@@ -59,6 +60,7 @@ different approach.
 
 Kubernetes imposes the following fundamental requirements on any networking
 implementation (barring any intentional network segmentation policies):
+
    * all containers can communicate with all other containers without NAT
    * all nodes can communicate with all containers (and vice-versa) without NAT
    * the IP that a container sees itself as is the same IP that others see it as

v1.1/docs/admin/node.md

@@ -134,6 +134,7 @@ When kubelet flag `--register-node` is true (the default), the kubelet will atte
 register itself with the API server.  This is the preferred pattern, used by most distros.
 
 For self-registration, the kubelet is started with the following options:
+
   - `--api-servers=` tells the kubelet the location of the apiserver.
   - `--kubeconfig` tells kubelet where to find credentials to authenticate itself to the apiserver.
   - `--cloud-provider=` tells the kubelet how to talk to a cloud provider to read metadata about itself.

v1.1/docs/admin/resource-quota.md

@@ -6,6 +6,7 @@ there is a concern that one team could use more than its fair share of resources
 
 Resource quotas are a tool for administrators to address this concern. Resource quotas
 work like this:
+
 - Different teams work in different namespaces.  Currently this is voluntary, but
   support for making this mandatory via ACLs is planned.
 - The administrator creates a Resource Quota for each namespace.
@@ -28,6 +29,7 @@ work like this:
   [admission controller](admission-controllers)) before the quota is checked to avoid this problem.
 
 Examples of policies that could be created using namespaces and quotas are:
+
 - In a cluster with a capacity of 32 GiB RAM, and 16 cores, let team A use 20 Gib and 10 cores,
   let B use 10GiB and 4 cores, and hold 2GiB and 2 cores in reserve for future allocation.
 - Limit the "testing" namespace to using 1 core and 1GiB RAM.  Let the "production" namespace
@@ -130,6 +132,7 @@ expressed in absolute units.  So, if you add nodes to your cluster, this does *n
 automatically give each namespace the ability to consume more resources.
 
 Sometimes more complex policies may be desired, such as:
+
   - proportionally divide total cluster resources among several teams.
   - allow each tenant to grow resource usage as needed, but have a generous
     limit to prevent accidental resource exhaustion.

v1.1/docs/admin/service-accounts-admin.md

@@ -11,6 +11,7 @@ incomplete features are referred to in order to better describe service accounts
 
 Kubernetes distinguished between the concept of a user account and a service accounts
 for a number of reasons:
+
   - User accounts are for humans.  Service accounts are for processes, which
     run in pods.
   - User accounts are intended to be global. Names must be unique across all
@@ -29,6 +30,7 @@ for a number of reasons:
 ## Service account automation
 
 Three separate components cooperate to implement the automation around service accounts:
+
   - A Service account admission controller
   - A Token controller
   - A Service account controller
@@ -39,6 +41,7 @@ The modification of pods is implemented via a plugin
 called an [Admission Controller](admission-controllers). It is part of the apiserver.
 It acts synchronously to modify pods as they are created or updated. When this plugin is active
 (and it is by default on most distributions), then it does the following when a pod is created or modified:
+
   1. If the pod does not have a `ServiceAccount` set, it sets the `ServiceAccount` to `default`.
   2. It ensures that the `ServiceAccount` referenced by the pod exists, and otherwise rejects it.
   4. If the pod does not contain any `ImagePullSecrets`, then `ImagePullSecrets` of the
@@ -49,6 +52,7 @@ It acts synchronously to modify pods as they are created or updated. When this p
 ### Token Controller
 
 TokenController runs as part of controller-manager. It acts asynchronously. It:
+
 - observes serviceAccount creation and creates a corresponding Secret to allow API access.
 - observes serviceAccount deletion and deletes all corresponding ServiceAccountToken Secrets
 - observes secret addition, and ensures the referenced ServiceAccount exists, and adds a token to the secret if needed

v1.1/docs/devel/api-conventions.md

@@ -323,12 +323,14 @@ after an object is created/updated.
 For example, the scheduler sets the `pod.spec.nodeName` field after the pod is created.
 
 Late-initializers should only make the following types of modifications:
+
  - Setting previously unset fields
  - Adding keys to maps
  - Adding values to arrays which have mergeable semantics (`patchStrategy:"merge"` attribute in
   the type definition).
 
 These conventions:
+
  1. allow a user (with sufficient privilege) to override any system-default behaviors by setting
     the fields that would otherwise have been defaulted.
  1. enables updates from users to be merged with changes made during late initialization, using
@@ -473,8 +475,9 @@ Kubernetes will always return the `Status` kind from any API endpoint when an er
 Clients SHOULD handle these types of objects when appropriate.
 
 A `Status` kind will be returned by the API in two cases:
-  * When an operation is not successful (i.e. when the server would return a non 2xx HTTP status code).
+
-  * When a HTTP `DELETE` call is successful.
+  1. When an operation is not successful (i.e. when the server would return a non 2xx HTTP status code).
+  2. When a HTTP `DELETE` call is successful.
 
 The status object is encoded as JSON and provided as the body of the response.  The status object contains fields for humans and machine consumers of the API to get more detailed information for the cause of the failure. The information in the status object supplements, but does not override, the HTTP status code's meaning. When fields in the status object have the same meaning as generally defined HTTP headers and that header is returned with the response, the header should be considered as having higher priority.
 
@@ -521,6 +524,7 @@ $ curl -v -k -H "Authorization: Bearer WhCDvq4VPpYhrcfmF6ei7V9qlbqTubUc" https:/
 `details` may contain extended data associated with the reason. Each reason may define its own extended details. This field is optional and the data returned is not guaranteed to conform to any schema except that defined by the reason type.
 
 Possible values for the `reason` and `details` fields:
+
 * `BadRequest`
   * Indicates that the request itself was invalid, because the request doesn't make any sense, for example deleting a read-only object.
   * This is different than `status reason` `Invalid` above which indicates that the API call could possibly succeed, but the data was invalid.
@@ -648,6 +652,7 @@ Annotations have very different intended usage from labels. We expect them to be
 In fact, in-development API fields, including those used to represent fields of newer alpha/beta API versions in the older stable storage version, may be represented as annotations with the form `something.alpha.kubernetes.io/name` or `something.beta.kubernetes.io/name` (depending on our confidence in it).  For example `net.alpha.kubernetes.io/policy` might represent an experimental network policy field.
 
 Other advice regarding use of labels, annotations, and other generic map keys by Kubernetes components and tools:
+
   - Key names should be all lowercase, with words separated by dashes, such as `desired-replicas`
   - Prefix the key with `kubernetes.io/` or `foo.kubernetes.io/`, preferably the latter if the label/annotation is specific to `foo`
     - For instance, prefer `service-account.kubernetes.io/name` over `kubernetes.io/service-account.name`

v1.1/docs/devel/api_changes.md

@@ -67,6 +67,7 @@ backward-compatibly.
 Before talking about how to make API changes, it is worthwhile to clarify what
 we mean by API compatibility.  An API change is considered backward-compatible
 if it:
+
    * adds new functionality that is not required for correct behavior (e.g.,
      does not add a new required field)
    * does not change existing semantics, including:
@@ -261,6 +262,7 @@ the release notes for the next release by labeling the PR with the "release-note
 If you found that your change accidentally broke clients, it should be reverted.
 
 In short, the expected API evolution is as follows:
+
 * `extensions/v1alpha1` ->
 * `newapigroup/v1alpha1` -> ... -> `newapigroup/v1alphaN` ->
 * `newapigroup/v1beta1` -> ... -> `newapigroup/v1betaN` ->
@@ -363,6 +365,7 @@ than the generic ones (which are based on reflections and thus are highly
 inefficient).
 
 The conversion code resides with each versioned API. There are two files:
+
    - `pkg/api/<version>/conversion.go` containing manually written conversion
      functions
    - `pkg/api/<version>/conversion_generated.go` containing auto-generated
@@ -381,8 +384,7 @@ Also note that you can (and for efficiency reasons should) use auto-generated
 conversion functions when writing your conversion functions.
 
 Once all the necessary manually written conversions are added, you need to
-regenerate auto-generated ones. To regenerate them:
+regenerate auto-generated ones. To regenerate them, run:
-   - run
 
 ```shell
 hack/update-generated-conversions.sh
@@ -404,11 +406,11 @@ structure changes done.  You now need to generate code to handle deep copy
 of your versioned api objects.
 
 The deep copy code resides with each versioned API:
+
    - `pkg/api/<version>/deep_copy_generated.go` containing auto-generated copy functions
    - `pkg/apis/extensions/<version>/deep_copy_generated.go` containing auto-generated copy functions
 
-To regenerate them:
+To regenerate them, run:
-   - run
 
 ```shell
 hack/update-generated-deep-copies.sh
@@ -420,11 +422,11 @@ We are auto-generating code for marshaling and unmarshaling json representation
 of api objects - this is to improve the overall system performance.
 
 The auto-generated code resides with each versioned API:
+
    - `pkg/api/<version>/types.generated.go`
    - `pkg/apis/extensions/<version>/types.generated.go`
 
-To regenerate them:
+To regenerate them, run:
-   - run
 
 ```shell
 hack/update-codecgen.sh

v1.1/docs/devel/automation.md

@@ -1,15 +1,14 @@
 ---
 title: "Kubernetes Development Automation"
 ---
-## Overview
-
 Kubernetes uses a variety of automated tools in an attempt to relieve developers of repeptitive, low
 brain power work.  This document attempts to describe these processes.
 
 
 ## Submit Queue
 
-In an effort to
+In an effort to:
+
    * reduce load on core developers
    * maintain e2e stability
    * load test githubs label feature
@@ -32,6 +31,7 @@ The status of the submit-queue is [online.](http://submit-queue.k8s.io/)
 ### Ready to merge status
 
 A PR is considered "ready for merging" if it matches the following:
+
    * it has the `lgtm` label, and that `lgtm` is newer than the latest commit
    * it has passed the cla pre-submit and has the `cla:yes` label
    * it has passed the travis and shippable pre-submit tests
@@ -65,6 +65,7 @@ We also run a [github "munger"](https://github.com/kubernetes/contrib/tree/maste
 This runs repeatedly over github pulls and issues and runs modular "mungers" similar to "mungedocs"
 
 Currently this runs:
+
    * blunderbuss - Tries to automatically find an owner for a PR without an owner, uses mapping file here:
         https://github.com/kubernetes/contrib/blob/master/mungegithub/blunderbuss.yml
    * needs-rebase - Adds `needs-rebase` to PRs that aren't currently mergeable, and removes it from those that are.

v1.1/docs/devel/coding-conventions.md

@@ -3,6 +3,7 @@ title: "devel/coding-conventions"
 ---
 
 Code conventions
+
   - Bash
     - https://google-styleguide.googlecode.com/svn/trunk/shell.xml
     - Ensure that build, release, test, and cluster-management scripts run on OS X
@@ -30,6 +31,7 @@ Code conventions
     - [Logging conventions](logging)
 
 Testing conventions
+
   - All new packages and most new significant functionality must come with unit tests
   - Table-driven tests are preferred for testing multiple scenarios/inputs; for example, see [TestNamespaceAuthorization](https://releases.k8s.io/release-1.1/test/integration/auth_test.go)
   - Significant features should come with integration (test/integration) and/or end-to-end (test/e2e) tests
@@ -37,6 +39,7 @@ Testing conventions
   - Unit tests must pass on OS X and Windows platforms - if you use Linux specific features, your test case must either be skipped on windows or compiled out (skipped is better when running Linux specific commands, compiled out is required when your code does not compile on Windows).
 
 Directory and file conventions
+
   - Avoid package sprawl. Find an appropriate subdirectory for new packages. (See [#4851](http://issues.k8s.io/4851) for discussion.)
     - Libraries with no more appropriate home belong in new package subdirectories of pkg/util
   - Avoid general utility packages. Packages called "util" are suspect. Instead, derive a name that describes your desired function. For example, the utility functions dealing with waiting for operations are in the "wait" package and include functionality like Poll. So the full name is wait.Poll
@@ -52,6 +55,7 @@ Directory and file conventions
     - This includes modified third-party code and excerpts, as well
 
 Coding advice
+
   - Go
     - [Go landmines](https://gist.github.com/lavalamp/4bd23295a9f32706a48f)
 

v1.1/docs/devel/faster_reviews.md

@@ -200,6 +200,3 @@ Obviously, none of these points are hard rules.  There is no document that can
 take the place of common sense and good taste.  Use your best judgment, but put
 a bit of thought into how your work can be made easier to review.  If you do
 these things your PRs will flow much more easily.
-
-
-

v1.1/docs/devel/issues.md

@@ -3,13 +3,12 @@ title: "GitHub Issues for the Kubernetes Project"
 ---
 A list quick overview of how we will review and prioritize incoming issues at https://github.com/kubernetes/kubernetes/issues
 
-Priorities
+## Priorities
-----------
 
 We will use GitHub issue labels for prioritization.  The absence of a priority label means the bug has not been reviewed and prioritized yet.
 
-Definitions
+## Definitions
------------
+
 * P0 - something broken for users, build broken, or critical security issue.  Someone must drop everything and work on it.
 * P1 - must fix for earliest possible binary release (every two weeks)
 * P2 - should be fixed in next major release version
@@ -17,6 +16,3 @@ Definitions
 * design - priority/design is for issues that are used to track design discussions
 * support - priority/support is used for issues tracking user support requests
 * untriaged - anything without a priority/X label will be considered untriaged
-
-
-

v1.1/docs/devel/kubectl-conventions.md

@@ -1,7 +1,6 @@
 ---
 title: "Kubectl Conventions"
 ---
-
 Updated: 8/27/2015
 
 {% include pagetoc.html %}

v1.1/docs/devel/writing-a-getting-started-guide.md

@@ -17,6 +17,7 @@ which is similar to the one you have planned, consider improving that one.
 
 
 Distros fall into two categories:
+
   - **versioned distros** are tested to work with a particular binary release of Kubernetes.  These
     come in a wide variety, reflecting a wide range of ideas and preferences in how to run a cluster.
   - **development distros** are tested work with the latest Kubernetes source code.  But, there are
@@ -28,6 +29,7 @@ There are different guidelines for each.
 ## Versioned Distro Guidelines
 
 These guidelines say *what* to do.  See the Rationale section for *why*.
+
  - Send us a PR.
  - Put the instructions in `docs/getting-started-guides/...`. Scripts go there too.  This helps devs easily
    search for uses of flags by guides.
@@ -49,6 +51,7 @@ Just file an issue or chat us on [Slack](../troubleshooting.html#slack) and one
 ## Development Distro Guidelines
 
 These guidelines say *what* to do.  See the Rationale section for *why*.
+
   - the main reason to add a new development distro is to support a new IaaS provider (VM and
     network management).  This means implementing a new `pkg/cloudprovider/providers/$IAAS_NAME`.
   - Development distros should use Saltstack for Configuration Management.
@@ -94,7 +97,3 @@ These guidelines say *what* to do.  See the Rationale section for *why*.
  - You can still run code from head or your own branch
    if you use another Configuration Management tool -- you just have to do some manual steps
    during testing and deployment.
-
-
-
-

v1.1/docs/getting-started-guides/aws.md

@@ -1,8 +1,6 @@
 ---
 title: "Getting started on AWS EC2"
 ---
-
-
 {% include pagetoc.html %}
 
 ## Prerequisites

v1.1/docs/getting-started-guides/centos/centos_manual_config.md

@@ -1,8 +1,6 @@
 ---
 title: "Getting started on CentOS"
 ---
-
-
 {% include pagetoc.html %}
 
 ## Prerequisites
@@ -21,25 +19,28 @@ The Kubernetes package provides a few services: kube-apiserver, kube-scheduler,
 
 Hosts:
 
-```
+```conf
 centos-master = 192.168.121.9
 centos-minion = 192.168.121.65
 ```
+
 **Prepare the hosts:**
 
 * Create virt7-testing repo on all hosts - centos-{master,minion} with following information.
 
-```
+```conf
 [virt7-testing]
 name=virt7-testing
 baseurl=http://cbs.centos.org/repos/virt7-testing/x86_64/os/
 gpgcheck=0
 ```
+
 * Install Kubernetes on all hosts - centos-{master,minion}.  This will also pull in etcd, docker, and cadvisor.
 
 ```shell
 yum -y install --enablerepo=virt7-testing kubernetes
 ```
+
 * Note * Using etcd-0.4.6-7 (This is temporary update in documentation)
 
 If you do not get etcd-0.4.6-7 installed with virt7-testing repo,
@@ -49,19 +50,22 @@ In the current virt7-testing repo, the etcd package is updated which causes serv
 ```shell
 yum erase etcd
 ```
+
 It will uninstall the current available etcd package
 
 ```shell
 yum install http://cbs.centos.org/kojifiles/packages/etcd/0.4.6/7.el7.centos/x86_64/etcd-0.4.6-7.el7.centos.x86_64.rpm
 yum -y install --enablerepo=virt7-testing kubernetes
 ```
+
 * Add master and node to /etc/hosts on all machines (not needed if hostnames already in DNS)
 
 ```shell
 echo "192.168.121.9	centos-master
 192.168.121.65	centos-minion" >> /etc/hosts
 ```
-* Edit /etc/kubernetes/config which will be the same on all hosts to contain:
+
+* Edit `/etc/kubernetes/config` which will be the same on all hosts to contain:
 
 ```shell
 # Comma separated list of nodes in the etcd cluster
@@ -76,12 +80,14 @@ KUBE_LOG_LEVEL="--v=0"
 # Should this cluster be allowed to run privileged docker containers
 KUBE_ALLOW_PRIV="--allow-privileged=false"
 ```
+
 * Disable the firewall on both the master and node, as docker does not play well with other firewall rule managers
 
 ```shell
 systemctl disable iptables-services firewalld
 systemctl stop iptables-services firewalld
 ```
+
 **Configure the Kubernetes services on the master.**
 
 * Edit /etc/kubernetes/apiserver to appear as such:
@@ -105,6 +111,7 @@ KUBE_SERVICE_ADDRESSES="--service-cluster-ip-range=10.254.0.0/16"
 # Add your own!
 KUBE_API_ARGS=""
 ```
+
 * Start the appropriate services on master:
 
 ```shell
@@ -114,11 +121,12 @@ for SERVICES in etcd kube-apiserver kube-controller-manager kube-scheduler; do
 	systemctl status $SERVICES 
 done
 ```
+
 **Configure the Kubernetes services on the node.**
 
 ***We need to configure the kubelet and start the kubelet and proxy***
 
-* Edit /etc/kubernetes/kubelet to appear as such:
+* Edit `/etc/kubernetes/kubelet` to appear as such:
 
 ```shell
 # The address for the info server to serve on
@@ -136,6 +144,7 @@ KUBELET_API_SERVER="--api-servers=http://centos-master:8080"
 # Add your own!
 KUBELET_ARGS=""
 ```
+
 * Start the appropriate services on node (centos-minion).
 
 ```shell
@@ -145,6 +154,7 @@ for SERVICES in kube-proxy kubelet docker; do
     systemctl status $SERVICES 
 done
 ```
+
 *You should be finished!*
 
 * Check to make sure the cluster can see the node (on centos-master)
@@ -154,6 +164,7 @@ $ kubectl get nodes
 NAME                   LABELS            STATUS
 centos-minion          <none>            Ready
 ```
+
 **The cluster should be running! Launch a test pod.**
 
 You should have a functional cluster, check out [101](/{{page.version}}/docs/user-guide/walkthrough/README)!

v1.1/docs/getting-started-guides/coreos/azure/README.md

@@ -17,6 +17,7 @@ To get started, you need to checkout the code:
 git clone https://github.com/kubernetes/kubernetes
 cd kubernetes/docs/getting-started-guides/coreos/azure/
 ```
+
 You will need to have [Node.js installed](http://nodejs.org/download/) on you machine. If you have previously used Azure CLI, you should have it already.
 
 First, you need to install some of the dependencies with
@@ -24,12 +25,14 @@ First, you need to install some of the dependencies with
 ```shell
 npm install
 ```
+
 Now, all you need to do is:
 
 ```shell
 ./azure-login.js -u <your_username>
 ./create-kubernetes-cluster.js
 ```
+
 This script will provision a cluster suitable for production use, where there is a ring of 3 dedicated etcd nodes: 1 kubernetes master and 2 kubernetes nodes. The `kube-00` VM will be the master, your work loads are only to be deployed on the nodes, `kube-01` and `kube-02`. Initially, all VMs are single-core, to ensure a user of the free tier can reproduce it without paying extra. I will show how to add more bigger VMs later.
 
 ![VMs in Azure](/images/docs/initial_cluster.png)
@@ -43,11 +46,13 @@ azure_wrapper/info: The hosts in this deployment are:
  [ 'etcd-00', 'etcd-01', 'etcd-02', 'kube-00', 'kube-01', 'kube-02' ]
 azure_wrapper/info: Saved state into `./output/kube_1c1496016083b4_deployment.yml`
 ```
+
 Let's login to the master node like so:
 
 ```shell
 ssh -F  ./output/kube_1c1496016083b4_ssh_conf kube-00
 ```
+
 > Note: config file name will be different, make sure to use the one you see.
 
 Check there are 2 nodes in the cluster:
@@ -58,6 +63,7 @@ NAME      LABELS                           STATUS
 kube-01   kubernetes.io/hostname=kube-01   Ready
 kube-02   kubernetes.io/hostname=kube-02   Ready
 ```
+
 ## Deploying the workload
 
 Let's follow the Guestbook example now:
@@ -65,11 +71,13 @@ Let's follow the Guestbook example now:
 ```shell
 kubectl create -f ~/guestbook-example
 ```
+
 You need to wait for the pods to get deployed, run the following and wait for `STATUS` to change from `Pending` to `Running`.
 
 ```shell
 kubectl get pods --watch
 ```
+
 > Note: the most time it will spend downloading Docker container images on each of the nodes.
 
 Eventually you should see:
@@ -83,6 +91,7 @@ redis-master-talmr  1/1       Running   0          4m
 redis-slave-12zfd   1/1       Running   0          4m
 redis-slave-3nbce   1/1       Running   0          4m
 ```
+
 ## Scaling
 
 Two single-core nodes are certainly not enough for a production system of today. Let's scale the cluster by adding a couple of bigger nodes.
@@ -94,6 +103,7 @@ First, lets set the size of new VMs:
 ```shell
 export AZ_VM_SIZE=Large
 ```
+
 Now, run scale script with state file of the previous deployment and number of nodes to add:
 
 ```shell
@@ -111,6 +121,7 @@ azure_wrapper/info: The hosts in this deployment are:
   'kube-04' ]
 azure_wrapper/info: Saved state into `./output/kube_8f984af944f572_deployment.yml`
 ```
+
 > Note: this step has created new files in `./output`.
 
 Back on `kube-00`:
@@ -123,6 +134,7 @@ kube-02   kubernetes.io/hostname=kube-02   Ready
 kube-03   kubernetes.io/hostname=kube-03   Ready
 kube-04   kubernetes.io/hostname=kube-04   Ready
 ```
+
 You can see that two more nodes joined happily. Let's scale the number of Guestbook instances now.
 
 First, double-check how many replication controllers there are:
@@ -134,6 +146,7 @@ frontend       php-redis      kubernetes/example-guestbook-php-redis:v2   name=f
 redis-master   master         redis                                       name=redis-master   1
 redis-slave    worker         kubernetes/redis-slave:v2                   name=redis-slave    2
 ```
+
 As there are 4 nodes, let's scale proportionally:
 
 ```shell
@@ -143,6 +156,7 @@ scaled
 core@kube-00 ~ $ kubectl scale --replicas=4 rc frontend
 scaled
 ```
+
 Check what you have now:
 
 ```shell
@@ -152,6 +166,7 @@ frontend       php-redis      kubernetes/example-guestbook-php-redis:v2   name=f
 redis-master   master         redis                                       name=redis-master   1
 redis-slave    worker         kubernetes/redis-slave:v2                   name=redis-slave    4
 ```
+
 You now will have more instances of front-end Guestbook apps and Redis slaves; and, if you look up all pods labeled `name=frontend`, you should see one running on each node.
 
 ```shell
@@ -162,11 +177,12 @@ frontend-4wahe   1/1       Running   0          22m
 frontend-6l36j   1/1       Running   0          22m
 frontend-z9oxo   1/1       Running   0          41s
 ```
+
 ## Exposing the app to the outside world
 
 There is no native Azure load-balancer support in Kubernetes 1.0, however here is how you can expose the Guestbook app to the Internet.
 
-```
+```shell
 ./expose_guestbook_app_port.sh ./output/kube_1c1496016083b4_ssh_conf
 Guestbook app is on port 31605, will map it to port 80 on kube-00
 info:    Executing command vm endpoint create
@@ -183,6 +199,7 @@ data:      Virtual IP Address            : 137.117.156.164
 data:      Direct server return          : Disabled
 info:    vm endpoint show command OK
 ```
+
 You then should be able to access it from anywhere via the Azure virtual IP for `kube-00` displayed above, i.e. `http://137.117.156.164/` in my case.
 
 ## Next steps
@@ -198,6 +215,7 @@ If you don't wish care about the Azure bill, you can tear down the cluster. It's
 ```shell
 ./destroy-cluster.js ./output/kube_8f984af944f572_deployment.yml
 ```
+
 > Note: make sure to use the _latest state file_, as after scaling there is a new one.
 
 By the way, with the scripts shown, you can deploy multiple clusters, if you like :)

v1.1/docs/getting-started-guides/coreos/azure/index.md

@@ -19,23 +19,23 @@ To get started, you need to checkout the code:
 ```shell
 git clone https://github.com/kubernetes/kubernetes
 cd kubernetes/docs/getting-started-guides/coreos/azure/
-
 ```
+
 You will need to have [Node.js installed](http://nodejs.org/download/) on you machine. If you have previously used Azure CLI, you should have it already.
 
 First, you need to install some of the dependencies with
 
 ```shell
 npm install
-
 ```
+
 Now, all you need to do is:
 
 ```shell
 ./azure-login.js -u <your_username>
 ./create-kubernetes-cluster.js
-
 ```
+
 This script will provision a cluster suitable for production use, where there is a ring of 3 dedicated etcd nodes: 1 kubernetes master and 2 kubernetes nodes. 
 The `kube-00` VM will be the master, your work loads are only to be deployed on the nodes, `kube-01` and `kube-02`. Initially, all VMs are single-core, to 
 ensure a user of the free tier can reproduce it without paying extra. I will show how to add more bigger VMs later.
@@ -50,14 +50,14 @@ azure_wrapper/info: Saved SSH config, you can use it like so: `ssh -F  ./output/
 azure_wrapper/info: The hosts in this deployment are:
  [ 'etcd-00', 'etcd-01', 'etcd-02', 'kube-00', 'kube-01', 'kube-02' ]
 azure_wrapper/info: Saved state into `./output/kube_1c1496016083b4_deployment.yml`
-
 ```
+
 Let's login to the master node like so:
 
 ```shell
 ssh -F  ./output/kube_1c1496016083b4_ssh_conf kube-00
-
 ```
+
 > Note: config file name will be different, make sure to use the one you see.
 
 Check there are 2 nodes in the cluster:
@@ -67,22 +67,22 @@ core@kube-00 ~ $ kubectl get nodes
 NAME      LABELS                           STATUS
 kube-01   kubernetes.io/hostname=kube-01   Ready
 kube-02   kubernetes.io/hostname=kube-02   Ready
-
 ```
+
 ## Deploying the workload
 
 Let's follow the Guestbook example now:
 
 ```shell
 kubectl create -f ~/guestbook-example
-
 ```
+
 You need to wait for the pods to get deployed, run the following and wait for `STATUS` to change from `Pending` to `Running`.
 
 ```shell
 kubectl get pods --watch
-
 ```
+
 > Note: the most time it will spend downloading Docker container images on each of the nodes.
 
 Eventually you should see:
@@ -95,8 +95,8 @@ frontend-6l36j      1/1       Running   0          4m
 redis-master-talmr  1/1       Running   0          4m
 redis-slave-12zfd   1/1       Running   0          4m
 redis-slave-3nbce   1/1       Running   0          4m
-
 ```
+
 ## Scaling
 
 Two single-core nodes are certainly not enough for a production system of today. Let's scale the cluster by adding a couple of bigger nodes.
@@ -107,8 +107,8 @@ First, lets set the size of new VMs:
 
 ```shell
 export AZ_VM_SIZE=Large
-
 ```
+
 Now, run scale script with state file of the previous deployment and number of nodes to add:
 
 ```shell
@@ -125,8 +125,8 @@ azure_wrapper/info: The hosts in this deployment are:
   'kube-03',
   'kube-04' ]
 azure_wrapper/info: Saved state into `./output/kube_8f984af944f572_deployment.yml`
-
 ```
+
 > Note: this step has created new files in `./output`.
 
 Back on `kube-00`:
@@ -138,8 +138,8 @@ kube-01   kubernetes.io/hostname=kube-01   Ready
 kube-02   kubernetes.io/hostname=kube-02   Ready
 kube-03   kubernetes.io/hostname=kube-03   Ready
 kube-04   kubernetes.io/hostname=kube-04   Ready
-
 ```
+
 You can see that two more nodes joined happily. Let's scale the number of Guestbook instances now.
 
 First, double-check how many replication controllers there are:
@@ -150,8 +150,8 @@ ONTROLLER     CONTAINER(S)   IMAGE(S)                                    SELECTO
 frontend       php-redis      kubernetes/example-guestbook-php-redis:v2   name=frontend       3
 redis-master   master         redis                                       name=redis-master   1
 redis-slave    worker         kubernetes/redis-slave:v2                   name=redis-slave    2
-
 ```
+
 As there are 4 nodes, let's scale proportionally:
 
 ```shell
@@ -160,8 +160,8 @@ core@kube-00 ~ $ kubectl scale --replicas=4 rc redis-slave
 scaled
 core@kube-00 ~ $ kubectl scale --replicas=4 rc frontend
 scaled
-
 ```
+
 Check what you have now:
 
 ```shell
@@ -170,8 +170,8 @@ CONTROLLER     CONTAINER(S)   IMAGE(S)                                    SELECT
 frontend       php-redis      kubernetes/example-guestbook-php-redis:v2   name=frontend       4
 redis-master   master         redis                                       name=redis-master   1
 redis-slave    worker         kubernetes/redis-slave:v2                   name=redis-slave    4
-
 ```
+
 You now will have more instances of front-end Guestbook apps and Redis slaves; and, if you look up all pods labeled `name=frontend`, you should see one running on each node.
 
 ```shell
@@ -181,13 +181,13 @@ frontend-0a9xi   1/1       Running   0          22m
 frontend-4wahe   1/1       Running   0          22m
 frontend-6l36j   1/1       Running   0          22m
 frontend-z9oxo   1/1       Running   0          41s
-
 ```
+
 ## Exposing the app to the outside world
 
 There is no native Azure load-balancer support in Kubernetes 1.0, however here is how you can expose the Guestbook app to the Internet.
 
-```
+```shell
 ./expose_guestbook_app_port.sh ./output/kube_1c1496016083b4_ssh_conf
 Guestbook app is on port 31605, will map it to port 80 on kube-00
 info:    Executing command vm endpoint create
@@ -203,8 +203,8 @@ data:      Protcol                       : tcp
 data:      Virtual IP Address            : 137.117.156.164
 data:      Direct server return          : Disabled
 info:    vm endpoint show command OK
-
 ```
+
 You then should be able to access it from anywhere via the Azure virtual IP for `kube-00` displayed above, i.e. `http://137.117.156.164/` in my case.
 
 ## Next steps
@@ -219,11 +219,8 @@ If you don't wish care about the Azure bill, you can tear down the cluster. It's
 
 ```shell
 ./destroy-cluster.js ./output/kube_8f984af944f572_deployment.yml
-
 ```
+
 > Note: make sure to use the _latest state file_, as after scaling there is a new one.
 
 By the way, with the scripts shown, you can deploy multiple clusters, if you like :)
-
-
-

v1.1/docs/getting-started-guides/coreos/bare_metal_calico.md

@@ -4,6 +4,7 @@ title: "Bare Metal CoreOS with Kubernetes and Project Calico"
 This guide explains how to deploy a bare-metal Kubernetes cluster on CoreOS using [Calico networking](http://www.projectcalico.org).
 
 Specifically, this guide will have you do the following:
+
 - Deploy a Kubernetes master node on CoreOS using cloud-config
 - Deploy two Kubernetes compute nodes with Calico Networking using cloud-config
 
@@ -21,6 +22,7 @@ This guide will use [cloud-config](https://coreos.com/docs/cluster-management/se
 For ease of distribution, the cloud-config files required for this demonstration can be found on [GitHub](https://github.com/projectcalico/calico-kubernetes-coreos-demo).
 
 This repo includes two cloud config files:
+
 - `master-config.yaml`: Cloud-config for the Kubernetes master
 - `node-config.yaml`: Cloud-config for each Kubernetes compute host
 
@@ -30,22 +32,22 @@ In the next few steps you will be asked to configure these files and host them o
 
 To get the Kubernetes source, clone the GitHub repo, and build the binaries.
 
-```
+```shell
 git clone https://github.com/kubernetes/kubernetes.git
 cd kubernetes
 ./build/release.sh 
-
 ```
+
 Once the binaries are built, host the entire `<kubernetes>/_output/dockerized/bin/<OS>/<ARCHITECTURE>/` folder on an accessible HTTP server so they can be accessed by the cloud-config.  You'll point your cloud-config files at this HTTP server later.
 
 ## Download CoreOS
 
 Let's download the CoreOS bootable ISO.  We'll use this image to boot and install CoreOS on each server.
 
-```
+```shell
 wget http://stable.release.core-os.net/amd64-usr/current/coreos_production_iso_image.iso
-
 ```
+
 You can also download the ISO from the [CoreOS website](https://coreos.com/docs/running-coreos/platforms/iso/).
 
 ## Configure the Kubernetes Master
@@ -54,12 +56,13 @@ Once you've downloaded the image, use it to boot your Kubernetes Master server.
 
 Let's get the master-config.yaml and fill in the necessary variables.  Run the following commands on your HTTP server to get the cloud-config files.
 
-```
+```shell
 git clone https://github.com/Metaswitch/calico-kubernetes-demo.git
 cd calico-kubernetes-demo/coreos
-
 ```
+
 You'll need to replace the following variables in the `master-config.yaml` file to match your deployment.
+
 - `<SSH_PUBLIC_KEY>`: The public key you will use for SSH access to this server.
 - `<KUBERNETES_LOC>`: The address used to get the kubernetes binaries over HTTP.
 
@@ -69,10 +72,10 @@ Host the modified `master-config.yaml` file and pull it on to your Kubernetes Ma
 
 The CoreOS bootable ISO comes with a tool called `coreos-install` which will allow us to install CoreOS to disk and configure the install using cloud-config.  The following command will download and install stable CoreOS, using the master-config.yaml file for configuration.
 
-```
+```shell
 sudo coreos-install -d /dev/sda -C stable -c master-config.yaml
-
 ```
+
 Once complete, eject the bootable ISO and restart the server.  When it comes back up, you should have SSH access as the `core` user using the public key provided in the master-config.yaml file.
 
 ## Configure the compute hosts
@@ -84,6 +87,7 @@ First, boot up your node using the bootable ISO we downloaded earlier.  You shou
 Let's modify the `node-config.yaml` cloud-config file on your HTTP server.  Make a copy for this node, and fill in the necessary variables.
 
 You'll need to replace the following variables in the `node-config.yaml` file to match your deployment.
+
 - `<HOSTNAME>`: Hostname for this node (e.g. kube-node1, kube-node2)
 - `<SSH_PUBLIC_KEY>`: The public key you will use for SSH access to this server.
 - `<KUBERNETES_MASTER>`: The IPv4 address of the Kubernetes master.
@@ -94,27 +98,23 @@ You'll need to replace the following variables in the `node-config.yaml` file to
 
 Host the modified `node-config.yaml` file and pull it on to your Kubernetes node.
 
-```
+```shell
 wget http://<http_server_ip>/node-config.yaml
-
 ```
+
 Install and configure CoreOS on the node using the following command.
 
-```
+```shell
 sudo coreos-install -d /dev/sda -C stable -c node-config.yaml
-
 ```
+
 Once complete, restart the server.  When it comes back up, you should have SSH access as the `core` user using the public key provided in the `node-config.yaml` file.  It will take some time for the node to be fully configured.  Once fully configured, you can check that the node is running with the following command on the Kubernetes master.
 
-```
+```shell
 /home/core/kubectl get nodes
-
 ```
+
 ## Testing the Cluster
 
 You should now have a functional bare-metal Kubernetes cluster with one master and two compute hosts.
 Try running the [guestbook demo](https://github.com/kubernetes/kubernetes/tree/master/examples/guestbook/) to test out your new cluster!
-
-
-
-

v1.1/docs/getting-started-guides/coreos/bare_metal_offline.md

@@ -24,57 +24,67 @@ whether for testing a POC before the real deal, or you are restricted to be tota
 
 ## This Guides variables
 
-```shell
 | Node Description              | MAC               | IP          |
 | :---------------------------- | :---------------: | :---------: |
 | CoreOS/etcd/Kubernetes Master | d0:00:67:13:0d:00 | 10.20.30.40 |
 | CoreOS Slave 1                | d0:00:67:13:0d:01 | 10.20.30.41 |
 | CoreOS Slave 2                | d0:00:67:13:0d:02 | 10.20.30.42 |
-```
+
 ## Setup PXELINUX CentOS
 
 To setup CentOS PXELINUX environment there is a complete [guide here](http://docs.fedoraproject.org/en-US/Fedora/7/html/Installation_Guide/ap-pxe-server). This section is the abbreviated version.
 
 1. Install packages needed on CentOS
 
-        sudo yum install tftp-server dhcp syslinux
+```shell
+sudo yum install tftp-server dhcp syslinux
+```
 
 2. `vi /etc/xinetd.d/tftp` to enable tftp service and change disable to 'no'
-        disable = no
+
+```conf
+disable = no
+```
 
 3. Copy over the syslinux images we will need.
 
-        su -
+```shell
-        mkdir -p /tftpboot
+su -
-        cd /tftpboot
+mkdir -p /tftpboot
-        cp /usr/share/syslinux/pxelinux.0 /tftpboot
+cd /tftpboot
-        cp /usr/share/syslinux/menu.c32 /tftpboot
+cp /usr/share/syslinux/pxelinux.0 /tftpboot
-        cp /usr/share/syslinux/memdisk /tftpboot
+cp /usr/share/syslinux/menu.c32 /tftpboot
-        cp /usr/share/syslinux/mboot.c32 /tftpboot
+cp /usr/share/syslinux/memdisk /tftpboot
-        cp /usr/share/syslinux/chain.c32 /tftpboot
+cp /usr/share/syslinux/mboot.c32 /tftpboot
+cp /usr/share/syslinux/chain.c32 /tftpboot
 
-        /sbin/service dhcpd start
+/sbin/service dhcpd start
-        /sbin/service xinetd start
+/sbin/service xinetd start
-        /sbin/chkconfig tftp on
+/sbin/chkconfig tftp on
+```
 
 4. Setup default boot menu
 
-        mkdir /tftpboot/pxelinux.cfg
+```shell
-        touch /tftpboot/pxelinux.cfg/default
+mkdir /tftpboot/pxelinux.cfg
+touch /tftpboot/pxelinux.cfg/default
+```
 
 5. Edit the menu `vi /tftpboot/pxelinux.cfg/default`
 
-        default menu.c32
+```conf
-        prompt 0
+default menu.c32
-        timeout 15
+prompt 0
-        ONTIMEOUT local
+timeout 15
-        display boot.msg
+ONTIMEOUT local
+display boot.msg
 
-        MENU TITLE Main Menu
+MENU TITLE Main Menu
 
-        LABEL local
+LABEL local
         MENU LABEL Boot local hard drive
         LOCALBOOT 0
+```
 
 Now you should have a working PXELINUX setup to image CoreOS nodes. You can verify the services by using VirtualBox locally or with bare metal servers.
 
@@ -87,31 +97,34 @@ This section describes how to setup the CoreOS images to live alongside a pre-ex
 2. Once we know and have our tftp root directory we will create a new directory structure for our CoreOS images.
 3. Download the CoreOS PXE files provided by the CoreOS team.
 
-        MY_TFTPROOT_DIR=/tftpboot
+```shell
-        mkdir -p $MY_TFTPROOT_DIR/images/coreos/
+MY_TFTPROOT_DIR=/tftpboot
-        cd $MY_TFTPROOT_DIR/images/coreos/
+mkdir -p $MY_TFTPROOT_DIR/images/coreos/
-        wget http://stable.release.core-os.net/amd64-usr/current/coreos_production_pxe.vmlinuz
+cd $MY_TFTPROOT_DIR/images/coreos/
-        wget http://stable.release.core-os.net/amd64-usr/current/coreos_production_pxe.vmlinuz.sig
+wget http://stable.release.core-os.net/amd64-usr/current/coreos_production_pxe.vmlinuz
-        wget http://stable.release.core-os.net/amd64-usr/current/coreos_production_pxe_image.cpio.gz
+wget http://stable.release.core-os.net/amd64-usr/current/coreos_production_pxe.vmlinuz.sig
-        wget http://stable.release.core-os.net/amd64-usr/current/coreos_production_pxe_image.cpio.gz.sig
+wget http://stable.release.core-os.net/amd64-usr/current/coreos_production_pxe_image.cpio.gz
-        gpg --verify coreos_production_pxe.vmlinuz.sig
+wget http://stable.release.core-os.net/amd64-usr/current/coreos_production_pxe_image.cpio.gz.sig
-        gpg --verify coreos_production_pxe_image.cpio.gz.sig
+gpg --verify coreos_production_pxe.vmlinuz.sig
+gpg --verify coreos_production_pxe_image.cpio.gz.sig
+```
 
 4. Edit the menu `vi /tftpboot/pxelinux.cfg/default` again
 
-        default menu.c32
+```conf
-        prompt 0
+default menu.c32
-        timeout 300
+prompt 0
-        ONTIMEOUT local
+timeout 300
-        display boot.msg
+ONTIMEOUT local
+display boot.msg
 
-        MENU TITLE Main Menu
+MENU TITLE Main Menu
 
-        LABEL local
+LABEL local
         MENU LABEL Boot local hard drive
         LOCALBOOT 0
 
-        MENU BEGIN CoreOS Menu
+MENU BEGIN CoreOS Menu
 
     LABEL coreos-master
         MENU LABEL CoreOS Master
@@ -122,7 +135,8 @@ This section describes how to setup the CoreOS images to live alongside a pre-ex
         MENU LABEL CoreOS Slave
         KERNEL images/coreos/coreos_production_pxe.vmlinuz
         APPEND initrd=images/coreos/coreos_production_pxe_image.cpio.gz cloud-config-url=http://<xxx.xxx.xxx.xxx>/pxe-cloud-config-slave.yml
-        MENU END
+MENU END
+```
 
 This configuration file will now boot from local drive but have the option to PXE image CoreOS.
 
@@ -132,11 +146,14 @@ This section covers configuring the DHCP server to hand out our new images. In t
 
 1. Add the `filename` to the _host_ or _subnet_ sections.
 
-        filename "/tftpboot/pxelinux.0";
+```conf
+filename "/tftpboot/pxelinux.0";
+```
 
 2. At this point we want to make pxelinux configuration files that will be the templates for the different CoreOS deployments.
 
-        subnet 10.20.30.0 netmask 255.255.255.0 {
+```conf
+subnet 10.20.30.0 netmask 255.255.255.0 {
         next-server 10.20.30.242;
         option broadcast-address 10.20.30.255;
         filename "<other default image>";
@@ -165,7 +182,8 @@ This section covers configuring the DHCP server to hand out our new images. In t
                 filename "/pxelinux.0";
         }
         ...
-        }
+}
+```
 
 We will be specifying the node configuration later in the guide.
 
@@ -185,19 +203,21 @@ To get this up and running we are going to setup a simple `apache` server to ser
 
 This is on the PXE server from the previous section:
 
-    rm /etc/httpd/conf.d/welcome.conf
+```shell
-    cd /var/www/html/
+rm /etc/httpd/conf.d/welcome.conf
-    wget -O kube-register  https://github.com/kelseyhightower/kube-register/releases/download/v0.0.2/kube-register-0.0.2-linux-amd64
+cd /var/www/html/
-    wget -O setup-network-environment https://github.com/kelseyhightower/setup-network-environment/releases/download/v1.0.0/setup-network-environment
+wget -O kube-register  https://github.com/kelseyhightower/kube-register/releases/download/v0.0.2/kube-register-0.0.2-linux-amd64
-    wget https://storage.googleapis.com/kubernetes-release/release/v0.15.0/bin/linux/amd64/kubernetes --no-check-certificate
+wget -O setup-network-environment https://github.com/kelseyhightower/setup-network-environment/releases/download/v1.0.0/setup-network-environment
-    wget https://storage.googleapis.com/kubernetes-release/release/v0.15.0/bin/linux/amd64/kube-apiserver --no-check-certificate
+wget https://storage.googleapis.com/kubernetes-release/release/v0.15.0/bin/linux/amd64/kubernetes --no-check-certificate
-    wget https://storage.googleapis.com/kubernetes-release/release/v0.15.0/bin/linux/amd64/kube-controller-manager --no-check-certificate
+wget https://storage.googleapis.com/kubernetes-release/release/v0.15.0/bin/linux/amd64/kube-apiserver --no-check-certificate
-    wget https://storage.googleapis.com/kubernetes-release/release/v0.15.0/bin/linux/amd64/kube-scheduler --no-check-certificate
+wget https://storage.googleapis.com/kubernetes-release/release/v0.15.0/bin/linux/amd64/kube-controller-manager --no-check-certificate
-    wget https://storage.googleapis.com/kubernetes-release/release/v0.15.0/bin/linux/amd64/kubectl --no-check-certificate
+wget https://storage.googleapis.com/kubernetes-release/release/v0.15.0/bin/linux/amd64/kube-scheduler --no-check-certificate
-    wget https://storage.googleapis.com/kubernetes-release/release/v0.15.0/bin/linux/amd64/kubecfg --no-check-certificate
+wget https://storage.googleapis.com/kubernetes-release/release/v0.15.0/bin/linux/amd64/kubectl --no-check-certificate
-    wget https://storage.googleapis.com/kubernetes-release/release/v0.15.0/bin/linux/amd64/kubelet --no-check-certificate
+wget https://storage.googleapis.com/kubernetes-release/release/v0.15.0/bin/linux/amd64/kubecfg --no-check-certificate
-    wget https://storage.googleapis.com/kubernetes-release/release/v0.15.0/bin/linux/amd64/kube-proxy --no-check-certificate
+wget https://storage.googleapis.com/kubernetes-release/release/v0.15.0/bin/linux/amd64/kubelet --no-check-certificate
-    wget -O flanneld https://storage.googleapis.com/k8s/flanneld --no-check-certificate
+wget https://storage.googleapis.com/kubernetes-release/release/v0.15.0/bin/linux/amd64/kube-proxy --no-check-certificate
+wget -O flanneld https://storage.googleapis.com/k8s/flanneld --no-check-certificate
+```
 
 This sets up our binaries we need to run Kubernetes. This would need to be enhanced to download from the Internet for updates in the future.
 
@@ -437,6 +457,7 @@ coreos:
 ssh_authorized_keys:
   - ssh-rsa AAAAB3NzaC1yc2EAAAAD...
 ```
+
 ### node.yml
 
 On the PXE server make and fill in the variables `vi /var/www/html/coreos/pxe-cloud-config-slave.yml`.
@@ -572,33 +593,38 @@ coreos:
 ssh_authorized_keys:
   - ssh-rsa AAAAB3NzaC1yc2EAAAAD...
 ```
+
 ## New pxelinux.cfg file
 
 Create a pxelinux target file for a _slave_ node: `vi /tftpboot/pxelinux.cfg/coreos-node-slave`
 
-    default coreos
+```conf
-    prompt 1
+default coreos
-    timeout 15
+prompt 1
+timeout 15
 
-    display boot.msg
+display boot.msg
 
-    label coreos
+label coreos
     menu default
     kernel images/coreos/coreos_production_pxe.vmlinuz
     append initrd=images/coreos/coreos_production_pxe_image.cpio.gz cloud-config-url=http://<pxe-host-ip>/coreos/pxe-cloud-config-slave.yml console=tty0 console=ttyS0 coreos.autologin=tty1 coreos.autologin=ttyS0
+```
 
 And one for the _master_ node: `vi /tftpboot/pxelinux.cfg/coreos-node-master`
 
-    default coreos
+```conf
-    prompt 1
+default coreos
-    timeout 15
+prompt 1
+timeout 15
 
-    display boot.msg
+display boot.msg
 
-    label coreos
+label coreos
     menu default
     kernel images/coreos/coreos_production_pxe.vmlinuz
     append initrd=images/coreos/coreos_production_pxe_image.cpio.gz cloud-config-url=http://<pxe-host-ip>/coreos/pxe-cloud-config-master.yml console=tty0 console=ttyS0 coreos.autologin=tty1 coreos.autologin=ttyS0
+```
 
 ## Specify the pxelinux targets
 
@@ -606,11 +632,12 @@ Now that we have our new targets setup for master and slave we want to configure
 
 Refer to the MAC address table in the beginning of this guide. Documentation for more details can be found [here](http://www.syslinux.org/wiki/index.php/PXELINUX).
 
-    cd /tftpboot/pxelinux.cfg
+```shell
-    ln -s coreos-node-master 01-d0-00-67-13-0d-00
+cd /tftpboot/pxelinux.cfg
-    ln -s coreos-node-slave 01-d0-00-67-13-0d-01
+ln -s coreos-node-master 01-d0-00-67-13-0d-00
-    ln -s coreos-node-slave 01-d0-00-67-13-0d-02
+ln -s coreos-node-slave 01-d0-00-67-13-0d-01
-
+ln -s coreos-node-slave 01-d0-00-67-13-0d-02
+```
 
 Reboot these servers to get the images PXEd and ready for running containers!
 
@@ -626,30 +653,41 @@ For more complete applications, please look in the [examples directory](https://
 
 List all keys in etcd:
 
-     etcdctl ls --recursive
+```shell
+etcdctl ls --recursive
+```
 
 List fleet machines
 
-    fleetctl list-machines
+```shell
+fleetctl list-machines
+```
 
 Check system status of services on master:
 
-    systemctl status kube-apiserver
+```shell
-    systemctl status kube-controller-manager
+systemctl status kube-apiserver
-    systemctl status kube-scheduler
+systemctl status kube-controller-manager
-    systemctl status kube-register
+systemctl status kube-scheduler
+systemctl status kube-register
+```
 
 Check system status of services on a node:
 
-    systemctl status kube-kubelet
+```shell
-    systemctl status docker.service
+systemctl status kube-kubelet
+systemctl status docker.service
+```
 
 List Kubernetes
 
-    kubectl get pods
+```shell
-    kubectl get nodes
+kubectl get pods
-
+kubectl get nodes
+```
 
 Kill all pods:
 
-    for i in `kubectl get pods | awk '{print $1}'`; do kubectl stop pod $i; done
+```shell
+for i in `kubectl get pods | awk '{print $1}'`; do kubectl stop pod $i; done
+```

v1.1/docs/getting-started-guides/coreos/coreos_multinode_cluster.md

@@ -25,8 +25,8 @@ aws ec2 create-security-group --group-name kubernetes --description "Kubernetes
 aws ec2 authorize-security-group-ingress --group-name kubernetes --protocol tcp --port 22 --cidr 0.0.0.0/0
 aws ec2 authorize-security-group-ingress --group-name kubernetes --protocol tcp --port 80 --cidr 0.0.0.0/0
 aws ec2 authorize-security-group-ingress --group-name kubernetes --source-security-group-name kubernetes
-
 ```
+
 ```shell
 aws ec2 run-instances \
 --image-id <ami_image_id> \
@@ -35,14 +35,14 @@ aws ec2 run-instances \
 --security-groups kubernetes \
 --instance-type m3.medium \
 --user-data file://master.yaml
-
 ```
+
 #### Capture the private IP address
 
 ```shell
 aws ec2 describe-instances --instance-id <master-instance-id>
-
 ```
+
 #### Edit node.yaml
 
 Edit `node.yaml` and replace all instances of `<master-private-ip>` with the private IP address of the master node.
@@ -58,8 +58,8 @@ aws ec2 run-instances \
 --security-groups kubernetes \
 --instance-type m3.medium \
 --user-data file://node.yaml
-
 ```
+
 ### Google Compute Engine (GCE)
 
 *Attention:* Replace `<gce_image_id>` below for a [suitable version of CoreOS image for Google Compute Engine](https://coreos.com/docs/running-coreos/cloud-providers/google-compute-engine/).
@@ -74,14 +74,14 @@ gcloud compute instances create master \
 --machine-type n1-standard-1 \
 --zone us-central1-a \
 --metadata-from-file user-data=master.yaml
-
 ```
+
 #### Capture the private IP address
 
 ```shell
 gcloud compute instances list
-
 ```
+
 #### Edit node.yaml
 
 Edit `node.yaml` and replace all instances of `<master-private-ip>` with the private IP address of the master node.
@@ -96,8 +96,8 @@ gcloud compute instances create node1 \
 --machine-type n1-standard-1 \
 --zone us-central1-a \
 --metadata-from-file user-data=node.yaml
-
 ```
+
 #### Establish network connectivity
 
 Next, setup an ssh tunnel to the master so you can run kubectl from your local host.
@@ -119,14 +119,14 @@ OS_PASSWORD
 OS_AUTH_URL
 OS_USERNAME
 OS_TENANT_NAME
-
 ```
+
 Test this works with something like:
 
-```
+```shell
 nova list
-
 ```
+
 #### Get a Suitable CoreOS Image
 
 You'll need a [suitable version of CoreOS image for OpenStack](https://coreos.com/os/docs/latest/booting-on-openstack)
@@ -137,16 +137,16 @@ glance image-create --name CoreOS723 \
 --container-format bare --disk-format qcow2 \
 --file coreos_production_openstack_image.img \
 --is-public True
-
 ```
+
 #### Create security group
 
 ```shell
 nova secgroup-create kubernetes "Kubernetes Security Group"
 nova secgroup-add-rule kubernetes tcp 22 22   0.0.0.0/0
 nova secgroup-add-rule kubernetes tcp 80 80   0.0.0.0/0
-
 ```
+
 #### Provision the Master
 
 ```shell
@@ -157,39 +157,35 @@ nova boot \
 --security-group kubernetes \
 --user-data files/master.yaml \
 kube-master
-
 ```
-```<image_name>```
-is the CoreOS image name.  In our example we can use the image we created in the previous step and put in 'CoreOS723'
 
-```<my_key>```
+`<image_name>` is the CoreOS image name. In our example we can use the image we created in the previous step and put in 'CoreOS723'
-is the keypair name that you already generated to access the instance.
 
-```<flavor_id>```
+`<my_key>` is the keypair name that you already generated to access the instance.
-is the flavor ID you use to size the instance.  Run ```nova flavor-list```
+
+`<flavor_id>` is the flavor ID you use to size the instance.  Run `nova flavor-list`
 to get the IDs.  3 on the system this was tested with gives the m1.large size.
 
 The important part is to ensure you have the files/master.yml as this is what will do all the post boot configuration. This path is relevant so we are assuming in this example that you are running the nova command in a directory where there is a subdirectory called files that has the master.yml file in it.  Absolute paths also work.
 
 Next, assign it a public IP address:
 
-```
+```shell
 nova floating-ip-list
-
 ```
+
 Get an IP address that's free and run:
 
-```
+```shell
 nova floating-ip-associate kube-master <ip address>
-
 ```
-where ```<ip address>```
+
-is the IP address that was available from the ```nova floating-ip-list```
+...where `<ip address>` is the IP address that was available from the `nova floating-ip-list`
 command.
 
 #### Provision Worker Nodes
 
-Edit ```node.yaml```
+Edit `node.yaml`
 and replace all instances of ```<master-private-ip>```
 with the private IP address of the master node.  You can get this by running ```nova show kube-master```
 assuming you named your instance kube master.  This is not the floating IP address you just assigned it.
@@ -202,8 +198,6 @@ nova boot \
 --security-group kubernetes \
 --user-data files/node.yaml \
 minion01
-
 ```
+
 This is basically the same as the master nodes but with the node.yaml post-boot script instead of the master.
-
-

v1.1/docs/getting-started-guides/docker-multinode/deployDNS.md

@@ -13,7 +13,7 @@ First of all, download the template dns rc and svc file from
 
 Then you need to set `DNS_REPLICAS` , `DNS_DOMAIN` , `DNS_SERVER_IP` , `KUBE_SERVER` ENV.
 
-```
+```shell
 $ export DNS_REPLICAS=1
 
 $ export DNS_DOMAIN=cluster.local # specify in startup parameter `--cluster-domain` for containerized kubelet 
@@ -21,25 +21,25 @@ $ export DNS_DOMAIN=cluster.local # specify in startup parameter `--cluster-doma
 $ export DNS_SERVER_IP=10.0.0.10  # specify in startup parameter `--cluster-dns` for containerized kubelet 
 
 $ export KUBE_SERVER=10.10.103.250 # your master server ip, you may change it
-
 ```
+
 ### Replace the corresponding value in the template.
 
-```
+```shell
 $ sed -e "s/{{ pillar\['dns_replicas'\] }}/${DNS_REPLICAS}/g;s/{{ pillar\['dns_domain'\] }}/${DNS_DOMAIN}/g;s/{kube_server_url}/${KUBE_SERVER}/g;" skydns-rc.yaml.in > ./skydns-rc.yaml
 
 $ sed -e "s/{{ pillar\['dns_server'\] }}/${DNS_SERVER_IP}/g" skydns-svc.yaml.in > ./skydns-svc.yaml
-
 ```
+
 ### Use `kubectl` to create skydns rc and service
 
 
-```
+```shell
 $ kubectl -s "$KUBE_SERVER:8080" --namespace=kube-system create -f ./skydns-rc.yaml
 
 $ kubectl -s "$KUBE_SERVER:8080" --namespace=kube-system create -f ./skydns-svc.yaml
-
 ```
+
 ### Test if DNS works
 
 Follow [this link](https://releases.k8s.io/release-1.1/cluster/addons/dns#how-do-i-test-if-it-is-working) to check it out.

v1.1/docs/getting-started-guides/docker-multinode/master.md

@@ -24,8 +24,8 @@ Run:
 
 ```shell
 sudo sh -c 'docker -d -H unix:///var/run/docker-bootstrap.sock -p /var/run/docker-bootstrap.pid --iptables=false --ip-masq=false --bridge=none --graph=/var/lib/docker-bootstrap 2> /var/log/docker-bootstrap.log 1> /dev/null &'
-
 ```
+
 _Important Note_:
 If you are running this on a long running system, rather than experimenting, you should run the bootstrap Docker instance under something like SysV init, upstart or systemd so that it is restarted
 across reboots and failures.
@@ -37,14 +37,14 @@ Run:
 
 ```shell
 sudo docker -H unix:///var/run/docker-bootstrap.sock run --net=host -d gcr.io/google_containers/etcd:2.0.12 /usr/local/bin/etcd --addr=127.0.0.1:4001 --bind-addr=0.0.0.0:4001 --data-dir=/var/etcd/data
-
 ```
+
 Next, you need to set a CIDR range for flannel.  This CIDR should be chosen to be non-overlapping with any existing network you are using:
 
 ```shell
 sudo docker -H unix:///var/run/docker-bootstrap.sock run --net=host gcr.io/google_containers/etcd:2.0.12 etcdctl set /coreos.com/network/config '{ "Network": "10.1.0.0/16" }'
-
 ```
+
 ### Set up Flannel on the master node
 
 Flannel is a network abstraction layer build by CoreOS, we will use it to provide simplified networking between our Pods of containers.
@@ -59,14 +59,14 @@ Turning down Docker is system dependent, it may be:
 
 ```shell
 sudo /etc/init.d/docker stop
-
 ```
+
 or
 
 ```shell
 sudo systemctl stop docker
-
 ```
+
 or it may be something else.
 
 #### Run flannel
@@ -75,16 +75,16 @@ Now run flanneld itself:
 
 ```shell
 sudo docker -H unix:///var/run/docker-bootstrap.sock run -d --net=host --privileged -v /dev/net:/dev/net quay.io/coreos/flannel:0.5.0
-
 ```
+
 The previous command should have printed a really long hash, copy this hash.
 
 Now get the subnet settings from flannel:
 
 ```shell
 sudo docker -H unix:///var/run/docker-bootstrap.sock exec <really-long-hash-from-above-here> cat /run/flannel/subnet.env
-
 ```
+
 #### Edit the docker configuration
 
 You now need to edit the docker configuration to activate new flags.  Again, this is system specific.
@@ -95,8 +95,8 @@ Regardless, you need to add the following to the docker command line:
 
 ```shell
 --bip=${FLANNEL_SUBNET} --mtu=${FLANNEL_MTU}
-
 ```
+
 #### Remove the existing Docker bridge
 
 Docker creates a bridge named `docker0` by default.  You need to remove this:
@@ -104,8 +104,8 @@ Docker creates a bridge named `docker0` by default.  You need to remove this:
 ```shell
 sudo /sbin/ifconfig docker0 down
 sudo brctl delbr docker0
-
 ```
+
 You may need to install the `bridge-utils` package for the `brctl` binary.
 
 #### Restart Docker
@@ -114,14 +114,14 @@ Again this is system dependent, it may be:
 
 ```shell
 sudo /etc/init.d/docker start
-
 ```
+
 it may be:
 
 ```shell
 systemctl start docker
-
 ```
+
 ## Starting the Kubernetes Master
 
 Ok, now that your networking is set up, you can startup Kubernetes, this is the same as the single-node case, we will use the "main" instance of the Docker daemon for the Kubernetes components.
@@ -139,16 +139,16 @@ sudo docker run \
     --pid=host \ 
     -d \
     gcr.io/google_containers/hyperkube:v1.0.1 /hyperkube kubelet --api-servers=http://localhost:8080 --v=2 --address=0.0.0.0 --enable-server --hostname-override=127.0.0.1 --config=/etc/kubernetes/manifests-multi --cluster-dns=10.0.0.10 --cluster-domain=cluster.local
-
 ```
+
 > Note that `--cluster-dns` and `--cluster-domain` is used to deploy dns, feel free to discard them if dns is not needed.
 
 ### Also run the service proxy
 
 ```shell
 sudo docker run -d --net=host --privileged gcr.io/google_containers/hyperkube:v1.0.1 /hyperkube proxy --master=http://127.0.0.1:8080 --v=2
-
 ```
+
 ### Test it out
 
 At this point, you should have a functioning 1-node cluster.  Let's test it out!
@@ -161,15 +161,15 @@ List the nodes
 
 ```shell
 kubectl get nodes
-
 ```
+
 This should print:
 
 ```shell
 NAME        LABELS                             STATUS
 127.0.0.1   kubernetes.io/hostname=127.0.0.1   Ready
-
 ```
+
 If the status of the node is `NotReady` or `Unknown` please check that all of the containers you created are successfully running.
 If all else fails, ask questions on [Slack](../../troubleshooting.html#slack).
 
@@ -177,6 +177,3 @@ If all else fails, ask questions on [Slack](../../troubleshooting.html#slack).
 ### Next steps
 
 Move on to [adding one or more workers](worker) or [deploy a dns](deployDNS)
-
-
-

v1.1/docs/getting-started-guides/docker-multinode/testing.md

@@ -5,50 +5,50 @@ To validate that your node(s) have been added, run:
 
 ```shell
 kubectl get nodes
-
 ```
+
 That should show something like:
 
 ```shell
 NAME           LABELS                                 STATUS
 10.240.99.26   kubernetes.io/hostname=10.240.99.26    Ready
 127.0.0.1      kubernetes.io/hostname=127.0.0.1       Ready
-
 ```
+
 If the status of any node is `Unknown` or `NotReady` your cluster is broken, double check that all containers are running properly, and if all else fails, contact us on [Slack](../../troubleshooting.html#slack).
 
 ### Run an application
 
 ```shell
 kubectl -s http://localhost:8080 run nginx --image=nginx --port=80
-
 ```
+
 now run `docker ps` you should see nginx running.  You may need to wait a few minutes for the image to get pulled.
 
 ### Expose it as a service
 
 ```shell
 kubectl expose rc nginx --port=80
-
 ```
-Run the following command to obtain the IP of this service we just created. There are two IPs, the first one is internal (CLUSTER_IP), and the second one is the external load-balanced IP.
+
+Run the following command to obtain the IP of this service we just created. There are two IPs, the first one is internal (`CLUSTER_IP`), and the second one is the external load-balanced IP.
 
 ```shell
 kubectl get svc nginx
-
 ```
+
 Alternatively, you can obtain only the first IP (CLUSTER_IP) by running:
 
 ```shell
-kubectl get svc nginx --template={{.spec.clusterIP}}
+{% raw %}kubectl get svc nginx --template={{.spec.clusterIP}}{% endraw %}
-
 ```
+
 Hit the webserver with the first IP (CLUSTER_IP):
 
 ```shell
 curl <insert-cluster-ip-here>
-
 ```
+
 Note that you will need run this curl command on your boot2docker VM if you are running on OS X.
 
 ### Scaling
@@ -57,15 +57,12 @@ Now try to scale up the nginx you created before:
 
 ```shell
 kubectl scale rc nginx --replicas=3
-
 ```
+
 And list the pods
 
 ```shell
 kubectl get pods
-
 ```
+
 You should see pods landing on the newly added machine.
-
-
-

v1.1/docs/getting-started-guides/docker-multinode/worker.md

@@ -6,9 +6,10 @@ You need to repeat these instructions for each node you want to join the cluster
 We will assume that the IP address of this node is `${NODE_IP}` and you have the IP address of the master in `${MASTER_IP}` that you created in the [master instructions](master).
 
 For each worker node, there are three steps:
-   * [Set up `flanneld` on the worker node](#set-up-flanneld-on-the-worker-node)
+
-   * [Start Kubernetes on the worker node](#start-kubernetes-on-the-worker-node)
+* [Set up `flanneld` on the worker node](#set-up-flanneld-on-the-worker-node)
-   * [Add the worker to the cluster](#add-the-node-to-the-cluster)
+* [Start Kubernetes on the worker node](#start-kubernetes-on-the-worker-node)
+* [Add the worker to the cluster](#add-the-node-to-the-cluster)
 
 ### Set up Flanneld on the worker node
 
@@ -27,8 +28,8 @@ Run:
 
 ```shell
 sudo sh -c 'docker -d -H unix:///var/run/docker-bootstrap.sock -p /var/run/docker-bootstrap.pid --iptables=false --ip-masq=false --bridge=none --graph=/var/lib/docker-bootstrap 2> /var/log/docker-bootstrap.log 1> /dev/null &'
-
 ```
+
 _Important Note_:
 If you are running this on a long running system, rather than experimenting, you should run the bootstrap Docker instance under something like SysV init, upstart or systemd so that it is restarted
 across reboots and failures.
@@ -41,14 +42,14 @@ Turning down Docker is system dependent, it may be:
 
 ```shell
 sudo /etc/init.d/docker stop
-
 ```
+
 or
 
 ```shell
 sudo systemctl stop docker
-
 ```
+
 or it may be something else.
 
 #### Run flannel
@@ -57,16 +58,16 @@ Now run flanneld itself, this call is slightly different from the above, since w
 
 ```shell
 sudo docker -H unix:///var/run/docker-bootstrap.sock run -d --net=host --privileged -v /dev/net:/dev/net quay.io/coreos/flannel:0.5.0 /opt/bin/flanneld --etcd-endpoints=http://${MASTER_IP}:4001
-
 ```
+
 The previous command should have printed a really long hash, copy this hash.
 
 Now get the subnet settings from flannel:
 
 ```shell
 sudo docker -H unix:///var/run/docker-bootstrap.sock exec <really-long-hash-from-above-here> cat /run/flannel/subnet.env
-
 ```
+
 #### Edit the docker configuration
 
 You now need to edit the docker configuration to activate new flags.  Again, this is system specific.
@@ -77,8 +78,8 @@ Regardless, you need to add the following to the docker command line:
 
 ```shell
 --bip=${FLANNEL_SUBNET} --mtu=${FLANNEL_MTU}
-
 ```
+
 #### Remove the existing Docker bridge
 
 Docker creates a bridge named `docker0` by default.  You need to remove this:
@@ -86,8 +87,8 @@ Docker creates a bridge named `docker0` by default.  You need to remove this:
 ```shell
 sudo /sbin/ifconfig docker0 down
 sudo brctl delbr docker0
-
 ```
+
 You may need to install the `bridge-utils` package for the `brctl` binary.
 
 #### Restart Docker
@@ -96,14 +97,14 @@ Again this is system dependent, it may be:
 
 ```shell
 sudo /etc/init.d/docker start
-
 ```
+
 it may be:
 
 ```shell
 systemctl start docker
-
 ```
+
 ### Start Kubernetes on the worker node
 
 #### Run the kubelet
@@ -123,19 +124,16 @@ sudo docker run \
     --pid=host \ 
     -d \
     gcr.io/google_containers/hyperkube:v1.0.1 /hyperkube kubelet --api-servers=http://${MASTER_IP}:8080 --v=2 --address=0.0.0.0 --enable-server --hostname-override=$(hostname -i) --cluster-dns=10.0.0.10 --cluster-domain=cluster.local
-
 ```
+
 #### Run the service proxy
 
 The service proxy provides load-balancing between groups of containers defined by Kubernetes `Services`
 
 ```shell
 sudo docker run -d --net=host --privileged gcr.io/google_containers/hyperkube:v1.0.1 /hyperkube proxy --master=http://${MASTER_IP}:8080 --v=2
-
 ```
+
 ### Next steps
 
-Move on to [testing your cluster](testing) or [add another node](#adding-a-kubernetes-worker-node-via-docker)
+Move on to [testing your cluster](testing) or add another node](#).
-
-
-

v1.1/docs/getting-started-guides/fedora/fedora-calico.md

@@ -13,6 +13,7 @@ This guide will walk you through the process of getting a Kubernetes Fedora clus
 It will cover the installation and configuration of the following systemd processes on the following hosts:
 
 Kubernetes Master:
+
 - `kube-apiserver`
 - `kube-controller-manager`
 - `kube-scheduler`
@@ -21,6 +22,7 @@ Kubernetes Master:
 - `calico-node`
 
 Kubernetes Node:
+
 - `kubelet`
 - `kube-proxy`
 - `docker`
@@ -44,12 +46,12 @@ Digital Ocean private networking configures a private network on eth1 for each h
 so that all hosts in the cluster can hostname-resolve one another to this interface.  **It is important that the hostname resolves to this interface instead of eth0, as
 all Kubernetes and Calico services will be running on it.**
 
-```
+```shell
 echo "10.134.251.56 kube-master" >> /etc/hosts
 echo "10.134.251.55 kube-node-1" >> /etc/hosts
-
 ```
->Make sure that communication works between kube-master and each kube-node by using a utility such as ping.
+
+> Make sure that communication works between kube-master and each kube-node by using a utility such as ping.
 
 ## Setup Master
 
@@ -57,36 +59,36 @@ echo "10.134.251.55 kube-node-1" >> /etc/hosts
 
 * Both Calico and Kubernetes use etcd as their datastore. We will run etcd on Master and point all Kubernetes and Calico services at it.
 
-```
+```shell
 yum -y install etcd
-
 ```
+
 * Edit `/etc/etcd/etcd.conf`
 
-```
+```conf
 ETCD_LISTEN_CLIENT_URLS="http://kube-master:4001"
 
 ETCD_ADVERTISE_CLIENT_URLS="http://kube-master:4001"
-
 ```
+
 ### Install Kubernetes
 
 * Run the following command on Master to install the latest Kubernetes (as well as docker):
 
-```
+```shell
 yum -y install kubernetes
-
 ```
+
 * Edit `/etc/kubernetes/config `
 
-```
+```conf
 # How the controller-manager, scheduler, and proxy find the apiserver
 KUBE_MASTER="--master=http://kube-master:8080"
-
 ```
+
 * Edit `/etc/kubernetes/apiserver`
 
-```
+```conf
 # The address on the local server to listen to.
 KUBE_API_ADDRESS="--insecure-bind-address=0.0.0.0"
 
@@ -94,40 +96,40 @@ KUBE_ETCD_SERVERS="--etcd-servers=http://kube-master:4001"
 
 # Remove ServiceAccount from this line to run without API Tokens
 KUBE_ADMISSION_CONTROL="--admission-control=NamespaceLifecycle,NamespaceExists,LimitRanger,SecurityContextDeny,ResourceQuota"
-
 ```
+
 * Create /var/run/kubernetes on master:
 
-```
+```shell
 mkdir /var/run/kubernetes
 chown kube:kube /var/run/kubernetes
 chmod 750 /var/run/kubernetes
-
 ```
+
 * Start the appropriate services on master:
 
-```
+```shell
 for SERVICE in etcd kube-apiserver kube-controller-manager kube-scheduler; do
     systemctl restart $SERVICE
     systemctl enable $SERVICE
     systemctl status $SERVICE
 done
-
 ```
+
 ### Install Calico
 
 Next, we'll launch Calico on Master to allow communication between Pods and any services running on the Master.
 * Install calicoctl, the calico configuration tool.
 
-```
+```shell
 wget https://github.com/Metaswitch/calico-docker/releases/download/v0.5.5/calicoctl
 chmod +x ./calicoctl
 sudo mv ./calicoctl /usr/bin
-
 ```
+
 * Create `/etc/systemd/system/calico-node.service`
 
-```
+```conf
 [Unit]
 Description=calicoctl node
 Requires=docker.service
@@ -142,17 +144,17 @@ ExecStart=/usr/bin/calicoctl node --ip=10.134.251.56 --detach=false
 
 [Install]
 WantedBy=multi-user.target
-
 ```
+
 >Be sure to substitute `--ip=10.134.251.56` with your Master's eth1 IP Address.
 
 * Start Calico
 
-```
+```shell
 systemctl enable calico-node.service
 systemctl start calico-node.service
-
 ```
+
 >Starting calico for the first time may take a few minutes as the calico-node docker image is downloaded.
 
 ## Setup Node
@@ -164,57 +166,57 @@ In order to set our own address range, we will create a new virtual interface ca
 
 * Add a virtual interface by creating `/etc/sysconfig/network-scripts/ifcfg-cbr0`:
 
-```
+```conf
 DEVICE=cbr0
 TYPE=Bridge
 IPADDR=192.168.1.1
 NETMASK=255.255.255.0
 ONBOOT=yes
 BOOTPROTO=static
-
 ```
+
 >**Note for Multi-Node Clusters:** Each node should be assigned an IP address on a unique subnet. In this example, node-1 is using 192.168.1.1/24,
 so node-2 should be assigned another pool on the 192.168.x.0/24 subnet, e.g. 192.168.2.1/24.
 
 * Ensure that your system has bridge-utils installed. Then, restart the networking daemon to activate the new interface
 
-```
+```shell
 systemctl restart network.service
-
 ```
+
 ### Install Docker
 
 * Install Docker
 
-```
+```shell
 yum -y install docker
-
 ```
+
 * Configure docker to run on `cbr0` by editing `/etc/sysconfig/docker-network`:
 
-```
+```conf
 DOCKER_NETWORK_OPTIONS="--bridge=cbr0 --iptables=false --ip-masq=false"
-
 ```
+
 * Start docker
 
-```
+```shell
 systemctl start docker
-
 ```
+
 ### Install Calico
 
 * Install calicoctl, the calico configuration tool.
 
-```
+```shell
 wget https://github.com/Metaswitch/calico-docker/releases/download/v0.5.5/calicoctl
 chmod +x ./calicoctl
 sudo mv ./calicoctl /usr/bin
-
 ```
+
 * Create `/etc/systemd/system/calico-node.service`
 
-```
+```conf
 [Unit]
 Description=calicoctl node
 Requires=docker.service
@@ -229,48 +231,48 @@ ExecStart=/usr/bin/calicoctl node --ip=10.134.251.55 --detach=false --kubernetes
 
 [Install]
 WantedBy=multi-user.target
-
 ```
+
 > Note: You must replace the IP address with your node's eth1 IP Address!
 
 * Start Calico
 
-```
+```shell
 systemctl enable calico-node.service
 systemctl start calico-node.service
-
 ```
+
 * Configure the IP Address Pool
 
  Most Kubernetes application deployments will require communication between Pods and the kube-apiserver on Master. On a  standard Digital
 Ocean Private Network, requests sent from Pods to the kube-apiserver will not be returned as the networking fabric will drop response packets
 destined for any 192.168.0.0/16 address. To resolve this, you can have calicoctl add a masquerade rule to all outgoing traffic on the node:
 
-```
+```shell
 ETCD_AUTHORITY=kube-master:4001 calicoctl pool add 192.168.0.0/16 --nat-outgoing
-
 ```
+
 ### Install Kubernetes
 
 * First, install Kubernetes.
 
-```
+```shell
 yum -y install kubernetes
-
 ```
+
 * Edit `/etc/kubernetes/config`
 
-```
+```conf
 # How the controller-manager, scheduler, and proxy find the apiserver
 KUBE_MASTER="--master=http://kube-master:8080"
-
 ```
+
 * Edit `/etc/kubernetes/kubelet`
 
   We'll pass in an extra parameter - `--network-plugin=calico` to tell the Kubelet to use the Calico networking plugin. Additionally, we'll add two
 environment variables that will be used by the Calico networking plugin.
 
-```
+```shell
 # The address for the info server to serve on (set to 0.0.0.0 or "" for all interfaces)
 KUBELET_ADDRESS="--address=0.0.0.0"
 
@@ -286,25 +288,24 @@ KUBELET_ARGS="--network-plugin=calico"
 # The following are variables which the kubelet will pass to the calico-networking plugin
 ETCD_AUTHORITY="kube-master:4001"
 KUBE_API_ROOT="http://kube-master:8080/api/v1"
-
 ```
+
 * Start Kubernetes on the node.
 
-```
+```shell
 for SERVICE in kube-proxy kubelet; do 
     systemctl restart $SERVICE
     systemctl enable $SERVICE
     systemctl status $SERVICE 
 done
-
 ```
+
 ## Check Running Cluster
 
 The cluster should be running! Check that your nodes are reporting as such:
 
-```
+```shell
 kubectl get nodes
 NAME          LABELS                               STATUS
 kube-node-1   kubernetes.io/hostname=kube-node-1   Ready
-
 ```

v1.1/docs/getting-started-guides/fedora/fedora_ansible_config.md

@@ -1,11 +1,8 @@
 ---
 title: "Configuring Kubernetes on Fedora via Ansible"
 ---
-
 Configuring Kubernetes on Fedora via Ansible offers a simple way to quickly create a clustered environment with little effort.
 
-
-
 {% include pagetoc.html %}
 
 ## Prerequisites
@@ -25,6 +22,7 @@ master,etcd = kube-master.example.com
     node1 = kube-node-01.example.com
     node2 = kube-node-02.example.com
 ```
+
 **Make sure your local machine has**
 
  - ansible (must be 1.9.0+)
@@ -36,12 +34,14 @@ If not
 ```shell
 yum install -y ansible git python-netaddr
 ```
+
 **Now clone down the Kubernetes repository**
 
 ```shell
 git clone https://github.com/kubernetes/contrib.git
 cd contrib/ansible
 ```
+
 **Tell ansible about each machine and its role in your cluster**
 
 Get the IP addresses from the master and nodes.  Add those to the `~/contrib/ansible/inventory` file on the host running Ansible.
@@ -57,6 +57,7 @@ kube-master.example.com
 kube-node-01.example.com
 kube-node-02.example.com
 ```
+
 ## Setting up ansible access to your nodes
 
 If you already are running on a machine which has passwordless ssh access to the kube-master and kube-node-{01,02} nodes, and 'sudo' privileges, simply set the value of `ansible_ssh_user` in `~/contrib/ansible/group_vars/all.yaml` to the username which you use to ssh to the nodes (i.e. `fedora`), and proceed to the next step...
@@ -68,6 +69,7 @@ edit: ~/contrib/ansible/group_vars/all.yml
 ```yaml
 ansible_ssh_user: root
 ```
+
 **Configuring ssh access to the cluster**
 
 If you already have ssh access to every machine using ssh public keys you may skip to [setting up the cluster](#setting-up-the-cluster)
@@ -77,6 +79,7 @@ Make sure your local machine (root) has an ssh key pair if not
 ```shell
 ssh-keygen
 ```
+
 Copy the ssh public key to **all** nodes in the cluster
 
 ```shell
@@ -84,11 +87,14 @@ for node in kube-master.example.com kube-node-01.example.com kube-node-02.exampl
   ssh-copy-id ${node}
 done
 ```
+
 ## Setting up the cluster
 
 Although the default value of variables in `~/contrib/ansible/group_vars/all.yml` should be good enough, if not, change them as needed.
 
+```conf
 edit: ~/contrib/ansible/group_vars/all.yml
+```
 
 **Configure access to kubernetes packages**
 
@@ -97,6 +103,7 @@ Modify `source_type` as below to access kubernetes packages through the package
 ```yaml
 source_type: packageManager
 ```
+
 **Configure the IP addresses used for services**
 
 Each Kubernetes service gets its own IP address.  These are not real IPs.  You need only select a range of IPs which are not in use elsewhere in your environment.
@@ -104,6 +111,7 @@ Each Kubernetes service gets its own IP address.  These are not real IPs.  You n
 ```yaml
 kube_service_addresses: 10.254.0.0/16
 ```
+
 **Managing flannel**
 
 Modify `flannel_subnet`, `flannel_prefix` and `flannel_host_prefix` only if defaults are not appropriate for your cluster.
@@ -116,16 +124,19 @@ Set `cluster_logging` to false or true (default) to disable or enable logging wi
 ```yaml
 cluster_logging: true
 ```
+
 Turn `cluster_monitoring` to true (default) or false to enable or disable cluster monitoring with heapster and influxdb.
 
 ```yaml
 cluster_monitoring: true
 ```
+
 Turn `dns_setup` to true (recommended) or false to enable or disable whole DNS configuration.
 
 ```yaml
 dns_setup: true
 ```
+
 **Tell ansible to get to work!**
 
 This will finally setup your whole Kubernetes cluster for you.
@@ -135,6 +146,7 @@ cd ~/contrib/ansible/
 
 ./setup.sh
 ```
+
 ## Testing and using your new cluster
 
 That's all there is to it.  It's really that easy.  At this point you should have a functioning Kubernetes cluster.
@@ -146,11 +158,13 @@ Run the following on the kube-master:
 ```shell
 kubectl get nodes
 ```
+
 **Show services running on masters and nodes**
 
 ```shell
 systemctl | grep -i kube
 ```
+
 **Show firewall rules on the masters and nodes**
 
 ```shell
@@ -184,23 +198,28 @@ iptables -nvL
   }
 }
 ```
+
 ```shell
 kubectl create -f /tmp/apache.json
 ```
+
 **Check where the pod was created**
 
 ```shell
 kubectl get pods
 ```
+
 **Check Docker status on nodes**
 
 ```shell
 docker ps
 docker images
 ```
+
 **After the pod is 'Running' Check web server access on the node**
 
 ```shell
 curl http://localhost
 ```
+
 That's it !

v1.1/docs/getting-started-guides/fedora/fedora_manual_config.md

@@ -24,11 +24,11 @@ that _etcd_ and Kubernetes master run on the same host).  The remaining host, fe
 
 Hosts:
 
-```
+```conf
 fed-master = 192.168.121.9
 fed-node = 192.168.121.65
-
 ```
+
 **Prepare the hosts:**
 
 * Install Kubernetes on all hosts - fed-{master,node}.  This will also pull in docker. Also install etcd on fed-master. 
@@ -43,21 +43,21 @@ fed-node = 192.168.121.65
 
 ```shell
 yum -y install --enablerepo=updates-testing kubernetes
-
 ```
+
 * Install etcd and iptables
 
 ```shell
 yum -y install etcd iptables
-
 ```
+
 * Add master and node to /etc/hosts on all machines (not needed if hostnames already in DNS). Make sure that communication works between fed-master and fed-node by using a utility such as ping.
 
 ```shell
 echo "192.168.121.9	fed-master
 192.168.121.65	fed-node" >> /etc/hosts
-
 ```
+
 * Edit /etc/kubernetes/config which will be the same on all hosts (master and node) to contain:
 
 ```shell
@@ -72,15 +72,15 @@ KUBE_LOG_LEVEL="--v=0"
 
 # Should this cluster be allowed to run privileged docker containers
 KUBE_ALLOW_PRIV="--allow-privileged=false"
-
 ```
+
 * Disable the firewall on both the master and node, as docker does not play well with other firewall rule managers.  Please note that iptables-services does not exist on default fedora server install.
 
 ```shell
 systemctl disable iptables-services firewalld
 systemctl stop iptables-services firewalld
-
 ```
+
 **Configure the Kubernetes services on the master.**
 
 * Edit /etc/kubernetes/apiserver to appear as such.  The service-cluster-ip-range IP addresses must be an unused block of addresses, not used anywhere else. 
@@ -98,22 +98,22 @@ KUBE_SERVICE_ADDRESSES="--service-cluster-ip-range=10.254.0.0/16"
 
 # Add your own!
 KUBE_API_ARGS=""
-
 ```
+
 * Edit /etc/etcd/etcd.conf,let the etcd to listen all the ip instead of 127.0.0.1, if not, you will get the error like "connection refused". Note that Fedora 22 uses etcd 2.0, One of the changes in etcd 2.0 is that now uses port 2379 and 2380 (as opposed to etcd 0.46 which userd 4001 and 7001).
 
 ```shell
 ETCD_LISTEN_CLIENT_URLS="http://0.0.0.0:4001"
-
 ```
+
 * Create /var/run/kubernetes on master:
 
 ```shell
 mkdir /var/run/kubernetes
 chown kube:kube /var/run/kubernetes
 chmod 750 /var/run/kubernetes
-
 ```
+
 * Start the appropriate services on master:
 
 ```shell
@@ -122,8 +122,8 @@ for SERVICES in etcd kube-apiserver kube-controller-manager kube-scheduler; do
 	systemctl enable $SERVICES
 	systemctl status $SERVICES
 done
-
 ```
+
 * Addition of nodes:
 
 * Create following node.json file on Kubernetes master node:
@@ -140,8 +140,8 @@ done
         "externalID": "fed-node"
     }
 }
-
 ```
+
 Now create a node object internally in your Kubernetes cluster by running:
 
 ```shell
@@ -150,8 +150,8 @@ $ kubectl create -f ./node.json
 $ kubectl get nodes
 NAME                LABELS              STATUS
 fed-node           name=fed-node-label     Unknown
-
 ```
+
 Please note that in the above, it only creates a representation for the node
 _fed-node_ internally. It does not provision the actual _fed-node_. Also, it
 is assumed that _fed-node_ (as specified in `name`) can be resolved and is
@@ -179,8 +179,8 @@ KUBELET_API_SERVER="--api-servers=http://fed-master:8080"
 
 # Add your own!
 #KUBELET_ARGS=""
-
 ```
+
 * Start the appropriate services on the node (fed-node).
 
 ```shell
@@ -189,29 +189,26 @@ for SERVICES in kube-proxy kubelet docker; do
     systemctl enable $SERVICES
     systemctl status $SERVICES 
 done
-
 ```
+
 * Check to make sure now the cluster can see the fed-node on fed-master, and its status changes to _Ready_.
 
 ```shell
 kubectl get nodes
 NAME                LABELS              STATUS
 fed-node          name=fed-node-label     Ready
-
 ```
+
 * Deletion of nodes:
 
 To delete _fed-node_ from your Kubernetes cluster, one should run the following on fed-master (Please do not do it, it is just for information):
 
 ```shell
 kubectl delete -f ./node.json
-
 ```
+
 *You should be finished!*
 
 **The cluster should be running! Launch a test pod.**
 
 You should have a functional cluster, check out [101](/{{page.version}}/docs/user-guide/walkthrough/README)!
-
-
-

v1.1/docs/getting-started-guides/fedora/flannel_multi_node_cluster.md

@@ -1,23 +1,19 @@
 ---
 title: "Kubernetes multiple nodes cluster with flannel on Fedora"
 ---
-
+This document describes how to deploy Kubernetes on multiple hosts to set up a multi-node cluster and networking with flannel. Follow fedora [getting started guide](fedora_manual_config) to setup 1 master (fed-master) and 2 or more nodes. Make sure that all nodes have different names (fed-node1, fed-node2 and so on) and labels (fed-node1-label, fed-node2-label, and so on) to avoid any conflict. Also make sure that the Kubernetes master host is running etcd, kube-controller-manager, kube-scheduler, and kube-apiserver services, and the nodes are running docker, kube-proxy and kubelet services. Now install flannel on Kubernetes nodes. flannel on each node configures an overlay network that docker uses. flannel runs on each node to setup a unique class-C container network.
 
 {% include pagetoc.html %}
 
-## Introduction
-
-This document describes how to deploy Kubernetes on multiple hosts to set up a multi-node cluster and networking with flannel. Follow fedora [getting started guide](fedora_manual_config) to setup 1 master (fed-master) and 2 or more nodes. Make sure that all nodes have different names (fed-node1, fed-node2 and so on) and labels (fed-node1-label, fed-node2-label, and so on) to avoid any conflict. Also make sure that the Kubernetes master host is running etcd, kube-controller-manager, kube-scheduler, and kube-apiserver services, and the nodes are running docker, kube-proxy and kubelet services. Now install flannel on Kubernetes nodes. flannel on each node configures an overlay network that docker uses. flannel runs on each node to setup a unique class-C container network.
-
 ## Prerequisites
 
-1. You need 2 or more machines with Fedora installed.
+You need 2 or more machines with Fedora installed.
 
 ## Master Setup
 
 **Perform following commands on the Kubernetes master**
 
-* Configure flannel by creating a `flannel-config.json` in your current directory on fed-master. flannel provides udp and vxlan among other overlay networking backend options. In this guide, we choose kernel based vxlan backend. The contents of the json are:
+Configure flannel by creating a `flannel-config.json` in your current directory on fed-master. flannel provides udp and vxlan among other overlay networking backend options. In this guide, we choose kernel based vxlan backend. The contents of the json are:
 
 ```json
 {
@@ -29,23 +25,26 @@ This document describes how to deploy Kubernetes on multiple hosts to set up a m
      }
 }
 ```
+
 **NOTE:** Choose an IP range that is *NOT* part of the public IP address range.
 
-* Add the configuration to the etcd server on fed-master.
+Add the configuration to the etcd server on fed-master.
 
 ```shell
 etcdctl set /coreos.com/network/config < flannel-config.json
 ```
+
 * Verify the key exists in the etcd server on fed-master.
 
 ```shell
 etcdctl get /coreos.com/network/config
 ```
+
 ## Node Setup
 
 **Perform following commands on all Kubernetes nodes**
 
-* Edit the flannel configuration file /etc/sysconfig/flanneld as follows:
+Edit the flannel configuration file /etc/sysconfig/flanneld as follows:
 
 ```shell
 # Flanneld configuration options
@@ -60,19 +59,22 @@ FLANNEL_ETCD_KEY="/coreos.com/network"
 # Any additional options that you want to pass
 FLANNEL_OPTIONS=""
 ```
+
 **Note:** By default, flannel uses the interface for the default route. If you have multiple interfaces and would like to use an interface other than the default route one, you could add "-iface=" to FLANNEL_OPTIONS. For additional options, run `flanneld --help` on command line.
 
-* Enable the flannel service.
+Enable the flannel service.
 
 ```shell
 systemctl enable flanneld
 ```
-* If docker is not running, then starting flannel service is enough and skip the next step.
+
+If docker is not running, then starting flannel service is enough and skip the next step.
 
 ```shell
 systemctl start flanneld
 ```
-* If docker is already running, then stop docker, delete docker bridge (docker0), start flanneld and restart docker as follows. Another alternative is to just reboot the system (`systemctl reboot`).
+
+If docker is already running, then stop docker, delete docker bridge (docker0), start flanneld and restart docker as follows. Another alternative is to just reboot the system (`systemctl reboot`).
 
 ```shell
 systemctl stop docker
@@ -80,11 +82,11 @@ ip link delete docker0
 systemctl start flanneld
 systemctl start docker
 ```
-***
+
 
 ## **Test the cluster and flannel configuration**
 
-* Now check the interfaces on the nodes. Notice there is now a flannel.1 interface, and the ip addresses of docker0 and flannel.1 interfaces are in the same network. You will notice that docker0 is assigned a subnet (18.16.29.0/24 as shown below) on each Kubernetes node out of the IP range configured above. A working output should look like this:
+Now check the interfaces on the nodes. Notice there is now a flannel.1 interface, and the ip addresses of docker0 and flannel.1 interfaces are in the same network. You will notice that docker0 is assigned a subnet (18.16.29.0/24 as shown below) on each Kubernetes node out of the IP range configured above. A working output should look like this:
 
 ```shell
 # ip -4 a|grep inet
@@ -93,11 +95,13 @@ systemctl start docker
     inet 18.16.29.0/16 scope global flannel.1
     inet 18.16.29.1/24 scope global docker0
 ```
-* From any node in the cluster, check the cluster members by issuing a query to etcd server via curl (only partial output is shown using `grep -E "\{|\}|key|value"`). If you set up a 1 master and 3 nodes cluster, you should see one block for each node showing the subnets they have been assigned. You can associate those subnets to each node by the MAC address (VtepMAC) and IP address (Public IP) that is listed in the output.
+
+From any node in the cluster, check the cluster members by issuing a query to etcd server via curl (only partial output is shown using `grep -E "\{|\}|key|value"`). If you set up a 1 master and 3 nodes cluster, you should see one block for each node showing the subnets they have been assigned. You can associate those subnets to each node by the MAC address (VtepMAC) and IP address (Public IP) that is listed in the output.
 
 ```shell
 curl -s http://fed-master:4001/v2/keys/coreos.com/network/subnets | python -mjson.tool
 ```
+
 ```json
 {
     "node": {
@@ -117,7 +121,8 @@ curl -s http://fed-master:4001/v2/keys/coreos.com/network/subnets | python -mjso
     }
 }
 ```
-* From all nodes, review the `/run/flannel/subnet.env` file.  This file was generated automatically by flannel.
+
+From all nodes, review the `/run/flannel/subnet.env` file.  This file was generated automatically by flannel.
 
 ```shell
 # cat /run/flannel/subnet.env
@@ -125,33 +130,37 @@ FLANNEL_SUBNET=18.16.29.1/24
 FLANNEL_MTU=1450
 FLANNEL_IPMASQ=false
 ```
-* At this point, we have etcd running on the Kubernetes master, and flannel / docker running on Kubernetes nodes. Next steps are for testing cross-host container communication which will confirm that docker and flannel are configured properly.
 
-* Issue the following commands on any 2 nodes:
+At this point, we have etcd running on the Kubernetes master, and flannel / docker running on Kubernetes nodes. Next steps are for testing cross-host container communication which will confirm that docker and flannel are configured properly.
+
+Issue the following commands on any 2 nodes:
 
 ```shell
 # docker run -it fedora:latest bash
 bash-4.3# 
 ```
-* This will place you inside the container. Install iproute and iputils packages to install ip and ping utilities. Due to a [bug](https://bugzilla.redhat.com/show_bug.cgi?id=1142311), it is required to modify capabilities of ping binary to work around "Operation not permitted" error.
+
+This will place you inside the container. Install iproute and iputils packages to install ip and ping utilities. Due to a [bug](https://bugzilla.redhat.com/show_bug.cgi?id=1142311), it is required to modify capabilities of ping binary to work around "Operation not permitted" error.
 
 ```shell
 bash-4.3# yum -y install iproute iputils
 bash-4.3# setcap cap_net_raw-ep /usr/bin/ping
 ```
-* Now note the IP address on the first node:
+
+Now note the IP address on the first node:
 
 ```shell
 bash-4.3# ip -4 a l eth0 | grep inet
     inet 18.16.29.4/24 scope global eth0
 ```
-* And also note the IP address on the other node:
+
+And also note the IP address on the other node:
 
 ```shell
 bash-4.3# ip a l eth0 | grep inet
     inet 18.16.90.4/24 scope global eth0
 ```
-* Now ping from the first node to the other node:
+Now ping from the first node to the other node:
 
 ```shell
 bash-4.3# ping 18.16.90.4
@@ -159,4 +168,5 @@ PING 18.16.90.4 (18.16.90.4) 56(84) bytes of data.
 64 bytes from 18.16.90.4: icmp_seq=1 ttl=62 time=0.275 ms
 64 bytes from 18.16.90.4: icmp_seq=2 ttl=62 time=0.372 ms
 ```
-* Now Kubernetes multi-node cluster is set up with overlay networking set up by flannel.
+
+Now Kubernetes multi-node cluster is set up with overlay networking set up by flannel.

v1.1/docs/getting-started-guides/libvirt-coreos.md

@@ -98,6 +98,7 @@ error: Cannot access storage file '$HOME/.../kubernetes/cluster/libvirt-coreos/l
 ```
 
 In order to fix that issue, you have several possibilities:
+
 * set `POOL_PATH` inside `cluster/libvirt-coreos/config-default.sh` to a directory:
   * backed by a filesystem with a lot of free disk space
   * writable by your user;

v1.1/docs/getting-started-guides/locally.md

@@ -1,8 +1,6 @@
 ---
 title: "Getting started locally"
----
+--
-
-
 {% include pagetoc.html %}
 
 ### Requirements

v1.1/docs/getting-started-guides/mesos-docker.md

@@ -5,8 +5,6 @@ title: "Getting Started With Kubernetes on Mesos on Docker"
 The mesos/docker provider uses docker-compose to launch Kubernetes as a Mesos framework, running in docker with its
 dependencies (etcd & mesos).
 
-
-
 {% include pagetoc.html %}
 
 ## Cluster Goals

v1.1/docs/getting-started-guides/mesos.md

@@ -1,15 +1,8 @@
 ---
 title: "Getting started with Kubernetes on Mesos"
 ---
-
-
-Getting started with Kubernetes on Mesos
-----------------------------------------
-
 {% include pagetoc.html %}
 
-
-
 ## About Kubernetes on Mesos
 
 <!-- TODO: Update, clean up. -->

v1.1/docs/getting-started-guides/rackspace.md

@@ -1,9 +1,6 @@
 ---
 title: "Getting started on Rackspace"
 ---
-
-## Introduction
-
 * Supported Version: v0.18.1
 
 In general, the dev-build-and-up.sh workflow for Rackspace is the similar to Google Compute Engine. The specific implementation is different due to the use of CoreOS, Rackspace Cloud Files and the overall network design.
@@ -13,11 +10,10 @@ These scripts should be used to deploy development environments for Kubernetes.
 NOTE: The rackspace scripts do NOT rely on `saltstack` and instead rely on cloud-init for configuration.
 
 The current cluster design is inspired by:
+
 - [corekube](https://github.com/metral/corekube)
 - [Angus Lees](https://github.com/anguslees/kube-openstack)
 
-
-
 {% include pagetoc.html %}
 
 ## Prerequisites

v1.1/docs/getting-started-guides/rkt/README.md

@@ -26,14 +26,14 @@ set these flags:
 $ export CONTAINER_RUNTIME=rkt
 $ export RKT_PATH=$PATH_TO_RKT_BINARY
 $ export RKT_STAGE1_IMAGE=PATH=$PATH_TO_STAGE1_IMAGE
-
 ```
+
 Then we can launch the local cluster using the script:
 
 ```shell
 $ hack/local-up-cluster.sh
-
 ```
+
 ### CoreOS cluster on Google Compute Engine (GCE)
 
 To use rkt as the container runtime for your CoreOS cluster on GCE, you need to specify the OS distribution, project, image:
@@ -43,20 +43,20 @@ $ export KUBE_OS_DISTRIBUTION=coreos
 $ export KUBE_GCE_MINION_IMAGE=<image_id>
 $ export KUBE_GCE_MINION_PROJECT=coreos-cloud
 $ export KUBE_CONTAINER_RUNTIME=rkt
-
 ```
+
 You can optionally choose the version of rkt used by setting `KUBE_RKT_VERSION`:
 
 ```shell
 $ export KUBE_RKT_VERSION=0.8.0
-
 ```
+
 Then you can launch the cluster by:
 
 ```shell
 $ kube-up.sh
-
 ```
+
 Note that we are still working on making all containerized the master components run smoothly in rkt. Before that we are not able to run the master node with rkt yet.
 
 ### CoreOS cluster on AWS
@@ -67,26 +67,26 @@ To use rkt as the container runtime for your CoreOS cluster on AWS, you need to
 $ export KUBERNETES_PROVIDER=aws
 $ export KUBE_OS_DISTRIBUTION=coreos
 $ export KUBE_CONTAINER_RUNTIME=rkt
-
 ```
+
 You can optionally choose the version of rkt used by setting `KUBE_RKT_VERSION`:
 
 ```shell
 $ export KUBE_RKT_VERSION=0.8.0
-
 ```
+
 You can optionally choose the CoreOS channel  by setting `COREOS_CHANNEL`:
 
 ```shell
 $ export COREOS_CHANNEL=stable
-
 ```
+
 Then you can launch the cluster by:
 
 ```shell
 $ kube-up.sh
-
 ```
+
 Note: CoreOS is not supported as the master using the automated launch
 scripts. The master node is always Ubuntu.
 
@@ -121,20 +121,18 @@ using `journalctl`:
 
 ```shell
 $ sudo journalctl -u $SERVICE_FILE
-
 ```
+
 where `$SERVICE_FILE` is the name of the service file created for the pod, you can find it in the kubelet logs.
 
 ##### Check the log of the container in the pod:
 
 ```shell
 $ sudo journalctl -M rkt-$UUID -u $CONTAINER_NAME
-
 ```
+
 where `$UUID` is the rkt pod's UUID, which you can find via `rkt list --full`, and `$CONTAINER_NAME` is the container's name.
 
 ##### Check Kubernetes events, logs.
 
-Besides above tricks, Kubernetes also provides us handy tools for debugging the pods. More information can be found [here](/{{page.version}}/docs/user-guide/application-troubleshooting)
+Besides above tricks, Kubernetes also provides us handy tools for debugging the pods. More information can be found [here](/{{page.version}}/docs/user-guide/application-troubleshooting).
-
-

v1.1/docs/getting-started-guides/rkt/index.md

@@ -26,14 +26,14 @@ set these flags:
 $ export CONTAINER_RUNTIME=rkt
 $ export RKT_PATH=$PATH_TO_RKT_BINARY
 $ export RKT_STAGE1_IMAGE=PATH=$PATH_TO_STAGE1_IMAGE
-
 ```
+
 Then we can launch the local cluster using the script:
 
 ```shell
 $ hack/local-up-cluster.sh
-
 ```
+
 ### CoreOS cluster on Google Compute Engine (GCE)
 
 To use rkt as the container runtime for your CoreOS cluster on GCE, you need to specify the OS distribution, project, image:
@@ -43,20 +43,20 @@ $ export KUBE_OS_DISTRIBUTION=coreos
 $ export KUBE_GCE_MINION_IMAGE=<image_id>
 $ export KUBE_GCE_MINION_PROJECT=coreos-cloud
 $ export KUBE_CONTAINER_RUNTIME=rkt
-
 ```
+
 You can optionally choose the version of rkt used by setting `KUBE_RKT_VERSION`:
 
 ```shell
 $ export KUBE_RKT_VERSION=0.8.0
-
 ```
+
 Then you can launch the cluster by:
 
 ```shell
 $ kube-up.sh
-
 ```
+
 Note that we are still working on making all containerized the master components run smoothly in rkt. Before that we are not able to run the master node with rkt yet.
 
 ### CoreOS cluster on AWS
@@ -67,26 +67,26 @@ To use rkt as the container runtime for your CoreOS cluster on AWS, you need to
 $ export KUBERNETES_PROVIDER=aws
 $ export KUBE_OS_DISTRIBUTION=coreos
 $ export KUBE_CONTAINER_RUNTIME=rkt
-
 ```
+
 You can optionally choose the version of rkt used by setting `KUBE_RKT_VERSION`:
 
 ```shell
 $ export KUBE_RKT_VERSION=0.8.0
-
 ```
+
 You can optionally choose the CoreOS channel  by setting `COREOS_CHANNEL`:
 
 ```shell
 $ export COREOS_CHANNEL=stable
-
 ```
+
 Then you can launch the cluster by:
 
 ```shell
 $ kube-up.sh
-
 ```
+
 Note: CoreOS is not supported as the master using the automated launch
 scripts. The master node is always Ubuntu.
 
@@ -121,20 +121,18 @@ using `journalctl`:
 
 ```shell
 $ sudo journalctl -u $SERVICE_FILE
-
 ```
+
 where `$SERVICE_FILE` is the name of the service file created for the pod, you can find it in the kubelet logs.
 
 ##### Check the log of the container in the pod:
 
 ```shell
 $ sudo journalctl -M rkt-$UUID -u $CONTAINER_NAME
-
 ```
+
 where `$UUID` is the rkt pod's UUID, which you can find via `rkt list --full`, and `$CONTAINER_NAME` is the container's name.
 
 ##### Check Kubernetes events, logs.
 
 Besides above tricks, Kubernetes also provides us handy tools for debugging the pods. More information can be found [here](/{{page.version}}/docs/user-guide/application-troubleshooting)
-
-

v1.1/docs/getting-started-guides/scratch.md

@@ -1,7 +1,6 @@
 ---
 title: "Creating a Custom Cluster From Scratch"
 ---
-
 This guide is for people who want to craft a custom Kubernetes cluster.  If you
 can find an existing Getting Started Guide that meets your needs on [this
 list](/{{page.version}}/docs/getting-started-guides/README/), then we recommend using it, as you will be able to benefit
@@ -14,8 +13,6 @@ pre-defined guides.
 This guide is also useful for those wanting to understand at a high level some of the
 steps that existing cluster setup scripts are making.
 
-
-
 {% include pagetoc.html %}
 
 ## Designing and Preparing
@@ -62,6 +59,7 @@ approach is to allocate a different block of IPs to each node in the cluster as
 the node is added.  A process in one pod should be able to communicate with
 another pod using the IP of the second pod.  This connectivity can be
 accomplished in two ways:
+
 - Configure network to route Pod IPs
   - Harder to setup from scratch.
   - Google Compute Engine ([GCE](gce)) and [AWS](aws) guides use this approach.
@@ -79,6 +77,7 @@ accomplished in two ways:
   - Reduced performance (exactly how much depends on your solution).
 
 You need to select an address range for the Pod IPs.
+
 - Various approaches:
   - GCE: each project has its own `10.0.0.0/8`.  Carve off a `/16` for each
     Kubernetes cluster from that space, which leaves room for several clusters.
@@ -114,6 +113,7 @@ Also, you need to pick a static IP for master node.
 
 You should pick a name for your cluster.  Pick a short name for each cluster
 which is unique from future cluster names. This will be used in several ways:
+
   - by kubectl to distinguish between various clusters you have access to.  You will probably want a
     second one sometime later, such as for testing new Kubernetes releases, running in a different
 region of the world, etc.
@@ -123,6 +123,7 @@ region of the world, etc.
 ### Software Binaries
 
 You will need binaries for:
+
   - etcd
   - A container runner, one of:
     - docker
@@ -152,6 +153,7 @@ you just need the bare binaries.  For etcd, kube-apiserver, kube-controller-mana
 we recommend that you run these as containers, so you need an image to be built.
 
 You have several choices for Kubernetes images:
+
 - Use images hosted on Google Container Registry (GCR):
   - e.g `gcr.io/google_containers/hyperkube:$TAG`, where `TAG` is the latest
     release tag, which can be found on the [latest releases page](https://github.com/kubernetes/kubernetes/releases/latest).
@@ -167,6 +169,7 @@ You have several choices for Kubernetes images:
     command like `docker images`
 
 For etcd, you can:
+
 - Use images hosted on Google Container Registry (GCR), such as `gcr.io/google_containers/etcd:2.0.12`
 - Use images hosted on [Docker Hub](https://hub.docker.com/search/?q=etcd) or [Quay.io](https://quay.io/repository/coreos/etcd), such as `quay.io/coreos/etcd:v2.2.0`
 - Use etcd binary included in your OS distro.
@@ -178,12 +181,14 @@ were tested extensively with this version of etcd and not with any other version
 The recommended version number can also be found as the value of `ETCD_VERSION` in `kubernetes/cluster/images/etcd/Makefile`.
 
 The remainder of the document assumes that the image identifiers have been chosen and stored in corresponding env vars.  Examples (replace with latest tags and appropriate registry):
+
   - `HYPERKUBE_IMAGE==gcr.io/google_containers/hyperkube:$TAG`
   - `ETCD_IMAGE=gcr.io/google_containers/etcd:$ETCD_VERSION`
 
 ### Security Models
 
 There are two main options for security:
+
 - Access the apiserver using HTTP.
   - Use a firewall for security.
   - This is easier to setup.
@@ -197,16 +202,19 @@ If following the HTTPS approach, you will need to prepare certs and credentials.
 #### Preparing Certs
 
 You need to prepare several certs:
+
 - The master needs a cert to act as an HTTPS server.
 - The kubelets optionally need certs to identify themselves as clients of the master, and when
   serving its own API over HTTPS.
 
-Unless you plan to have a real CA generate your certs, you will need to generate a root cert and use that to sign the master, kubelet, and kubectl certs.
+Unless you plan to have a real CA generate your certs, you will need to generate a root cert and use that to sign the master, kubelet, and kubectl certs:
-- see function `create-certs` in `cluster/gce/util.sh`
+
-- see also `cluster/saltbase/salt/generate-cert/make-ca-cert.sh` and
+- See function `create-certs` in `cluster/gce/util.sh`
+- See also `cluster/saltbase/salt/generate-cert/make-ca-cert.sh` and
   `cluster/saltbase/salt/generate-cert/make-cert.sh`
 
-You will end up with the following files (we will use these variables later on)
+You will end up with the following files (we will use these variables later on):
+
 - `CA_CERT`
   - put in on node where apiserver runs, in e.g. `/srv/kubernetes/ca.crt`.
 - `MASTER_CERT`
@@ -222,6 +230,7 @@ You will end up with the following files (we will use these variables later on)
 #### Preparing Credentials
 
 The admin user (and any users) need:
+
   - a token or a password to identify them.
   - tokens are just long alphanumeric strings, e.g. 32 chars.  See
     - `TOKEN=$(dd if=/dev/urandom bs=128 count=1 2>/dev/null | base64 | tr -d "=+/" | dd bs=32 count=1 2>/dev/null)`
@@ -234,6 +243,7 @@ For distributing credentials to clients, the convention in Kubernetes is to put
 into a [kubeconfig file](/{{page.version}}/docs/user-guide/kubeconfig-file).
 
 The kubeconfig file for the administrator can be created as follows:
+
  - If you have already used Kubernetes with a non-custom cluster (for example, used a Getting Started
    Guide), you will already have a `$HOME/.kube/config` file.
  - You need to add certs, keys, and the master IP to the kubeconfig file:
@@ -248,6 +258,7 @@ The kubeconfig file for the administrator can be created as follows:
 
 Next, make a kubeconfig file for the kubelets and kube-proxy.  There are a couple of options for how
 many distinct files to make:
+
   1. Use the same credential as the admin
     - This is simplest to setup.
   1. One token and kubeconfig file for all kubelets, one for all kube-proxy, one for admin.
@@ -276,6 +287,7 @@ contexts:
   name: service-account-context
 current-context: service-account-context
 ```
+
 Put the kubeconfig(s) on every node.  The examples later in this
 guide assume that there are kubeconfigs in `/var/lib/kube-proxy/kubeconfig` and
 `/var/lib/kubelet/kubeconfig`.
@@ -285,6 +297,7 @@ guide assume that there are kubeconfigs in `/var/lib/kube-proxy/kubeconfig` and
 This section discusses how to configure machines to be Kubernetes nodes.
 
 You should run three daemons on every node:
+
   - docker or rkt
   - kubelet
   - kube-proxy
@@ -309,8 +322,10 @@ iptables -t nat -F
 ifconfig docker0 down
 brctl delbr docker0
 ```
+
 The way you configure docker will depend in whether you have chosen the routable-vip or overlay-network approaches for your network.
 Some suggested docker options:
+
   - create your own bridge for the per-node CIDR ranges, call it cbr0, and set `--bridge=cbr0` option on docker.
   - set `--iptables=false` so docker will not manipulate iptables for host-ports (too coarse on older docker versions, may be fixed in newer versions)
 so that kube-proxy can manage iptables instead of docker.
@@ -325,6 +340,7 @@ so that kube-proxy can manage iptables instead of docker.
     - to connect to a private registry, if you set one up, without using SSL.
 
 You may want to increase the number of open files for docker:
+
    - `DOCKER_NOFILE=1000000`
 
 Where this config goes depends on your node OS.  For example, GCE's Debian-based distro uses `/etc/default/docker`.
@@ -346,6 +362,7 @@ for rkt networking support.  You can start rkt metadata service by using command
 `sudo systemd-run rkt metadata-service`
 
 Then you need to configure your kubelet with flag:
+
   - `--container-runtime=rkt`
 
 ### kubelet
@@ -353,6 +370,7 @@ Then you need to configure your kubelet with flag:
 All nodes should run kubelet.  See [Selecting Binaries](#selecting-binaries).
 
 Arguments to consider:
+
   - If following the HTTPS security approach:
     - `--api-servers=https://$MASTER_IP`
     - `--kubeconfig=/var/lib/kubelet/kubeconfig`
@@ -373,6 +391,7 @@ strictly required, but being consistent is easier.)   Obtain a binary as describ
 kubelet.
 
 Arguments to consider:
+
   - If following the HTTPS security approach:
     - `--api-servers=https://$MASTER_IP`
     - `--kubeconfig=/var/lib/kube-proxy/kubeconfig`
@@ -391,11 +410,14 @@ this `NODE_X_BRIDGE_ADDR`.  For example, if `NODE_X_POD_CIDR` is `10.0.0.0/16`,
 then `NODE_X_BRIDGE_ADDR` is `10.0.0.1/16`.  NOTE: this retains the `/16` suffix
 because of how this is used later.
 
-- Recommended, automatic approach:
+Recommended, automatic approach:
+
   1. Set `--configure-cbr0=true` option in kubelet init script and restart kubelet service.  Kubelet will configure cbr0 automatically.
      It will wait to do this until the node controller has set Node.Spec.PodCIDR.  Since you have not setup apiserver and node controller
      yet, the bridge will not be setup immediately.
-- Alternate, manual approach:
+
+Alternate, manual approach:
+
   1. Set `--configure-cbr0=false` on kubelet and restart.
   1. Create a bridge
   - e.g. `brctl addbr cbr0`.
@@ -413,6 +435,7 @@ the cluster network.  For example:
 ```shell
 iptables -w -t nat -A POSTROUTING -o eth0 -j MASQUERADE \! -d ${CLUSTER_SUBNET}
 ```
+
 This will rewrite the source address from
 the PodIP to the Node IP for traffic bound outside the cluster, and kernel
 [connection tracking](http://www.iptables.info/en/connection-state)
@@ -444,6 +467,7 @@ various Getting Started Guides.
 While the basic node services (kubelet, kube-proxy, docker) are typically started and managed using
 traditional system administration/automation approaches, the remaining *master* components of Kubernetes are
 all configured and managed *by Kubernetes*:
+
   - their options are specified in a Pod spec (yaml or json) rather than an /etc/init.d file or
     systemd unit.
   - they are kept running by Kubernetes rather than by init.
@@ -451,12 +475,14 @@ all configured and managed *by Kubernetes*:
 ### etcd
 
 You will need to run one or more instances of etcd.
+
   - Recommended approach: run one etcd instance, with its log written to a directory backed
     by durable storage (RAID, GCE PD)
   - Alternative: run 3 or 5 etcd instances.
     - Log can be written to non-durable storage because storage is replicated.
     - run a single apiserver which connects to one of the etc nodes.
- See [cluster-troubleshooting](/{{page.version}}/docs/admin/cluster-troubleshooting) for more discussion on factors affecting cluster
+
+See [cluster-troubleshooting](/{{page.version}}/docs/admin/cluster-troubleshooting) for more discussion on factors affecting cluster
 availability.
 
 To run an etcd instance:
@@ -552,6 +578,7 @@ For each of these components, the steps to start them running are similar:
   }
 }
 ```
+
 Here are some apiserver flags you may need to set:
 
 - `--cloud-provider=` see [cloud providers](#cloud-providers)
@@ -578,6 +605,7 @@ If you are using the HTTPS approach, then set:
 - `--basic-auth-file=/srv/kubernetes/basic_auth.csv`
 
 This pod mounts several node file system directories using the  `hostPath` volumes.  Their purposes are:
+
 - The `/etc/ssl` mount allows the apiserver to find the SSL root certs so it can
   authenticate external services, such as a cloud provider.
   - This is not required if you do not use a cloud provider (e.g. bare-metal).
@@ -644,8 +672,8 @@ Complete this template for the scheduler pod:
     ]
   }
 }
-
 ```
+
 Typically, no additional flags are required for the scheduler.
 
 Optionally, you may want to mount `/var/log` as well and redirect output there.
@@ -713,9 +741,10 @@ Template for controller manager pod:
     ]
   }
 }
-
 ```
+
 Flags to consider using with controller manager:
+
  - `--cluster-name=$CLUSTER_NAME`
  - `--cluster-cidr=`
    - *TODO*: explain this flag.
@@ -738,6 +767,7 @@ Use `ps` or `docker ps` to verify that each process has started.  For example, v
 $ sudo docker ps | grep apiserver:
 5783290746d5        gcr.io/google_containers/kube-apiserver:e36bf367342b5a80d7467fd7611ad873            "/bin/sh -c '/usr/lo'"    10 seconds ago      Up 9 seconds                              k8s_kube-apiserver.feb145e7_kube-apiserver-kubernetes-master_default_eaebc600cf80dae59902b44225f2fc0a_225a4695
 ```
+
 Then try to connect to the apiserver:
 
 ```shell
@@ -750,6 +780,7 @@ $ curl -s http://localhost:8080/api
   ]
 }
 ```
+
 If you have selected the `--register-node=true` option for kubelets, they will now begin self-registering with the apiserver.
 You should soon be able to see all your nodes by running the `kubectl get nodes` command.
 Otherwise, you will need to manually create node objects.

v1.1/docs/getting-started-guides/ubuntu-calico.md

@@ -8,6 +8,7 @@ This document describes how to deploy Kubernetes on Ubuntu bare metal nodes with
 This guide will set up a simple Kubernetes cluster with a master and two nodes. We will start the following processes with systemd:
 
 On the Master:
+
 - `etcd`
 - `kube-apiserver`
 - `kube-controller-manager`
@@ -15,6 +16,7 @@ On the Master:
 - `calico-node`
 
 On each Node:
+
 - `kube-proxy`
 - `kube-kubelet`
 - `calico-node`
@@ -31,34 +33,34 @@ On each Node:
 
 First, get the sample configurations for this tutorial
 
-```
+```shell
 wget https://github.com/Metaswitch/calico-kubernetes-ubuntu-demo/archive/master.tar.gz
 tar -xvf master.tar.gz
-
 ```
+
 ### Setup environment variables for systemd services on Master
 
 Many of the sample systemd services provided rely on environment variables on a per-node basis. Here we'll edit those environment variables and move them into place.
 
 1.) Copy the network-environment-template from the `master` directory for editing.
 
-```
+```shell
 cp calico-kubernetes-ubuntu-demo-master/master/network-environment-template network-environment
-
 ```
+
 2.) Edit `network-environment` to represent your current host's settings.
 
 3.) Move the `network-environment` into `/etc`
 
-```
+```shell
 sudo mv -f network-environment /etc
-
 ```
+
 ### Install Kubernetes on Master
 
 1.) Build & Install Kubernetes binaries
 
-```
+```shell
 # Get the Kubernetes Source
 wget https://github.com/kubernetes/kubernetes/releases/download/v1.0.3/kubernetes.tar.gz
 
@@ -70,32 +72,32 @@ kubernetes/cluster/ubuntu/build.sh
 # Add binaries to /usr/bin
 sudo cp -f binaries/master/* /usr/bin
 sudo cp -f binaries/kubectl /usr/bin
-
 ```
+
 2.) Install the sample systemd processes settings for launching kubernetes services
 
-```
+```shell
 sudo cp -f calico-kubernetes-ubuntu-demo-master/master/*.service /etc/systemd
 sudo systemctl enable /etc/systemd/etcd.service
 sudo systemctl enable /etc/systemd/kube-apiserver.service
 sudo systemctl enable /etc/systemd/kube-controller-manager.service
 sudo systemctl enable /etc/systemd/kube-scheduler.service
-
 ```
+
 3.) Launch the processes.
 
-```
+```shell
 sudo systemctl start etcd.service
 sudo systemctl start kube-apiserver.service
 sudo systemctl start kube-controller-manager.service
 sudo systemctl start kube-scheduler.service
-
 ```
+
 ### Install Calico on Master
 
 In order to allow the master to route to pods on our nodes, we will launch the calico-node daemon on our master. This will allow it to learn routes over BGP from the other calico-node daemons in the cluster. The docker daemon should already be running before calico is started.
 
-```
+```shell
 # Install the calicoctl binary, which will be used to launch calico
 wget https://github.com/projectcalico/calico-docker/releases/download/v0.5.5/calicoctl
 chmod +x calicoctl
@@ -105,9 +107,9 @@ sudo cp -f calicoctl /usr/bin
 sudo cp -f calico-kubernetes-ubuntu-demo-master/master/calico-node.service /etc/systemd
 sudo systemctl enable /etc/systemd/calico-node.service
 sudo systemctl start calico-node.service
-
 ```
->Note: calico-node may take a few minutes on first boot while it downloads the calico-node docker image.
+
+> Note: calico-node may take a few minutes on first boot while it downloads the calico-node docker image.
 
 ## Setup Nodes
 
@@ -117,42 +119,42 @@ Perform these steps **once on each node**, ensuring you appropriately set the en
 
 1.) Get the sample configurations for this tutorial
 
-```
+```shell
 wget https://github.com/Metaswitch/calico-kubernetes-ubuntu-demo/archive/master.tar.gz
 tar -xvf master.tar.gz
-
 ```
+
 2.) Copy the network-environment-template from the `node` directory
 
-```
+```shell
 cp calico-kubernetes-ubuntu-demo-master/node/network-environment-template network-environment
-
 ```
+
 3.) Edit `network-environment` to represent your current host's settings.
 
 4.) Move `network-environment` into `/etc`
 
-```
+```shell
 sudo mv -f network-environment /etc
-
 ```
+
 ### Configure Docker on the Node
 
 #### Create the veth
 
 Instead of using docker's default interface (docker0), we will configure a new one to use desired IP ranges
 
-```
+```shell
 sudo apt-get install -y bridge-utils
 sudo brctl addbr cbr0
 sudo ifconfig cbr0 up
 sudo ifconfig cbr0 <IP>/24
-
 ```
+
 > Replace \<IP\>  with the subnet for this host's containers. Example topology:
 
   Node  |   cbr0 IP
--------- | -------------
+------- | -------------
 node-1  | 192.168.1.1/24
 node-2  | 192.168.2.1/24
 node-X  | 192.168.X.1/24
@@ -167,16 +169,16 @@ The Docker daemon must be started and told to use the already configured cbr0 in
 
 3.) Reload systemctl and restart docker.
 
-```
+```shell
 sudo systemctl daemon-reload
 sudo systemctl restart docker
-
 ```
+
 ### Install Calico on the Node
 
 1.) Install Calico
 
-```
+```shell
 # Get the calicoctl binary
 wget https://github.com/projectcalico/calico-docker/releases/download/v0.5.5/calicoctl
 chmod +x calicoctl
@@ -186,22 +188,22 @@ sudo cp -f calicoctl /usr/bin
 sudo cp calico-kubernetes-ubuntu-demo-master/node/calico-node.service /etc/systemd
 sudo systemctl enable /etc/systemd/calico-node.service
 sudo systemctl start calico-node.service
-
 ```
+
 >The calico-node service will automatically get the kubernetes-calico plugin binary and install it on the host system.
 
 2.) Use calicoctl to add an IP pool. We must specify the IP and port that the master's etcd is listening on.
 **NOTE: This step only needs to be performed once per Kubernetes deployment, as it covers all the node's IP ranges.**
 
-```
+```shell
 ETCD_AUTHORITY=<MASTER_IP>:4001 calicoctl pool add 192.168.0.0/16
-
 ```
+
 ### Install Kubernetes on the Node
 
 1.) Build & Install Kubernetes binaries
 
-```
+```shell
 # Get the Kubernetes Source
 wget https://github.com/kubernetes/kubernetes/releases/download/v1.0.3/kubernetes.tar.gz
 
@@ -217,20 +219,20 @@ sudo cp -f binaries/minion/* /usr/bin
 wget https://github.com/projectcalico/calico-kubernetes/releases/download/v0.1.1/kube-proxy
 sudo cp kube-proxy /usr/bin/
 sudo chmod +x /usr/bin/kube-proxy
-
 ```
+
 2.) Install and launch the sample systemd processes settings for launching Kubernetes services
 
-```
+```shell
 sudo cp calico-kubernetes-ubuntu-demo-master/node/kube-proxy.service /etc/systemd/
 sudo cp calico-kubernetes-ubuntu-demo-master/node/kube-kubelet.service /etc/systemd/
 sudo systemctl enable /etc/systemd/kube-proxy.service
 sudo systemctl enable /etc/systemd/kube-kubelet.service
 sudo systemctl start kube-proxy.service
 sudo systemctl start kube-kubelet.service
-
 ```
->*You may want to consider checking their status after to ensure everything is running*
+
+> *You may want to consider checking their status after to ensure everything is running*
 
 ## Install the DNS Addon
 
@@ -253,23 +255,21 @@ With this sample configuration, because the containers have private `192.168.0.0
 The simplest method for enabling connectivity from containers to the internet is to use an iptables masquerade rule. This is the standard mechanism [recommended](/{{page.version}}/docs/admin/networking.html#google-compute-engine-gce) in the Kubernetes GCE environment.
 
 We need to NAT traffic that has a destination outside of the cluster. Internal traffic includes the master/nodes, and the container IP pools. A suitable masquerade chain would follow the pattern below, replacing the following variables:
+
 - `CONTAINER_SUBNET`: The cluster-wide subnet from which container IPs are chosen.  All cbr0 bridge subnets fall within this range. The above example uses `192.168.0.0/16`.
 - `KUBERNETES_HOST_SUBNET`: The subnet from which Kubernetes node / master IP addresses have been chosen.
 - `HOST_INTERFACE`: The interface on the Kubernetes node which is used for external connectivity.  The above example uses `eth0`
 
-```
+```shell
 sudo iptables -t nat -N KUBE-OUTBOUND-NAT
 sudo iptables -t nat -A KUBE-OUTBOUND-NAT -d <CONTAINER_SUBNET> -o <HOST_INTERFACE> -j RETURN
 sudo iptables -t nat -A KUBE-OUTBOUND-NAT -d <KUBERNETES_HOST_SUBNET> -o <HOST_INTERFACE> -j RETURN
 sudo iptables -t nat -A KUBE-OUTBOUND-NAT -j MASQUERADE
 sudo iptables -t nat -A POSTROUTING -j KUBE-OUTBOUND-NAT
-
 ```
+
 This chain should be applied on the master and all nodes. In production, these rules should be persisted, e.g. with `iptables-persistent`.
 
 ### NAT at the border router
 
 In a datacenter environment, it is recommended to configure Calico to peer with the border routers over BGP. This means that the container IPs will be routable anywhere in the datacenter, and so NAT is not needed on the nodes (though it may be enabled at the datacenter edge to allow outbound-only internet connectivity).
-
-
-

v1.1/docs/getting-started-guides/ubuntu.md

@@ -1,9 +1,6 @@
 ---
 title: "Kubernetes Deployment On Bare-metal Ubuntu Nodes"
 ---
-
-## Introduction
-
 This document describes how to deploy kubernetes on ubuntu nodes, 1 master and 3 nodes involved
 in the given examples. You can scale to **any number of nodes** by changing some settings with ease.
 The original idea was heavily inspired by @jainvipin 's ubuntu single node
@@ -11,7 +8,6 @@ work, which has been merge into this document.
 
 [Cloud team from Zhejiang University](https://github.com/ZJU-SEL) will maintain this work.
 
-
 {% include pagetoc.html %}
 
 ## Prerequisites
@@ -32,15 +28,15 @@ First clone the kubernetes github repo
 
 ```shell
 $ git clone https://github.com/kubernetes/kubernetes.git
-
 ```
+
 Then download all the needed binaries into given directory (cluster/ubuntu/binaries)
 
 ```shell
 $ cd kubernetes/cluster/ubuntu
 $ ./build.sh
-
 ```
+
 You can customize your etcd version, flannel version, k8s version by changing corresponding variables
 `ETCD_VERSION` , `FLANNEL_VERSION` and `KUBE_VERSION` in build.sh, by default etcd version is 2.0.12,
 flannel version is 0.4.0 and k8s version is 1.0.3.
@@ -73,8 +69,8 @@ export NUM_MINIONS=${NUM_MINIONS:-3}
 export SERVICE_CLUSTER_IP_RANGE=192.168.3.0/24
 
 export FLANNEL_NET=172.16.0.0/16
-
 ```
+
 The first variable `nodes` defines all your cluster nodes, MASTER node comes first and
 separated with blank space like `<user_1@ip_1> <user_2@ip_2> <user_3@ip_3> `
 
@@ -88,22 +84,28 @@ that you do have a valid private ip range defined here, because some IaaS provid
 You can use below three private network range according to rfc1918. Besides you'd better not choose the one
 that conflicts with your own private network range.
 
-     10.0.0.0        -   10.255.255.255  (10/8 prefix)
+```shell
+10.0.0.0        -   10.255.255.255  (10/8 prefix)
 
-     172.16.0.0      -   172.31.255.255  (172.16/12 prefix)
+172.16.0.0      -   172.31.255.255  (172.16/12 prefix)
 
-     192.168.0.0     -   192.168.255.255 (192.168/16 prefix)
+192.168.0.0     -   192.168.255.255 (192.168/16 prefix)
+```
 
 The `FLANNEL_NET` variable defines the IP range used for flannel overlay network,
 should not conflict with above `SERVICE_CLUSTER_IP_RANGE`.
 
 **Note:** When deploying, master needs to connect the Internet to download the necessary files. If your machines locate in a private network that need proxy setting to connect the Internet, you can set the config `PROXY_SETTING` in cluster/ubuntu/config-default.sh such as:
 
-     PROXY_SETTING="http_proxy=http://server:port https_proxy=https://server:port"
+```shell
+PROXY_SETTING="http_proxy=http://server:port https_proxy=https://server:port"
+```
 
 After all the above variables being set correctly, we can use following command in cluster/ directory to bring up the whole cluster.
 
-`$ KUBERNETES_PROVIDER=ubuntu ./kube-up.sh`
+```shell
+KUBERNETES_PROVIDER=ubuntu ./kube-up.sh
+```
 
 The scripts automatically scp binaries and config files to all the machines and start the k8s service on them.
 The only thing you need to do is to type the sudo password when promoted.
@@ -112,14 +114,14 @@ The only thing you need to do is to type the sudo password when promoted.
 Deploying minion on machine 10.10.103.223
 ...
 [sudo] password to copy files and start minion: 
-
 ```
+
 If all things goes right, you will see the below message from console indicating the k8s is up.
 
 ```shell
 Cluster validation succeeded
-
 ```
+
 ### Test it out
 
 You can use `kubectl` command to check if the newly created k8s is working correctly.
@@ -134,8 +136,8 @@ NAME            LABELS                                 STATUS
 10.10.103.162   kubernetes.io/hostname=10.10.103.162   Ready
 10.10.103.223   kubernetes.io/hostname=10.10.103.223   Ready
 10.10.103.250   kubernetes.io/hostname=10.10.103.250   Ready
-
 ```
+
 Also you can run Kubernetes [guest-example](https://github.com/kubernetes/kubernetes/tree/master/examples/guestbook/) to build a redis backend cluster on the k8s．
 
 
@@ -154,8 +156,8 @@ DNS_SERVER_IP="192.168.3.10"
 DNS_DOMAIN="cluster.local"
 
 DNS_REPLICAS=1
-
 ```
+
 The `DNS_SERVER_IP` is defining the ip of dns server which must be in the `SERVICE_CLUSTER_IP_RANGE`.
 The `DNS_REPLICAS` describes how many dns pod running in the cluster.
 
@@ -163,15 +165,15 @@ By default, we also take care of kube-ui addon.
 
 ```shell
 ENABLE_CLUSTER_UI="${KUBE_ENABLE_CLUSTER_UI:-true}"
-
 ```
+
 After all the above variables have been set, just type the following command.
 
 ```shell
 $ cd cluster/ubuntu
 $ KUBERNETES_PROVIDER=ubuntu ./deployAddons.sh
-
 ```
+
 After some time, you can use `$ kubectl get pods --namespace=kube-system` to see the DNS and UI pods are running in the cluster.
 
 ### On going
@@ -197,17 +199,18 @@ Please try:
 1. Check `/var/log/upstart/etcd.log` for suspicious etcd log
 2. Check `/etc/default/etcd`, as we do not have much input validation, a right config should be like:
 
-	```sh
+```shell
-	ETCD_OPTS="-name infra1 -initial-advertise-peer-urls <http://ip_of_this_node:2380> -listen-peer-urls <http://ip_of_this_node:2380> -initial-cluster-token etcd-cluster-1 -initial-cluster infra1=<http://ip_of_this_node:2380>,infra2=<http://ip_of_another_node:2380>,infra3=<http://ip_of_another_node:2380> -initial-cluster-state new"
+ETCD_OPTS="-name infra1 -initial-advertise-peer-urls <http://ip_of_this_node:2380> -listen-peer-urls <http://ip_of_this_node:2380> -initial-cluster-token etcd-cluster-1 -initial-cluster infra1=<http://ip_of_this_node:2380>,infra2=<http://ip_of_another_node:2380>,infra3=<http://ip_of_another_node:2380> -initial-cluster-state new"
-	```
+```
+
 3. You may find following commands useful, the former one to bring down the cluster, while
 the latter one could start it again.
 
 ```shell
-$ KUBERNETES_PROVIDER=ubuntu ./kube-down.sh
+KUBERNETES_PROVIDER=ubuntu ./kube-down.sh
-    $ KUBERNETES_PROVIDER=ubuntu ./kube-up.sh
+KUBERNETES_PROVIDER=ubuntu ./kube-up.sh
-
 ```
+
 4. You can also customize your own settings in `/etc/default/{component_name}`.
 
 
@@ -217,9 +220,9 @@ If you already have a kubernetes cluster, and want to upgrade to a new version,
 you can use following command in cluster/ directory to update the whole cluster or a specified node to a new version.
 
 ```shell
-$ KUBERNETES_PROVIDER=ubuntu ./kube-push.sh [-m|-n <node id>] <version>
+KUBERNETES_PROVIDER=ubuntu ./kube-push.sh [-m|-n <node id>] <version>
-
 ```
+
 It can be done for all components (by default), master(`-m`) or specified node(`-n`).
 If the version is not specified, the script will try to use local binaries.You should ensure all the binaries are well prepared in path `cluster/ubuntu/binaries`.
 
@@ -238,14 +241,14 @@ binaries/
     '��'��'�� flanneld
     '��'��'�� kubelet
     '��'��'�� kube-proxy
-
 ```
+
 Upgrading single node is experimental now. You can use following command to get a help.
 
 ```shell
-$ KUBERNETES_PROVIDER=ubuntu ./kube-push.sh -h
+KUBERNETES_PROVIDER=ubuntu ./kube-push.sh -h
-
 ```
+
 Some examples are as follows:
 
 * upgrade master to version 1.0.5: `$ KUBERNETES_PROVIDER=ubuntu ./kube-push.sh -m 1.0.5`
@@ -254,4 +257,4 @@ Some examples are as follows:
 
 The script will not delete any resources of your cluster, it just replaces the binaries.
 You can use `kubectl` command to check if the newly upgraded k8s is working correctly.
-For example, use `$ kubectl get nodes` to see if all of your nodes are ready.Or refer to [test-it-out](ubuntu.html#test-it-out)
+For example, use `$ kubectl get nodes` to see if all of your nodes are ready.Or refer to [test-it-out](ubuntu/#test-it-out)

v1.1/docs/getting-started-guides/vagrant.md

@@ -1,11 +1,8 @@
 ---
 title: "Getting started with Vagrant"
 ---
-
 Running Kubernetes with Vagrant (and VirtualBox) is an easy way to run/test/develop on your local machine (Linux, Mac OS X).
 
-
-
 {% include pagetoc.html %}
 
 ### Prerequisites
@@ -26,6 +23,7 @@ Setting up a cluster is as simple as running:
 export KUBERNETES_PROVIDER=vagrant
 curl -sS https://get.k8s.io | bash
 ```
+
 Alternatively, you can download [Kubernetes release](https://github.com/kubernetes/kubernetes/releases) and extract the archive. To start your local cluster, open a shell and run:
 
 ```shell
@@ -34,6 +32,7 @@ cd kubernetes
 export KUBERNETES_PROVIDER=vagrant
 ./cluster/kube-up.sh
 ```
+
 The `KUBERNETES_PROVIDER` environment variable tells all of the various cluster management scripts which variant to use.  If you forget to set this, the assumption is you are running on Google Compute Engine.
 
 By default, the Vagrant setup will create a single master VM (called kubernetes-master) and one node (called kubernetes-minion-1). Each VM will take 1 GB, so make sure you have at least 2GB to 4GB of free memory (plus appropriate free disk space).
@@ -47,6 +46,7 @@ export VAGRANT_DEFAULT_PROVIDER=parallels
 export KUBERNETES_PROVIDER=vagrant
 ./cluster/kube-up.sh
 ```
+
 By default, each VM in the cluster is running Fedora.
 
 To access the master or any node:
@@ -55,12 +55,14 @@ To access the master or any node:
 vagrant ssh master
 vagrant ssh minion-1
 ```
+
 If you are running more than one node, you can access the others by:
 
 ```shell
 vagrant ssh minion-2
 vagrant ssh minion-3
 ```
+
 Each node in the cluster installs the docker daemon and the kubelet.
 
 The master node instantiates the Kubernetes master components as pods on the machine.
@@ -81,6 +83,7 @@ To view the service status and/or logs on the kubernetes-master:
 [root@kubernetes-master ~] $ tail -f /var/log/kube-controller-manager.log
 [root@kubernetes-master ~] $ tail -f /var/log/kube-scheduler.log
 ```
+
 To view the services on any of the nodes:
 
 ```shell
@@ -93,6 +96,7 @@ To view the services on any of the nodes:
 [root@kubernetes-master ~] $ systemctl status docker
 [root@kubernetes-master ~] $ journalctl -ru docker
 ```
+
 ### Interacting with your Kubernetes cluster with Vagrant.
 
 With your Kubernetes cluster up, you can manage the nodes in your cluster with the regular Vagrant commands.
@@ -102,17 +106,20 @@ To push updates to new Kubernetes code after making source changes:
 ```shell
 ./cluster/kube-push.sh
 ```
+
 To stop and then restart the cluster:
 
 ```shell
 vagrant halt
 ./cluster/kube-up.sh
 ```
+
 To destroy the cluster:
 
 ```shell
 vagrant destroy
 ```
+
 Once your Vagrant machines are up and provisioned, the first thing to do is to check that you can use the `kubectl.sh` script.
 
 You may need to build the binaries first, you can do this with `make`
@@ -125,6 +132,7 @@ NAME                LABELS
 10.245.1.5          <none>
 10.245.1.3          <none>
 ```
+
 ### Authenticating with your master
 
 When using the vagrant provider in Kubernetes, the `cluster/kubectl.sh` script will cache your credentials in a `~/.kubernetes_vagrant_auth` file so you will not be prompted for them in the future.
@@ -132,6 +140,7 @@ When using the vagrant provider in Kubernetes, the `cluster/kubectl.sh` script w
 ```shell
 cat ~/.kubernetes_vagrant_auth
 ```
+
 ```json
 { "User": "vagrant",
   "Password": "vagrant",
@@ -140,11 +149,13 @@ cat ~/.kubernetes_vagrant_auth
   "KeyFile": "/home/k8s_user/.kubecfg.vagrant.key"
 }
 ```
+
 You should now be set to use the `cluster/kubectl.sh` script. For example try to list the nodes that you have started with:
 
 ```shell
 ./cluster/kubectl.sh get nodes
 ```
+
 ### Running containers
 
 Your cluster is running, you can list the nodes in your cluster:
@@ -157,6 +168,7 @@ NAME                 LABELS
 10.245.2.3           <none>
 10.245.2.2           <none>
 ```
+
 Now start running some containers!
 
 You can now use any of the `cluster/kube-*.sh` commands to interact with your VM machines.
@@ -172,11 +184,13 @@ NAME              CLUSTER_IP       EXTERNAL_IP       PORT(S)       SELECTOR
 $ ./cluster/kubectl.sh get replicationcontrollers
 CONTROLLER   CONTAINER(S)   IMAGE(S)   SELECTOR   REPLICAS
 ```
+
 Start a container running nginx with a replication controller and three replicas
 
 ```shell
 $ ./cluster/kubectl.sh run my-nginx --image=nginx --replicas=3 --port=80
 ```
+
 When listing the pods, you will see that three containers have been started and are in Waiting state:
 
 ```shell
@@ -186,6 +200,7 @@ my-nginx-5kq0g   0/1       Pending   0          10s
 my-nginx-gr3hh   0/1       Pending   0          10s
 my-nginx-xql4j   0/1       Pending   0          10s
 ```
+
 You need to wait for the provisioning to complete, you can monitor the nodes by doing:
 
 ```shell
@@ -196,6 +211,7 @@ kubernetes-minion-1:
     google/cadvisor     latest              e0575e677c50        13 days ago         12.64 MB
     kubernetes/pause    latest              6c4579af347b        8 weeks ago         239.8 kB
 ```
+
 Once the docker image for nginx has been downloaded, the container will start and you can list it:
 
 ```shell
@@ -207,6 +223,7 @@ kubernetes-minion-1:
     aa2ee3ed844a        google/cadvisor:latest    "/usr/bin/cadvisor"    38 minutes ago      Up 38 minutes                                k8s--cadvisor.9e90d182--cadvisor_-_agent.file--4626b3a2
     65a3a926f357        kubernetes/pause:latest   "/pause"               39 minutes ago      Up 39 minutes       0.0.0.0:4194->8080/tcp   k8s--net.c5ba7f0e--cadvisor_-_agent.file--342fd561
 ```
+
 Going back to listing the pods, services and replicationcontrollers, you now have:
 
 ```shell
@@ -220,6 +237,7 @@ $ ./cluster/kubectl.sh get services
 NAME              CLUSTER_IP       EXTERNAL_IP       PORT(S)       SELECTOR               AGE
 my-nginx          10.0.0.1         <none>            80/TCP        run=my-nginx           1h
 ```
+
 We did not start any services, hence there are none listed. But we see three replicas displayed properly.
 Check the [guestbook](https://github.com/kubernetes/kubernetes/tree/master/examples/guestbook/README) application to learn how to create a service.
 You can already play with scaling the replicas with:
@@ -231,6 +249,7 @@ NAME             READY     STATUS    RESTARTS   AGE
 my-nginx-5kq0g   1/1       Running   0          2m
 my-nginx-gr3hh   1/1       Running   0          2m
 ```
+
 Congratulations!
 
 ### Troubleshooting
@@ -245,6 +264,7 @@ export KUBERNETES_BOX_URL=path_of_your_kuber_box
 export KUBERNETES_PROVIDER=vagrant
 ./cluster/kube-up.sh
 ```
+
 #### I just created the cluster, but I am getting authorization errors!
 
 You probably have an incorrect ~/.kubernetes_vagrant_auth file for the cluster you are attempting to contact.
@@ -252,17 +272,20 @@ You probably have an incorrect ~/.kubernetes_vagrant_auth file for the cluster y
 ```shell
 rm ~/.kubernetes_vagrant_auth
 ```
+
 After using kubectl.sh make sure that the correct credentials are set:
 
 ```shell
 cat ~/.kubernetes_vagrant_auth
 ```
+
 ```json
 {
   "User": "vagrant",
   "Password": "vagrant"
 }
 ```
+
 #### I just created the cluster, but I do not see my container running!
 
 If this is your first time creating the cluster, the kubelet on each node schedules a number of docker pull requests to fetch prerequisite images.  This can take some time and as a result may delay your initial pod getting provisioned.
@@ -282,6 +305,7 @@ You can control the number of nodes that are instantiated via the environment va
 ```shell
 export NUM_MINIONS=1
 ```
+
 #### I want my VMs to have more memory!
 
 You can control the memory allotted to virtual machines with the `KUBERNETES_MEMORY` environment variable.
@@ -290,12 +314,14 @@ Just set it to the number of megabytes you would like the machines to have. For
 ```shell
 export KUBERNETES_MEMORY=2048
 ```
+
 If you need more granular control, you can set the amount of memory for the master and nodes independently. For example:
 
 ```shell
 export KUBERNETES_MASTER_MEMORY=1536
 export KUBERNETES_MINION_MEMORY=2048
 ```
+
 #### I ran vagrant suspend and nothing works!
 
 `vagrant suspend` seems to mess up the network.  This is not supported at this time.

v1.1/docs/getting-started-guides/vsphere.md

@@ -6,8 +6,6 @@ Machines and a master Virtual Machine (i.e. 5 VMs in your cluster). This
 cluster is set up and controlled from your workstation (or wherever you find
 convenient).
 
-
-
 {% include pagetoc.html %}
 
 ### Prerequisites
@@ -21,11 +19,13 @@ export GOPATH=$HOME/src/go
    mkdir -p $GOPATH
    export PATH=$PATH:$GOPATH/bin
 ```
+
 4. Install the govc tool to interact with ESXi/vCenter:
 
 ```shell
 go get github.com/vmware/govmomi/govc
 ```
+
 5. Get or build a [binary release](binary_release)
 
 ### Setup
@@ -37,6 +37,7 @@ curl --remote-name-all https://storage.googleapis.com/govmomi/vmdk/2014-11-11/ku
 md5sum -c kube.vmdk.gz.md5
 gzip -d kube.vmdk.gz
 ```
+
 Import this VMDK into your vSphere datastore:
 
 ```shell
@@ -47,11 +48,13 @@ export GOVC_RESOURCE_POOL='resource pool or cluster with access to datastore'
 
 govc import.vmdk kube.vmdk ./kube/
 ```
+
 Verify that the VMDK was correctly uploaded and expanded to ~3GiB:
 
 ```shell
 govc datastore.ls ./kube/
 ```
+
 Take a look at the file `cluster/vsphere/config-common.sh` fill in the required
 parameters. The guest login for the image that you imported is `kube:kube`.
 
@@ -65,6 +68,7 @@ cd kubernetes # Extracted binary release OR repository root
 export KUBERNETES_PROVIDER=vsphere
 cluster/kube-up.sh
 ```
+
 Refer to the top level README and the getting started guide for Google Compute
 Engine. Once you have successfully reached this point, your vSphere Kubernetes
 deployment works just as any other one!

v1.1/docs/troubleshooting.md

@@ -2,6 +2,7 @@
 title: "Troubleshooting"
 ---
 Sometimes things go wrong.  This guide is aimed at making them right.  It has two sections:
+
    * [Troubleshooting your application](user-guide/application-troubleshooting) - Useful for users who are deploying code into Kubernetes and wondering why it is not working.
    * [Troubleshooting your cluster](admin/cluster-troubleshooting) - Useful for cluster administrators and people whose Kubernetes cluster is unhappy.
 
@@ -16,11 +17,13 @@ If your problem isn't answered by any of the guides above, there are variety of
 If you aren't familiar with it, many of your questions may be answered by the [user guide](user-guide/README).
 
 We also have a number of FAQ pages:
+
    * [User FAQ](https://github.com/kubernetes/kubernetes/wiki/User-FAQ)
    * [Debugging FAQ](https://github.com/kubernetes/kubernetes/wiki/Debugging-FAQ)
    * [Services FAQ](https://github.com/kubernetes/kubernetes/wiki/Services-FAQ)
 
 You may also find the Stack Overflow topics relevant:
+
    * [Kubernetes](http://stackoverflow.com/questions/tagged/kubernetes)
    * [Google Container Engine - GKE](http://stackoverflow.com/questions/tagged/google-container-engine)
 
@@ -45,6 +48,7 @@ If you have what looks like a bug, or you would like to make a feature request,
 Before you file an issue, please search existing issues to see if your issue is already covered.
 
 If filing a bug, please include detailed information about how to reproduce the problem, such as:
+
 * Kubernetes version: `kubectl version`
 * Cloud provider, OS distro, network configuration, and Docker version
 * Steps to reproduce the problem

v1.1/docs/user-guide/accessing-the-cluster.md

@@ -1,9 +1,6 @@
 ---
 title: "Accessing Clusters"
 ---
-
-
-
 {% include pagetoc.html %}
 
 ## Accessing the cluster API
@@ -23,6 +20,7 @@ Check the location and credentials that kubectl knows about with this command:
 ```shell
 $ kubectl config view
 ```
+
 Many of the [examples](https://github.com/kubernetes/kubernetes/tree/master/examples/) provide an introduction to using
 kubectl and complete documentation is found in the [kubectl manual](kubectl/kubectl).
 
@@ -31,6 +29,7 @@ kubectl and complete documentation is found in the [kubectl manual](kubectl/kube
 Kubectl handles locating and authenticating to the apiserver.
 If you want to directly access the REST API with an http client like
 curl or wget, or a browser, there are several ways to locate and authenticate:
+
   - Run kubectl in proxy mode.
     - Recommended approach.
     - Uses stored apiserver location.
@@ -51,6 +50,7 @@ Run it like this:
 ```shell
 $ kubectl proxy --port=8080 &
 ```
+
 See [kubectl proxy](kubectl/kubectl_proxy) for more details.
 
 Then you can explore the API with curl, wget, or a browser, like so:
@@ -63,6 +63,7 @@ $ curl http://localhost:8080/api/
   ]
 }
 ```
+
 #### Without kubectl proxy
 
 It is also possible to avoid using kubectl proxy by passing an authentication token
@@ -78,6 +79,7 @@ $ curl $APISERVER/api --header "Authorization: Bearer $TOKEN" --insecure
   ]
 }
 ```
+
 The above example uses the `--insecure` flag.  This leaves it subject to MITM
 attacks.  When kubectl accesses the cluster it uses a stored root certificate
 and client certificates to access the server.  (These are installed in the
@@ -117,6 +119,7 @@ service account is placed into the filesystem tree of each container in that pod
 at `/var/run/secrets/kubernetes.io/serviceaccount/token`.
 
 From within a pod the recommended ways to connect to API are:
+
   - run a kubectl proxy as one of the containers in the pod, or as a background
     process within a container.  This proxies the
     Kubernetes API to the localhost interface of the pod, so that other processes
@@ -124,6 +127,7 @@ From within a pod the recommended ways to connect to API are:
     in a pod](https://github.com/kubernetes/kubernetes/tree/master/examples/kubectl-container/).
   - use the Go client library, and create a client using the `client.NewInCluster()` factory.
     This handles locating and authenticating to the apiserver.
+
 In each case, the credentials of the pod are used to communicate securely with the apiserver.
 
 
@@ -139,6 +143,7 @@ such as your desktop machine.
 ### Ways to connect
 
 You have several options for connecting to nodes, pods and services from outside the cluster:
+
   - Access services through public IPs.
     - Use a service with type `NodePort` or `LoadBalancer` to make the service reachable outside
       the cluster.  See the [services](services) and
@@ -179,6 +184,7 @@ $ kubectl cluster-info
   grafana is running at https://104.197.5.247/api/v1/proxy/namespaces/kube-system/services/monitoring-grafana
   heapster is running at https://104.197.5.247/api/v1/proxy/namespaces/kube-system/services/monitoring-heapster
 ```
+
 This shows the proxy-verb URL for accessing each service.
 For example, this cluster has cluster-level logging enabled (using Elasticsearch), which can be reached
 at `https://104.197.5.247/api/v1/proxy/namespaces/kube-system/services/elasticsearch-logging/` if suitable credentials are passed, or through a kubectl proxy at, for example:
@@ -211,9 +217,11 @@ about namespaces? 'proxy' verb? -->
 	 "unassigned_shards" : 5
   }
 ```
+
 #### Using web browsers to access services running on the cluster
 
 You may be able to put an apiserver proxy url into the address bar of a browser. However:
+
   - Web browsers cannot usually pass tokens, so you may need to use basic (password) auth.  Apiserver can be configured to accept basic auth,
     but your cluster may not be configured to accept basic auth.
   - Some web apps may not work, particularly those with client side javascript that construct urls in a
@@ -226,6 +234,7 @@ The redirect capabilities have been deprecated and removed.  Please use a proxy
 ## So Many Proxies
 
 There are several different proxies you may encounter when using Kubernetes:
+
   1. The [kubectl proxy](#directly-accessing-the-rest-api):
     - runs on a user's desktop or in a pod
     - proxies from a localhost address to the Kubernetes apiserver
@@ -257,7 +266,5 @@ There are several different proxies you may encounter when using Kubernetes:
     - use UDP/TCP only
     - implementation varies by cloud provider.
 
-
-
 Kubernetes users will typically not need to worry about anything other than the first two types.  The cluster admin
 will typically ensure that the latter types are setup correctly.

v1.1/docs/user-guide/annotations.md

@@ -12,8 +12,8 @@ Like labels, annotations are key-value maps.
   "key1" : "value1",
   "key2" : "value2"
 }
-
 ```
+
 Possible information that could be recorded in annotations:
 
 * fields managed by a declarative configuration layer, to distinguish them from client- and/or server-set default values and other auto-generated fields, fields set by auto-sizing/auto-scaling systems, etc., in order to facilitate merging
@@ -25,6 +25,3 @@ Possible information that could be recorded in annotations:
 * phone/pager number(s) of person(s) responsible, or directory entry where that info could be found, such as a team website
 
 Yes, this information could be stored in an external database or directory, but that would make it much harder to produce shared client libraries and tools for deployment, management, introspection, etc.
-
-
-

v1.1/docs/user-guide/application-troubleshooting.md

@@ -15,6 +15,7 @@ Users are highly encouraged to check out our [FAQ](https://github.com/kubernetes
 
 The first step in troubleshooting is triage.  What is the problem?  Is it your Pods, your Replication Controller or
 your Service?
+
    * [Debugging Pods](#debugging-pods)
    * [Debugging Replication Controllers](#debugging-replication-controllers)
    * [Debugging Services](#debugging-services)
@@ -25,8 +26,8 @@ The first step in debugging a Pod is taking a look at it.  Check the current sta
 
 ```shell
 $ kubectl describe pods ${POD_NAME}
-
 ```
+
 Look at the state of the containers in the pod.  Are they all `Running`?  Have there been recent restarts?
 
 Continue debugging depending on the state of the pods.
@@ -50,6 +51,7 @@ scheduled.  In most cases, `hostPort` is unnecessary, try using a Service object
 
 If a Pod is stuck in the `Waiting` state, then it has been scheduled to a worker node, but it can't run on that machine.
 Again, the information from `kubectl describe ...` should be informative.  The most common cause of `Waiting` pods is a failure to pull the image.  There are three things to check:
+
 * Make sure that you have the name of the image correct
 * Have you pushed the image to the repository?
 * Run a manual `docker pull <image>` on your machine to see if the image can be pulled.
@@ -61,28 +63,28 @@ the current container:
 
 ```shell
 $ kubectl logs ${POD_NAME} ${CONTAINER_NAME}
-
 ```
+
 If your container has previously crashed, you can access the previous container's crash log with:
 
 ```shell
 $ kubectl logs --previous ${POD_NAME} ${CONTAINER_NAME}
-
 ```
+
 Alternately, you can run commands inside that container with `exec`:
 
 ```shell
 $ kubectl exec ${POD_NAME} -c ${CONTAINER_NAME} -- ${CMD} ${ARG1} ${ARG2} ... ${ARGN}
-
 ```
+
 Note that `-c ${CONTAINER_NAME}` is optional and can be omitted for Pods that only contain a single container.
 
 As an example, to look at the logs from a running Cassandra pod, you might run
 
 ```shell
 $ kubectl exec cassandra -- cat /var/log/cassandra/system.log
-
 ```
+
 If none of these approaches work, you can find the host machine that the pod is running on and SSH into that host,
 but this should generally not be necessary given tools in the Kubernetes API. Therefore, if you find yourself needing to ssh into a machine, please file a
 feature request on GitHub describing your use case and why these tools are insufficient.
@@ -100,12 +102,12 @@ The first thing to do is to delete your pod and try creating it again with the `
 For example, run `kubectl create --validate -f mypod.yaml`.
 If you misspelled `command` as `commnd` then  will give an error like this:
 
-```
+```shell
 I0805 10:43:25.129850   46757 schema.go:126] unknown field: commnd
 I0805 10:43:25.129973   46757 schema.go:129] this may be a false alarm, see https://github.com/kubernetes/kubernetes/issues/6842
 pods/mypod
-
 ```
+
 <!-- TODO: Now that #11914 is merged, this advice may need to be updated -->
 
 The next thing to check is whether the pod on the apiserver
@@ -136,8 +138,8 @@ You can view this resource with:
 
 ```shell
 $ kubectl get endpoints ${SERVICE_NAME}
-
 ```
+
 Make sure that the endpoints match up with the number of containers that you expect to be a member of your service.
 For example, if your Service is for an nginx container with 3 replicas, you would expect to see three different
 IP addresses in the Service's endpoints.
@@ -153,14 +155,14 @@ spec:
   - selector:
      name: nginx
      type: frontend
-
 ```
+
 You can use:
 
 ```shell
 $ kubectl get pods --selector=name=nginx,type=frontend
-
 ```
+
 to list pods that match this selector.  Verify that the list matches the Pods that you expect to provide your Service.
 
 If the list of pods matches expectations, but your endpoints are still empty, it's possible that you don't
@@ -176,6 +178,7 @@ in the endpoints list, it's likely that the proxy can't contact your pods.
 
 There are three things to
 check:
+
    * Are your pods working correctly?  Look for restart count, and [debug pods](#debugging-pods)
    * Can you connect to your pods directly?  Get the IP address for the Pod, and try to connect directly to that IP
    * Is your application serving on the port that you configured?  Kubernetes doesn't do port remapping, so if your application serves on 8080, the `containerPort` field needs to be 8080.
@@ -185,6 +188,3 @@ check:
 If none of the above solves your problem, follow the instructions in [Debugging Service document](debugging-services) to make sure that your `Service` is running, has `Endpoints`, and your `Pods` are actually serving; you have DNS working, iptables rules installed, and kube-proxy does not seem to be misbehaving.
 
 You may also visit [troubleshooting document](../troubleshooting) for more information.
-
-
-

v1.1/docs/user-guide/compute-resources.md

@@ -66,8 +66,8 @@ spec:
       limits:
         memory: "128Mi"
         cpu: "500m"
-
 ```
+
 ## How Pods with Resource Requests are Scheduled
 
 When a pod is created, the Kubernetes scheduler selects a node for the pod to
@@ -86,6 +86,7 @@ When kubelet starts a container of a pod, it passes the CPU and memory limits to
 runner (Docker or rkt).
 
 When using Docker:
+
 - The `spec.container[].resources.limits.cpu` is multiplied by 1024, converted to an integer, and
   used as the value of the [`--cpu-shares`](
   https://docs.docker.com/reference/run/#runtime-constraints-on-resources) flag to the `docker run`
@@ -125,13 +126,13 @@ $ kubectl describe pod frontend | grep -A 3 Events
 Events:
   FirstSeen	LastSeen	 Count	From          Subobject   PathReason			Message
   36s		5s		 6	    {scheduler }              FailedScheduling	Failed for reason PodExceedsFreeCPU and possibly others
-
-
 ```
+
 In the case shown above, the pod "frontend" fails to be scheduled due to insufficient
 CPU resource on the node. Similar error messages can also suggest failure due to insufficient
 memory (PodExceedsFreeMemory). In general, if a pod or pods are pending with this message and
 alike, then there are several things to try:
+
 - Add more nodes to the cluster.
 - Terminate unneeded pods to make room for pending pods.
 - Check that the pod is not larger than all the nodes.  For example, if all the nodes
@@ -162,8 +163,8 @@ TotalResourceLimits:
   CPU(milliCPU):		910 (91% of total)
   Memory(bytes):		2485125120 (59% of total)
 [ ... lines removed for clarity ...]
-
 ```
+
 Here you can see from the `Allocated resources` section that that a pod which ask for more than
 90 millicpus or more than 1341MiB of memory will not be able to fit on this node.
 
@@ -214,8 +215,8 @@ Events:
   Tue, 07 Jul 2015 12:53:51 -0700   Tue, 07 Jul 2015 12:53:51 -0700  1      {kubelet kubernetes-minion-tf0f}  implicitly required container POD   created     Created with docker id 6a41280f516d
   Tue, 07 Jul 2015 12:53:51 -0700   Tue, 07 Jul 2015 12:53:51 -0700  1      {kubelet kubernetes-minion-tf0f}  implicitly required container POD   started     Started with docker id 6a41280f516d
   Tue, 07 Jul 2015 12:53:51 -0700   Tue, 07 Jul 2015 12:53:51 -0700  1      {kubelet kubernetes-minion-tf0f}  spec.containers{simmemleak}         created     Created with docker id 87348f12526a
-
 ```
+
 The `Restart Count:  5` indicates that the `simmemleak` container in this pod was terminated and restarted 5 times.
 
 You can call `get pod` with the `-o go-template=...` option to fetch the status of previously terminated containers:
@@ -224,8 +225,8 @@ You can call `get pod` with the `-o go-template=...` option to fetch the status
 [13:59:01] $ ./cluster/kubectl.sh  get pod -o go-template='{{range.status.containerStatuses}}{{"Container Name: "}}{{.name}}{{"\r\nLastState: "}}{{.lastState}}{{end}}'  simmemleak-60xbc
 Container Name: simmemleak
 LastState: map[terminated:map[exitCode:137 reason:OOM Killed startedAt:2015-07-07T20:58:43Z finishedAt:2015-07-07T20:58:43Z containerID:docker://0e4095bba1feccdfe7ef9fb6ebffe972b4b14285d5acdec6f0d3ae8a22fad8b2]][13:59:03] clusterScaleDoc ~/go/src/github.com/kubernetes/kubernetes $ 
-
 ```
+
 We can see that this container was terminated because `reason:OOM Killed`, where *OOM* stands for Out Of Memory.
 
 ## Planned Improvements
@@ -245,6 +246,3 @@ machine types within the same cloud providers.  For example, on AWS, the capacit
 is reported in [ECUs](http://aws.amazon.com/ec2/faqs/), while in GCE it is reported in logical
 cores.  We plan to revise the definition of the cpu resource to allow for more consistency
 across providers and platforms.
-
-
-

v1.1/docs/user-guide/configuring-containers.md

@@ -24,8 +24,8 @@ spec:  # specification of the pod's contents
   - name: hello
     image: "ubuntu:14.04"
     command: ["/bin/echo","hello'?,'?world"]
-
 ```
+
 The value of `metadata.name`, `hello-world`, will be the name of the pod resource created, and must be unique within the cluster, whereas `containers[0].name` is just a nickname for the container within that pod. `image` is the name of the Docker image, which Kubernetes expects to be able to pull from a registry, the [Docker Hub](https://registry.hub.docker.com/) by default.
 
 `restartPolicy: Never` indicates that we just want to run the container once and then terminate the pod.
@@ -35,15 +35,15 @@ The [`command`](containers.html#containers-and-commands) overrides the Docker co
 ```yaml
 command: ["/bin/echo"]
     args: ["hello","world"]
-
 ```
+
 This pod can be created using the `create` command:
 
 ```shell
 $ kubectl create -f ./hello-world.yaml
 pods/hello-world
-
 ```
+
 `kubectl` prints the resource type and name of the resource created when successful.
 
 ## Validating configuration
@@ -52,16 +52,16 @@ If you're not sure you specified the resource correctly, you can ask `kubectl` t
 
 ```shell
 $ kubectl create -f ./hello-world.yaml --validate
-
 ```
+
 Let's say you specified `entrypoint` instead of `command`. You'd see output as follows:
 
 ```shell
 I0709 06:33:05.600829   14160 schema.go:126] unknown field: entrypoint
 I0709 06:33:05.600988   14160 schema.go:129] this may be a false alarm, see http://issue.k8s.io/6842
 pods/hello-world
-
 ```
+
 `kubectl create --validate` currently warns about problems it detects, but creates the resource anyway, unless a required field is absent or a field value is invalid. Unknown API fields are ignored, so be careful. This pod was created, but with no `command`, which is an optional field, since the image may specify an `Entrypoint`.
 View the [Pod API
 object](http://kubernetes.io/v1.1/docs/api-reference/v1/definitions.html#_v1_pod)
@@ -86,15 +86,15 @@ spec:  # specification of the pod's contents
       value: "hello world"
     command: ["/bin/sh","-c"]
     args: ["/bin/echo \"${MESSAGE}\""]
-
 ```
+
 However, a shell isn't necessary just to expand environment variables. Kubernetes will do it for you if you use [`$(ENVVAR)` syntax](/{{page.version}}/docs/design/expansion):
 
 ```yaml
 command: ["/bin/echo"]
     args: ["$(MESSAGE)"]
-
 ```
+
 ## Viewing pod status
 
 You can see the pod you created (actually all of your cluster's pods) using the `get` command.
@@ -105,8 +105,8 @@ If you're quick, it will look as follows:
 $ kubectl get pods
 NAME          READY     STATUS    RESTARTS   AGE
 hello-world   0/1       Pending   0          0s
-
 ```
+
 Initially, a newly created pod is unscheduled -- no node has been selected to run it. Scheduling happens after creation, but is fast, so you normally shouldn't see pods in an unscheduled state unless there's a problem.
 
 After the pod has been scheduled, the image may need to be pulled to the node on which it was scheduled, if it hadn't been pulled already. After a few seconds, you should see the container running:
@@ -115,8 +115,8 @@ After the pod has been scheduled, the image may need to be pulled to the node on
 $ kubectl get pods
 NAME          READY     STATUS    RESTARTS   AGE
 hello-world   1/1       Running   0          5s
-
 ```
+
 The `READY` column shows how many containers in the pod are running.
 
 Almost immediately after it starts running, this command will terminate. `kubectl` shows that the container is no longer running and displays the exit status:
@@ -125,8 +125,8 @@ Almost immediately after it starts running, this command will terminate. `kubect
 $ kubectl get pods
 NAME          READY     STATUS       RESTARTS   AGE
 hello-world   0/1       ExitCode:0   0          15s
-
 ```
+
 ## Viewing pod output
 
 You probably want to see the output of the command you ran. As with [`docker logs`](https://docs.docker.com/userguide/usingdocker/), `kubectl logs` will show you the output:
@@ -134,8 +134,8 @@ You probably want to see the output of the command you ran. As with [`docker log
 ```shell
 $ kubectl logs hello-world
 hello world
-
 ```
+
 ## Deleting pods
 
 When you're done looking at the output, you should delete the pod:
@@ -143,8 +143,8 @@ When you're done looking at the output, you should delete the pod:
 ```shell
 $ kubectl delete pod hello-world
 pods/hello-world
-
 ```
+
 As with `create`, `kubectl` prints the resource type and name of the resource deleted when successful.
 
 You can also use the resource/name format to specify the pod:
@@ -152,8 +152,8 @@ You can also use the resource/name format to specify the pod:
 ```shell
 $ kubectl delete pods/hello-world
 pods/hello-world
-
 ```
+
 Terminated pods aren't currently automatically deleted, so that you can observe their final status, so be sure to clean up your dead pods.
 
 On the other hand, containers and their logs are eventually deleted automatically in order to free up disk space on the nodes.
@@ -161,6 +161,3 @@ On the other hand, containers and their logs are eventually deleted automaticall
 ## What's next?
 
 [Learn about deploying continuously running applications.](deploying-applications)
-
-
-

v1.1/docs/user-guide/connecting-applications.md

@@ -35,8 +35,8 @@ spec:
         image: nginx
         ports:
         - containerPort: 80
-
 ```
+
 This makes it accessible from any node in your cluster. Check the nodes the pod is running on:
 
 ```shell
@@ -44,16 +44,16 @@ $ kubectl create -f ./nginxrc.yaml
 $ kubectl get pods -l app=nginx -o wide
 my-nginx-6isf4   1/1       Running   0          2h        e2e-test-beeps-minion-93ly
 my-nginx-t26zt   1/1       Running   0          2h        e2e-test-beeps-minion-93ly
-
 ```
+
 Check your pods' IPs:
 
 ```shell
 $ kubectl get pods -l app=nginx -o json | grep podIP
                 "podIP": "10.245.0.15",
                 "podIP": "10.245.0.14",
-
 ```
+
 You should be able to ssh into any node in your cluster and curl both IPs. Note that the containers are *not* using port 80 on the node, nor are there any special NAT rules to route traffic to the pod. This means you can run multiple nginx pods on the same node all using the same containerPort and access them from any other pod or node in your cluster using IP. Like Docker, ports can still be published to the host node's interface(s), but the need for this is radically diminished because of the networking model.
 
 You can read more about [how we achieve this](../admin/networking.html#how-to-achieve-this) if you're curious.
@@ -80,8 +80,8 @@ spec:
     protocol: TCP
   selector:
     app: nginx
-
 ```
+
 This specification will create a Service which targets TCP port 80 on any Pod with the `app=nginx` label, and expose it on an abstracted Service port (`targetPort`: is the port the container accepts traffic on, `port`: is the abstracted Service port, which can be any port other pods use to access the Service). View [service API object](http://kubernetes.io/v1.1/docs/api-reference/v1/definitions.html#_v1_service) to see the list of supported fields in service definition.
 Check your Service:
 
@@ -90,8 +90,8 @@ $ kubectl get svc
 NAME         CLUSTER_IP       EXTERNAL_IP       PORT(S)                SELECTOR     AGE
 kubernetes   10.179.240.1     <none>            443/TCP                <none>       8d
 nginxsvc     10.179.252.126   122.222.183.144   80/TCP,81/TCP,82/TCP   run=nginx2   11m
-
 ```
+
 As mentioned previously, a Service is backed by a group of pods. These pods are exposed through `endpoints`. The Service's selector will be evaluated continuously and the results will be POSTed to an Endpoints object also named `nginxsvc`. When a pod dies, it is automatically removed from the endpoints, and new pods matching the Service's selector will automatically get added to the endpoints. Check the endpoints, and note that the IPs are the same as the pods created in the first step:
 
 ```shell
@@ -110,8 +110,8 @@ No events.
 $ kubectl get ep
 NAME         ENDPOINTS
 nginxsvc     10.245.0.14:80,10.245.0.15:80
-
 ```
+
 You should now be able to curl the nginx Service on `10.0.116.146:80` from any node in your cluster. Note that the Service IP is completely virtual, it never hits the wire, if you're curious about how this works you can read more about the [service proxy](services.html#virtual-ips-and-service-proxies).
 
 ## Accessing the Service
@@ -126,8 +126,8 @@ When a Pod is run on a Node, the kubelet adds a set of environment variables for
 $ kubectl exec my-nginx-6isf4 -- printenv | grep SERVICE
 KUBERNETES_SERVICE_HOST=10.0.0.1
 KUBERNETES_SERVICE_PORT=443
-
 ```
+
 Note there's no mention of your Service. This is because you created the replicas before the Service. Another disadvantage of doing this is that the scheduler might put both pods on the same machine, which will take your entire Service down if it dies. We can do this the right way by killing the 2 pods and waiting for the replication controller to recreate them. This time around the Service exists *before* the replicas. This will given you scheduler level Service spreading of your pods (provided all your nodes have equal capacity), as well as the right environment variables:
 
 ```shell
@@ -142,8 +142,8 @@ KUBERNETES_SERVICE_PORT=443
 NGINXSVC_SERVICE_HOST=10.0.116.146
 KUBERNETES_SERVICE_HOST=10.0.0.1
 NGINXSVC_SERVICE_PORT=80
-
 ```
+
 ### DNS
 
 Kubernetes offers a DNS cluster addon Service that uses skydns to automatically assign dns names to other Services. You can check if it's running on your cluster:
@@ -152,8 +152,8 @@ Kubernetes offers a DNS cluster addon Service that uses skydns to automatically
 $ kubectl get services kube-dns --namespace=kube-system
 NAME       CLUSTER_IP      EXTERNAL_IP   PORT(S)         SELECTOR           AGE
 kube-dns   10.179.240.10   <none>        53/UDP,53/TCP   k8s-app=kube-dns   8d
-
 ```
+
 If it isn't running, you can [enable it](http://releases.k8s.io/release-1.1/cluster/addons/dns/README.md#how-do-i-configure-it). The rest of this section will assume you have a Service with a long lived IP (nginxsvc), and a dns server that has assigned a name to that IP (the kube-dns cluster addon), so you can talk to the Service from any pod in your cluster using standard methods (e.g. gethostbyname). Let's create another pod to test this:
 
 ```yaml
@@ -171,8 +171,8 @@ spec:
     imagePullPolicy: IfNotPresent
     name: curlcontainer
   restartPolicy: Always
-
 ```
+
 And perform a lookup of the nginx Service
 
 ```shell
@@ -187,11 +187,12 @@ Server:    10.0.0.10
 Address 1: 10.0.0.10
 Name:      nginxsvc
 Address 1: 10.0.116.146
-
 ```
+
 ## Securing the Service
 
 Till now we have only accessed the nginx server from within the cluster. Before exposing the Service to the internet, you want to make sure the communication channel is secure. For this, you will need:
+
 * Self signed certificates for https (unless you already have an identity certificate)
 * An nginx server configured to use the certificates
 * A [secret](secrets) that makes the certificates accessible to pods
@@ -206,8 +207,8 @@ $ kubectl get secrets
 NAME                  TYPE                                  DATA
 default-token-il9rc   kubernetes.io/service-account-token   1
 nginxsecret           Opaque                                2
-
 ```
+
 Now modify your nginx replicas to start a https server using the certificate in the secret, and the Service, to expose both ports (80 and 443):
 
 ```yaml
@@ -255,9 +256,10 @@ spec:
         volumeMounts:
         - mountPath: /etc/nginx/ssl
           name: secret-volume
-
 ```
+
 Noteworthy points about the nginx-app manifest:
+
 - It contains both rc and service specification in the same file
 - The [nginx server](https://github.com/kubernetes/kubernetes/tree/master/examples/https-nginx/default.conf) serves http traffic on port 80 and https traffic on 443, and nginx Service exposes both ports.
 - Each container has access to the keys through a volume mounted at /etc/nginx/ssl. This is setup *before* the nginx server is started.
@@ -268,8 +270,8 @@ replicationcontrollers/my-nginx
 services/nginxsvc
 services/nginxsvc
 replicationcontrollers/my-nginx
-
 ```
+
 At this point you can reach the nginx server from any node.
 
 ```shell
@@ -278,8 +280,8 @@ $ kubectl get pods -o json | grep -i podip
 node $ curl -k https://10.1.0.80
 ...
 <h1>Welcome to nginx!</h1>
-
 ```
+
 Note how we supplied the `-k` parameter to curl in the last step, this is because we don't know anything about the pods running nginx at certificate generation time,
 so we have to tell curl to ignore the CName mismatch. By creating a Service we linked the CName used in the certificate with the actual DNS name used by pods during Service lookup.
 Lets test this from a pod (the same secret is being reused for simplicity, the pod only needs nginx.crt to access the Service):
@@ -322,8 +324,8 @@ $ kubectl exec curlpod -- curl https://nginxsvc --cacert /etc/nginx/ssl/nginx.cr
 ...
 <title>Welcome to nginx!</title>
 ...
-
 ```
+
 ## Exposing the Service
 
 For some parts of your applications you may want to expose a Service onto an external IP address. Kubernetes supports two ways of doing this: NodePorts and LoadBalancers. The Service created in the last section already used `NodePort`, so your nginx https replica is ready to serve traffic on the internet if your node has a public IP.
@@ -359,8 +361,8 @@ $ kubectl get nodes -o json | grep ExternalIP -C 2
 $ curl https://104.197.63.17:30645 -k
 ...
 <h1>Welcome to nginx!</h1>
-
 ```
+
 Lets now recreate the Service to use a cloud load balancer, just change the `Type` of Service in the nginx-app.yaml from `NodePort` to `LoadBalancer`:
 
 ```shell
@@ -373,14 +375,11 @@ nginxsvc  10.179.252.126   162.222.184.144   80/TCP,81/TCP,82/TCP   run=nginx2
 $ curl https://162.22.184.144 -k
 ...
 <title>Welcome to nginx!</title>
-
 ```
+
 The IP address in the `EXTERNAL_IP` column is the one that is available on the public internet.  The `CLUSTER_IP` is only available inside your
 cluster/private cloud network.
 
 ## What's next?
 
 [Learn about more Kubernetes features that will help you run containers reliably in production.](production-pods)
-
-
-

v1.1/docs/user-guide/connecting-to-applications-port-forward.md

@@ -9,6 +9,7 @@ kubectl port-forward forwards connections to a local port to a port on a pod. It
 $ kubectl create examples/redis/redis-master.yaml
 pods/redis-master
 ```
+
 wait until the Redis master pod is Running and Ready,
 
 ```shell
@@ -16,6 +17,7 @@ $ kubectl get pods
 NAME           READY     STATUS    RESTARTS   AGE
 redis-master   2/2       Running   0          41s
 ```
+
 ## Connecting to the Redis master[a]
 
 The Redis master is listening on port 6397, to verify this,
@@ -24,6 +26,7 @@ The Redis master is listening on port 6397, to verify this,
 $ kubectl get pods redis-master -t='{{(index (index .spec.containers 0).ports 0).containerPort}}{{"\n"}}'
 6379
 ```
+
 then we forward the port 6379 on the local workstation to the port 6379 of pod redis-master,
 
 ```shell
@@ -31,6 +34,7 @@ $ kubectl port-forward redis-master 6379:6379
 I0710 14:43:38.274550    3655 portforward.go:225] Forwarding from 127.0.0.1:6379 -> 6379
 I0710 14:43:38.274797    3655 portforward.go:225] Forwarding from [::1]:6379 -> 6379
 ```
+
 To verify the connection is successful, we run a redis-cli on the local workstation,
 
 ```shell
@@ -38,4 +42,5 @@ $ redis-cli
 127.0.0.1:6379> ping
 PONG
 ```
+
 Now one can debug the database from the local workstation.

v1.1/docs/user-guide/connecting-to-applications-proxy.md

@@ -12,6 +12,7 @@ kube-ui is deployed as a cluster add-on. To find its apiserver proxy URL,
 $ kubectl cluster-info | grep "KubeUI"
 KubeUI is running at https://173.255.119.104/api/v1/proxy/namespaces/kube-system/services/kube-ui
 ```
+
 if this command does not find the URL, try the steps [here](ui.html#accessing-the-ui).
 
 
@@ -23,4 +24,5 @@ The above proxy URL is an access to the kube-ui service provided by the apiserve
 $ kubectl proxy --port=8001
 Starting to serve on localhost:8001
 ```
+
 Now you can access the kube-ui service on your local workstation at [http://localhost:8001/api/v1/proxy/namespaces/kube-system/services/kube-ui](http://localhost:8001/api/v1/proxy/namespaces/kube-system/services/kube-ui)

v1.1/docs/user-guide/container-environment.md

@@ -1,10 +1,6 @@
 ---
 title: "Kubernetes Container Environment"
 ---
-{% include pagetoc.html %}
-
-## Overview
-
 This document describes the environment for Kubelet managed containers on a Kubernetes node (kNode).  In contrast to the Kubernetes cluster API, which provides an API for creating and managing containers, the Kubernetes container environment provides the container access to information about what else is going on in the cluster.
 
 This cluster information makes it possible to build applications that are *cluster aware*.
@@ -12,9 +8,10 @@ Additionally, the Kubernetes container environment defines a series of hooks tha
 
 Another important part of the container environment is the file system that is available to the container.  In Kubernetes, the filesystem is a combination of an [image](images) and one or more [volumes](volumes).
 
-
 The following sections describe both the cluster information provided to containers, as well as the hooks and life-cycle that allows containers to interact with the management system.
 
+{% include pagetoc.html %}
+
 ## Cluster Information
 
 There are two types of information that are available within the container environment.  There is information about the container itself, and there is information about other objects in the system.
@@ -36,8 +33,8 @@ For a service named **foo** that maps to a container port named **bar**, the fol
 ```shell
 FOO_SERVICE_HOST=<the host the service is running on>
 FOO_SERVICE_PORT=<the port the service is running on>
-
 ```
+
 Services have dedicated IP address, and are also surfaced to the container via DNS (If [DNS addon](http://releases.k8s.io/release-1.1/cluster/addons/dns/) is enabled).  Of course DNS is still not an enumerable protocol, so we will continue to provide environment variables so that containers can do discovery.
 
 ## Container Hooks
@@ -80,6 +77,3 @@ Hook handlers are the way that hooks are surfaced to containers.  Containers ca
    * HTTP - Executes an HTTP request against a specific endpoint on the container.
 
 [1]: http://man7.org/linux/man-pages/man2/gethostname.2.html
-
-
-

v1.1/docs/user-guide/debugging-services.md

@@ -21,22 +21,22 @@ If the command "COMMAND" is expected to run in a `Pod` and produce "OUTPUT":
 ```shell
 u@pod$ COMMAND
 OUTPUT
-
 ```
+
 If the command "COMMAND" is expected to run on a `Node` and produce "OUTPUT":
 
 ```shell
 u@node$ COMMAND
 OUTPUT
-
 ```
+
 If the command is "kubectl ARGS":
 
 ```shell
 $ kubectl ARGS
 OUTPUT
-
 ```
+
 ## Running commands in a Pod
 
 For many steps here you will want to see what a `Pod` running in the cluster
@@ -58,22 +58,22 @@ spec:
     - "1000000"
 EOF
 pods/busybox-sleep
-
 ```
+
 Now, when you need to run a command (even an interactive shell) in a `Pod`-like
 context, use:
 
 ```shell
 $ kubectl exec busybox-sleep -- <COMMAND>
-
 ```
+
 or
 
 ```shell
 $ kubectl exec -ti busybox-sleep sh
 / #
-
 ```
+
 ## Setup
 
 For the purposes of this walk-through, let's run some `Pod`s.  Since you're
@@ -87,8 +87,8 @@ $ kubectl run hostnames --image=gcr.io/google_containers/serve_hostname \
                         --replicas=3
 CONTROLLER   CONTAINER(S)   IMAGE(S)                                  SELECTOR        REPLICAS
 hostnames    hostnames      gcr.io/google_containers/serve_hostname   app=hostnames   3
-
 ```
+
 Note that this is the same as if you had started the `ReplicationController` with
 the following YAML:
 
@@ -112,8 +112,8 @@ spec:
         ports:
         - containerPort: 9376
           protocol: TCP
-
 ```
+
 Confirm your `Pod`s are running:
 
 ```shell
@@ -122,8 +122,8 @@ NAME              READY     STATUS    RESTARTS   AGE
 hostnames-0uton   1/1       Running   0          12s
 hostnames-bvc05   1/1       Running   0          12s
 hostnames-yp2kp   1/1       Running   0          12s
-
 ```
+
 ## Does the Service exist?
 
 The astute reader will have noticed that we did not actually create a `Service`
@@ -137,37 +137,37 @@ like:
 ```shell
 u@pod$ wget -qO- hostnames
 wget: bad address 'hostname'
-
 ```
+
 or:
 
 ```shell
 u@pod$ echo $HOSTNAMES_SERVICE_HOST
-
 ```
+
 So the first thing to check is whether that `Service` actually exists:
 
 ```shell
 $ kubectl get svc hostnames
 Error from server: service "hostnames" not found
-
 ```
+
 So we have a culprit, let's create the `Service`.  As before, this is for the
 walk-through - you can use your own `Service`'s details here.
 
 ```shell
 $ kubectl expose rc hostnames --port=80 --target-port=9376
 service "hostnames" exposed
-
 ```
+
 And read it back, just to be sure:
 
 ```shell
 $ kubectl get svc hostnames
 NAME              CLUSTER_IP       EXTERNAL_IP       PORT(S)       SELECTOR               AGE
 hostnames         10.0.0.1         <none>            80/TCP        run=hostnames          1h
-
 ```
+
 As before, this is the same as if you had started the `Service` with YAML:
 
 ```yaml
@@ -183,8 +183,8 @@ spec:
     protocol: TCP
     port: 80
     targetPort: 9376
-
 ```
+
 Now you can confirm that the `Service` exists.
 
 ## Does the Service work by DNS?
@@ -198,8 +198,8 @@ Address:        10.0.0.10#53
 
 Name:   hostnames
 Address: 10.0.1.175
-
 ```
+
 If this fails, perhaps your `Pod` and `Service` are in different
 `Namespace`s, try a namespace-qualified name:
 
@@ -210,8 +210,8 @@ Address:        10.0.0.10#53
 
 Name:   hostnames.default
 Address: 10.0.1.175
-
 ```
+
 If this works, you'll need to ensure that `Pod`s and `Service`s run in the same
 `Namespace`.  If this still fails, try a fully-qualified name:
 
@@ -222,8 +222,8 @@ Address:        10.0.0.10#53
 
 Name:   hostnames.default.svc.cluster.local
 Address: 10.0.1.175
-
 ```
+
 Note the suffix here: "default.svc.cluster.local".  The "default" is the
 `Namespace` we're operating in.  The "svc" denotes that this is a `Service`.
 The "cluster.local" is your cluster domain.
@@ -238,8 +238,8 @@ Address:        10.0.0.10#53
 
 Name:   hostnames.default.svc.cluster.local
 Address: 10.0.1.175
-
 ```
+
 If you are able to do a fully-qualified name lookup but not a relative one, you
 need to check that your `kubelet` is running with the right flags.
 The `--cluster-dns` flag needs to point to your DNS `Service`'s IP and the
@@ -260,8 +260,8 @@ Address 1: 10.0.0.10
 
 Name:      kubernetes
 Address 1: 10.0.0.1
-
 ```
+
 If this fails, you might need to go to the kube-proxy section of this doc, or
 even go back to the top of this document and start over, but instead of
 debugging your own `Service`, debug DNS.
@@ -280,8 +280,8 @@ hostnames-yp2kp
 
 u@node$ curl 10.0.1.175:80
 hostnames-bvc05
-
 ```
+
 If your `Service` is working, you should get correct responses.  If not, there
 are a number of things that could be going wrong.  Read on.
 
@@ -328,8 +328,8 @@ $ kubectl get service hostnames -o json
         "loadBalancer": {}
     }
 }
-
 ```
+
 Is the port you are trying to access in `spec.ports[]`?  Is the `targetPort`
 correct for your `Pod`s?  If you meant it to be a numeric port, is it a number
 (9376) or a string "9376"?  If you meant it to be a named port, do your `Pod`s
@@ -350,8 +350,8 @@ NAME              READY     STATUS    RESTARTS   AGE
 hostnames-0uton   1/1       Running   0          1h
 hostnames-bvc05   1/1       Running   0          1h
 hostnames-yp2kp   1/1       Running   0          1h
-
 ```
+
 The "AGE" column says that these `Pod`s are about an hour old, which implies that
 they are running fine and not crashing.
 
@@ -363,8 +363,8 @@ selector of every `Service` and save the results into an `Endpoints` object.
 $ kubectl get endpoints hostnames
 NAME        ENDPOINTS
 hostnames   10.244.0.5:9376,10.244.0.6:9376,10.244.0.7:9376
-
 ```
+
 This confirms that the control loop has found the correct `Pod`s for your
 `Service`.  If the `hostnames` row is blank, you should check that the
 `spec.selector` field of your `Service` actually selects for `metadata.labels`
@@ -385,8 +385,8 @@ hostnames-bvc05
 
 u@pod$ wget -qO- 10.244.0.7:9376
 hostnames-yp2kp
-
 ```
+
 We expect each `Pod` in the `Endpoints` list to return its own hostname.  If
 this is not what happens (or whatever the correct behavior is for your own
 `Pod`s), you should investigate what's happening there.  You might find
@@ -407,8 +407,8 @@ like the below:
 ```shell
 u@node$ ps auxw | grep kube-proxy
 root  4194  0.4  0.1 101864 17696 ?    Sl Jul04  25:43 /usr/local/bin/kube-proxy --master=https://kubernetes-master --kubeconfig=/var/lib/kube-proxy/kubeconfig --v=2
-
 ```
+
 Next, confirm that it is not failing something obvious, like contacting the
 master.  To do this, you'll have to look at the logs.  Accessing the logs
 depends on your `Node` OS.  On some OSes it is a file, such as
@@ -434,8 +434,8 @@ I0707 17:34:54.902313   30031 proxysocket.go:130] Accepted TCP connection from 1
 I0707 17:34:54.903107   30031 proxysocket.go:130] Accepted TCP connection from 10.244.3.3:42671 to 10.244.3.1:40074
 I0707 17:35:46.015868   30031 proxysocket.go:246] New UDP connection from 10.244.3.2:57493
 I0707 17:35:46.017061   30031 proxysocket.go:246] New UDP connection from 10.244.3.2:55471
-
 ```
+
 If you see error messages about not being able to contact the master, you
 should double-check your `Node` configuration and installation steps.
 
@@ -449,8 +449,8 @@ written.
 u@node$ iptables-save | grep hostnames
 -A KUBE-PORTALS-CONTAINER -d 10.0.1.175/32 -p tcp -m comment --comment "default/hostnames:default" -m tcp --dport 80 -j REDIRECT --to-ports 48577
 -A KUBE-PORTALS-HOST -d 10.0.1.175/32 -p tcp -m comment --comment "default/hostnames:default" -m tcp --dport 80 -j DNAT --to-destination 10.240.115.247:48577
-
 ```
+
 There should be 2 rules for each port on your `Service` (just one in this
 example) - a "KUBE-PORTALS-CONTAINER" and a "KUBE-PORTALS-HOST".  If you do
 not see these, try restarting `kube-proxy` with the `-V` flag set to 4, and
@@ -463,8 +463,8 @@ Assuming you do see the above rules, try again to access your `Service` by IP:
 ```shell
 u@node$ curl 10.0.1.175:80
 hostnames-0uton
-
 ```
+
 If this fails, we can try accessing the proxy directly.  Look back at the
 `iptables-save` output above, and extract the port number that `kube-proxy` is
 using for your `Service`.  In the above examples it is "48577".  Now connect to
@@ -473,14 +473,14 @@ that:
 ```shell
 u@node$ curl localhost:48577
 hostnames-yp2kp
-
 ```
+
 If this still fails, look at the `kube-proxy` logs for specific lines like:
 
 ```shell
 Setting endpoints for default/hostnames:default to [10.244.0.5:9376 10.244.0.6:9376 10.244.0.7:9376]
-
 ```
+
 If you don't see those, try restarting `kube-proxy` with the `-V` flag set to 4, and
 then look at the logs again.
 
@@ -500,6 +500,3 @@ Contact us on
 ## More information
 
 Visit [troubleshooting document](../troubleshooting) for more information.
-
-
-

v1.1/docs/user-guide/deploying-applications.md

@@ -1,10 +1,10 @@
 ---
 title: "Kubernetes User Guide: Managing Applications: Deploying continuously running applications"
 ---
-{% include pagetoc.html %}
-
 You previously read about how to quickly deploy a simple replicated application using [`kubectl run`](quick-start) and how to configure and launch single-run containers using pods ([Configuring containers](configuring-containers)). Here you'll use the configuration-based approach to deploy a continuously running, replicated application.
 
+{% include pagetoc.html %}
+
 ## Launching a set of replicas using a configuration file
 
 Kubernetes creates and manages sets of replicated containers (actually, replicated [Pods](pods)) using [*Replication Controllers*](replication-controller).
@@ -30,8 +30,8 @@ spec:
         image: nginx
         ports:
         - containerPort: 80
-
 ```
+
 Some differences compared to specifying just a pod are that the `kind` is `ReplicationController`, the number of `replicas` desired is specified, and the pod specification is under the `template` field. The names of the pods don't need to be specified explicitly because they are generated from the name of the replication controller.
 View the [replication controller API
 object](http://kubernetes.io/v1.1/docs/api-reference/v1/definitions.html#_v1_replicationcontroller)
@@ -42,8 +42,8 @@ This replication controller can be created using `create`, just as with pods:
 ```shell
 $ kubectl create -f ./nginx-rc.yaml
 replicationcontrollers/my-nginx
-
 ```
+
 Unlike in the case where you directly create pods, a replication controller replaces pods that are deleted or terminated for any reason, such as in the case of node failure. For this reason, we recommend that you use a replication controller for a continuously running application even if your application requires only a single pod, in which case you can omit `replicas` and it will default to a single replica.
 
 ## Viewing replication controller status
@@ -54,8 +54,8 @@ You can view the replication controller you created using `get`:
 $ kubectl get rc
 CONTROLLER   CONTAINER(S)   IMAGE(S)   SELECTOR    REPLICAS
 my-nginx     nginx          nginx      app=nginx   2
-
 ```
+
 This tells you that your controller will ensure that you have two nginx replicas.
 
 You can see those replicas using `get`, just as with pods you created directly:
@@ -65,8 +65,8 @@ $ kubectl get pods
 NAME             READY     STATUS    RESTARTS   AGE
 my-nginx-065jq   1/1       Running   0          51s
 my-nginx-buaiq   1/1       Running   0          51s
-
 ```
+
 ## Deleting replication controllers
 
 When you want to kill your application, delete your replication controller, as in the [Quick start](quick-start):
@@ -74,8 +74,8 @@ When you want to kill your application, delete your replication controller, as i
 ```shell
 $ kubectl delete rc my-nginx
 replicationcontrollers/my-nginx
-
 ```
+
 By default, this will also cause the pods managed by the replication controller to be deleted. If there were a large number of pods, this may take a while to complete. If you want to leave the pods running, specify `--cascade=false`.
 
 If you try to delete the pods before deleting the replication controller, it will just replace them, as it is supposed to do.
@@ -89,28 +89,25 @@ $ kubectl get pods -L app
 NAME             READY     STATUS    RESTARTS   AGE       APP
 my-nginx-afv12   0/1       Running   0          3s        nginx
 my-nginx-lg99z   0/1       Running   0          3s        nginx
-
 ```
+
 The labels from the pod template are copied to the replication controller's labels by default, as well -- all resources in Kubernetes support labels:
 
 ```shell
 $ kubectl get rc my-nginx -L app
 CONTROLLER   CONTAINER(S)   IMAGE(S)   SELECTOR    REPLICAS   APP
 my-nginx     nginx          nginx      app=nginx   2          nginx
-
 ```
+
 More importantly, the pod template's labels are used to create a [`selector`](labels.html#label-selectors) that will match pods carrying those labels. You can see this field by requesting it using the [Go template output format of `kubectl get`](kubectl/kubectl_get):
 
 ```shell
 $ kubectl get rc my-nginx -o template --template="{{.spec.selector}}"
 map[app:nginx]
-
 ```
+
 You could also specify the `selector` explicitly, such as if you wanted to specify labels in the pod template that you didn't want to select on, but you should ensure that the selector will match the labels of the pods created from the pod template, and that it won't match pods created by other replication controllers. The most straightforward way to ensure the latter is to create a unique label value for the replication controller, and to specify it in both the pod template's labels and in the selector.
 
 ## What's next?
 
 [Learn about exposing applications to users and clients, and connecting tiers of your application together.](connecting-applications)
-
-
-

v1.1/docs/user-guide/deployments.md

@@ -12,6 +12,7 @@ Users can define deployments to create new resources, or replace existing ones
 by new ones.
 
 A typical use case is:
+
 * Create a deployment to bring up a replication controller and pods.
 * Later, update that deployment to recreate the pods (for ex: to use a new image).
 
@@ -53,8 +54,8 @@ spec:
         image: nginx:1.7.9
         ports:
         - containerPort: 80
-
 ```
+
 [Download example](nginx-deployment.yaml)
 <!-- END MUNGE: EXAMPLE nginx-deployment.yaml -->
 
@@ -63,16 +64,16 @@ Run the example by downloading the example file and then running this command:
 ```shell
 $ kubectl create -f docs/user-guide/nginx-deployment.yaml
 deployment "nginx-deployment" created
-
 ```
+
 Running a get immediately will give:
 
 ```shell
 $ kubectl get deployments
 NAME               UPDATEDREPLICAS   AGE
 nginx-deployment   0/3               8s
-
 ```
+
 This indicates that deployment is trying to update 3 replicas. It has not
 updated any one of those yet.
 
@@ -82,8 +83,8 @@ Running a get again after a minute, will give:
 $ kubectl get deployments
 NAME               UPDATEDREPLICAS   AGE
 nginx-deployment   3/3               1m
-
 ```
+
 This indicates that deployent has created all the 3 replicas.
 Running ```kubectl get rc```
 and ```kubectl get pods```
@@ -94,16 +95,16 @@ $ kubectl get rc
 CONTROLLER                      CONTAINER(S)   IMAGE(S)      SELECTOR                                                        REPLICAS   AGE
 REPLICAS   AGE
 deploymentrc-1975012602         nginx          nginx:1.7.9   deployment.kubernetes.io/podTemplateHash=1975012602,app=nginx   3          2m
-
 ```
+
 ```shell
 $ kubectl get pods
 NAME                            READY          STATUS        RESTARTS       AGE
 deploymentrc-1975012602-4f2tb   1/1            Running       0              1m
 deploymentrc-1975012602-j975u   1/1            Running       0              1m
 deploymentrc-1975012602-uashb   1/1            Running       0              1m
-
 ```
+
 The created RC will ensure that there are 3 nginx pods at all time.
 
 ## Updating a Deployment
@@ -131,8 +132,8 @@ spec:
         image: nginx:1.9.1
         ports:
         - containerPort: 80
-
 ```
+
 [Download example](new-nginx-deployment.yaml)
 <!-- END MUNGE: EXAMPLE new-nginx-deployment.yaml -->
 
@@ -140,16 +141,16 @@ spec:
 ```shell
 $ kubectl apply -f docs/user-guide/new-nginx-deployment.yaml
 deployment "nginx-deployment" configured
-
 ```
+
 Running a get immediately will still give:
 
 ```shell
 $ kubectl get deployments
 NAME               UPDATEDREPLICAS   AGE
 nginx-deployment   3/3               8s
-
 ```
+
 This indicates that deployment status has not been updated yet (it is still
 showing old status).
 Running a get again after a minute, will give:
@@ -158,8 +159,8 @@ Running a get again after a minute, will give:
 $ kubectl get deployments
 NAME               UPDATEDREPLICAS   AGE
 nginx-deployment   1/3               1m
-
 ```
+
 This indicates that deployment has updated one of the three pods that it needs
 to update.
 Eventually, it will get around to updating all the pods.
@@ -168,9 +169,9 @@ Eventually, it will get around to updating all the pods.
 $ kubectl get deployments
 NAME               UPDATEDREPLICAS   AGE
 nginx-deployment   3/3               3m
-
 ```
-We can run ```kubectl get rc```
+
+We can run `kubectl get rc`
 to see that deployment updated the pods by creating a new RC
 which it scaled up to 3 and scaled down the old RC to 0.
 
@@ -179,8 +180,8 @@ kubectl get rc
 CONTROLLER                CONTAINER(S)   IMAGE(S)      SELECTOR                                                         REPLICAS   AGE
 deploymentrc-1562004724   nginx          nginx:1.9.1   deployment.kubernetes.io/podTemplateHash=1562004724,app=nginx   3          5m
 deploymentrc-1975012602   nginx          nginx:1.7.9   deployment.kubernetes.io/podTemplateHash=1975012602,app=nginx   0          7m
-
 ```
+
 Running get pods, will only show the new pods.
 
 ```shell
@@ -189,8 +190,8 @@ NAME                            READY     STATUS    RESTARTS   AGE
 deploymentrc-1562004724-0tgk5   1/1       Running   0          9m
 deploymentrc-1562004724-1rkfl   1/1       Running   0          8m
 deploymentrc-1562004724-6v702   1/1       Running   0          8m
-
 ```
+
 Next time we want to update pods, we can just update the deployment again.
 
 Deployment ensures that not all pods are down while they are being updated. By
@@ -219,8 +220,8 @@ Events:
   2m            2m              1       {deployment-controller }                        ScalingRC       Scaled down rc deploymentrc-1975012602 to 1
   1m            1m              1       {deployment-controller }                        ScalingRC       Scaled up rc deploymentrc-1562004724 to 3
   1m            1m              1       {deployment-controller }                        ScalingRC       Scaled down rc deploymentrc-1975012602 to 0
-
 ```
+
 Here we see that when we first created the deployment, it created an RC and scaled it up to 3 replicas directly.
 When we updated the deployment, it created a new RC and scaled it up to 1 and then scaled down the old RC by 1, so that at least 2 pods were available at all times.
 It then scaled up the new RC to 3 and when those pods were ready, it scaled down the old RC to 0.

v1.1/docs/user-guide/docker-cli-to-kubectl.md

@@ -17,8 +17,8 @@ a9ec34d9878748d2f33dc20cb25c714ff21da8d40558b45bfaec9955859075d0
 $ docker ps
 CONTAINER ID        IMAGE               COMMAND                CREATED             STATUS              PORTS                         NAMES
 a9ec34d98787        nginx               "nginx -g 'daemon of   2 seconds ago       Up 2 seconds        0.0.0.0:80->80/tcp, 443/tcp   nginx-app 
-
 ```
+
 With kubectl:
 
 ```shell
@@ -27,16 +27,16 @@ $ kubectl run --image=nginx nginx-app --port=80 --env="DOMAIN=cluster"
 replicationcontroller "nginx-app" created
 # expose a port through with a service
 $ kubectl expose rc nginx-app --port=80 --name=nginx-http
-
 ```
+
 With kubectl, we create a [replication controller](replication-controller) which will make sure that N pods are running nginx (where N is the number of replicas stated in the spec, which defaults to 1). We also create a [service](services) with a selector that matches the replication controller's selector. See the [Quick start](quick-start) for more information.
 
 By default images are run in the background, similar to `docker run -d ...`, if you want to run things in the foreground, use:
 
 ```shell
 kubectl run [-i] [--tty] --attach <name> --image=<image>
-
 ```
+
 Unlike `docker run ...`, if `--attach` is specified, we attach to `stdin`, `stdout` and `stderr`, there is no ability to control which streams are attached (`docker -a ...`).
 
 Because we start a replication controller for your container, it will be restarted if you terminate the attached process (e.g. `ctrl-c`), this is different than `docker run -it`.
@@ -52,16 +52,16 @@ With docker:
 $ docker ps
 CONTAINER ID        IMAGE               COMMAND                CREATED             STATUS              PORTS                         NAMES
 a9ec34d98787        nginx               "nginx -g 'daemon of   About an hour ago   Up About an hour    0.0.0.0:80->80/tcp, 443/tcp   nginx-app
-
 ```
+
 With kubectl:
 
 ```shell
 $ kubectl get po
 NAME              READY     STATUS    RESTARTS   AGE
 nginx-app-5jyvm   1/1       Running   0          1h
-
 ```
+
 #### docker attach
 
 How do I attach to a process that is already running in a container?  Checkout [kubectl attach](kubectl/kubectl_attach)
@@ -74,8 +74,8 @@ CONTAINER ID        IMAGE               COMMAND                CREATED
 a9ec34d98787        nginx               "nginx -g 'daemon of   8 minutes ago       Up 8 minutes        0.0.0.0:80->80/tcp, 443/tcp   nginx-app
 $ docker attach -it a9ec34d98787
 ...
-
 ```
+
 With kubectl:
 
 ```shell
@@ -84,9 +84,8 @@ NAME              READY     STATUS    RESTARTS   AGE
 nginx-app-5jyvm   1/1       Running   0          10m
 $ kubectl attach -it nginx-app-5jyvm
 ...
-
-
 ```
+
 #### docker exec
 
 How do I execute a command in a container? Checkout [kubectl exec](kubectl/kubectl_exec).
@@ -99,9 +98,8 @@ CONTAINER ID        IMAGE               COMMAND                CREATED
 a9ec34d98787        nginx               "nginx -g 'daemon of   8 minutes ago       Up 8 minutes        0.0.0.0:80->80/tcp, 443/tcp   nginx-app
 $ docker exec a9ec34d98787 cat /etc/hostname
 a9ec34d98787
-
-
 ```
+
 With kubectl:
 
 ```shell
@@ -110,9 +108,8 @@ NAME              READY     STATUS    RESTARTS   AGE
 nginx-app-5jyvm   1/1       Running   0          10m
 $ kubectl exec nginx-app-5jyvm -- cat /etc/hostname
 nginx-app-5jyvm
-
-
 ```
+
 What about interactive commands?
 
 
@@ -120,20 +117,16 @@ With docker:
 
 ```shell
 $ docker exec -ti a9ec34d98787 /bin/sh
-
 # exit
-
-
 ```
+
 With kubectl:
 
 ```shell
 $ kubectl exec -ti nginx-app-5jyvm -- /bin/sh      
-
 # exit
-
-
 ```
+
 For more information see [Getting into containers](getting-into-containers).
 
 #### docker logs
@@ -147,27 +140,24 @@ With docker:
 $ docker logs -f a9e
 192.168.9.1 - - [14/Jul/2015:01:04:02 +0000] "GET / HTTP/1.1" 200 612 "-" "curl/7.35.0" "-"
 192.168.9.1 - - [14/Jul/2015:01:04:03 +0000] "GET / HTTP/1.1" 200 612 "-" "curl/7.35.0" "-"
-
-
 ```
+
 With kubectl:
 
 ```shell
 $ kubectl logs -f nginx-app-zibvs
 10.240.63.110 - - [14/Jul/2015:01:09:01 +0000] "GET / HTTP/1.1" 200 612 "-" "curl/7.26.0" "-"
 10.240.63.110 - - [14/Jul/2015:01:09:02 +0000] "GET / HTTP/1.1" 200 612 "-" "curl/7.26.0" "-"
-
-
 ```
+
 Now's a good time to mention slight difference between pods and containers; by default pods will not terminate if their processes exit. Instead it will restart the process. This is similar to the docker run option `--restart=always` with one major difference. In docker, the output for each invocation of the process is concatenated but for Kubernetes, each invocation is separate. To see the output from a previous run in Kubernetes, do this:
 
 ```shell
 $ kubectl logs --previous nginx-app-zibvs
 10.240.63.110 - - [14/Jul/2015:01:09:01 +0000] "GET / HTTP/1.1" 200 612 "-" "curl/7.26.0" "-"
 10.240.63.110 - - [14/Jul/2015:01:09:02 +0000] "GET / HTTP/1.1" 200 612 "-" "curl/7.26.0" "-"
-
-
 ```
+
 See [Logging](logging) for more information.
 
 #### docker stop and docker rm
@@ -184,9 +174,8 @@ $ docker stop a9ec34d98787
 a9ec34d98787
 $ docker rm a9ec34d98787
 a9ec34d98787
-
-
 ```
+
 With kubectl:
 
 ```shell
@@ -201,9 +190,8 @@ NAME              READY     STATUS    RESTARTS   AGE
 nginx-app-aualv   1/1       Running   0          16s
 $ kubectl get po
 NAME      READY     STATUS    RESTARTS   AGE
-
-
 ```
+
 Notice that we don't delete the pod directly. With kubectl we want to delete the replication controller that owns the pod. If we delete the pod directly, the replication controller will recreate the pod.
 
 #### docker login
@@ -228,18 +216,16 @@ Server API version: 1.19
 Go version (server): go1.4.2
 Git commit (server): 0baf609
 OS/Arch (server): linux/amd64
-
-
 ```
+
 With kubectl:
 
 ```shell
 $ kubectl version
 Client Version: version.Info{Major:"0", Minor:"20.1", GitVersion:"v0.20.1", GitCommit:"", GitTreeState:"not a git tree"}
 Server Version: version.Info{Major:"0", Minor:"21+", GitVersion:"v0.21.1-411-g32699e873ae1ca-dirty", GitCommit:"32699e873ae1caa01812e41de7eab28df4358ee4", GitTreeState:"dirty"}
-
-
 ```
+
 #### docker info
 
 How do I get miscellaneous info about my environment and configuration? Checkout [kubectl cluster-info](kubectl/kubectl_cluster-info).
@@ -264,9 +250,8 @@ Total Memory: 31.32 GiB
 Name: k8s-is-fun.mtv.corp.google.com
 ID: ADUV:GCYR:B3VJ:HMPO:LNPQ:KD5S:YKFQ:76VN:IANZ:7TFV:ZBF4:BYJO
 WARNING: No swap limit support
-
-
 ```
+
 With kubectl:
 
 ```shell
@@ -277,6 +262,4 @@ KubeUI is running at https://108.59.85.141/api/v1/proxy/namespaces/kube-system/s
 Grafana is running at https://108.59.85.141/api/v1/proxy/namespaces/kube-system/services/monitoring-grafana
 Heapster is running at https://108.59.85.141/api/v1/proxy/namespaces/kube-system/services/monitoring-heapster
 InfluxDB is running at https://108.59.85.141/api/v1/proxy/namespaces/kube-system/services/monitoring-influxdb
-
-
 ```

v1.1/docs/user-guide/downward-api.md

@@ -74,13 +74,12 @@ spec:
             fieldRef:
               fieldPath: status.podIP
   restartPolicy: Never
-
 ```
+
 [Download example](downward-api/dapi-pod.yaml)
 <!-- END MUNGE: EXAMPLE downward-api/dapi-pod.yaml -->
 
 
-
 ### Downward API volume
 
 Using a similar syntax it's possible to expose pod information to containers using plain text files.
@@ -89,11 +88,11 @@ volume type and the different items represent the files to be created. `fieldPat
 
 Downward API volume permits to store more complex data like [`metadata.labels`](labels) and [`metadata.annotations`](annotations). Currently key/value pair set fields are saved using `key="value"` format:
 
-```
+```conf
 key1="value1"
 key2="value2"
-
 ```
+
 In future, it will be possible to specify an output format option.
 
 Downward API volumes can expose:
@@ -144,14 +143,12 @@ spec:
           - path: "annotations"
             fieldRef:
               fieldPath: metadata.annotations
-
 ```
+
 [Download example](downward-api/volume/dapi-volume.yaml)
 <!-- END MUNGE: EXAMPLE downward-api/volume/dapi-volume.yaml -->
 
 Some more thorough examples:
+
    * [environment variables](environment-guide/)
    * [downward API](downward-api/)
-
-
-

v1.1/docs/user-guide/downward-api/index.md

@@ -20,8 +20,8 @@ downward API.
 
 ```shell
 $ kubectl create -f docs/user-guide/downward-api/dapi-pod.yaml
-
 ```
+
 ### Examine the logs
 
 This pod runs the `env` command in a container that consumes the downward API.  You can grep
@@ -32,5 +32,4 @@ $ kubectl logs dapi-test-pod | grep POD_
 2015-04-30T20:22:18.568024817Z MY_POD_NAME=dapi-test-pod
 2015-04-30T20:22:18.568087688Z MY_POD_NAMESPACE=default
 2015-04-30T20:22:18.568092435Z MY_POD_IP=10.0.1.6
-
 ```

v1.1/docs/user-guide/downward-api/volume/index.md

@@ -2,7 +2,7 @@
 title: "Downward API volume plugin"
 ---
 Following this example, you will create a pod with a downward API volume.
-A downward API volume is a k8s volume plugin with the ability to save some pod information in a plain text file. The pod information can be  for example some [metadata](..//{{page.version}}/docs/devel/api-conventions.html#metadata).
+A downward API volume is a k8s volume plugin with the ability to save some pod information in a plain text file. The pod information can be  for example some [metadata](/{{page.version}}/docs/devel/api-conventions/#metadata).
 
 Supported metadata fields:
 
@@ -13,7 +13,7 @@ Supported metadata fields:
 
 ### Step Zero: Prerequisites
 
-This example assumes you have a Kubernetes cluster installed and running, and the ```kubectl```
+This example assumes you have a Kubernetes cluster installed and running, and the `kubectl`
 command line tool somewhere in your path. Please see the [gettingstarted](..//{{page.version}}/docs/getting-started-guides/) for installation instructions for your platform.
 
 ### Step One: Create the pod
@@ -22,8 +22,8 @@ Use the `docs/user-guide/downward-api/dapi-volume.yaml` file to create a Pod wit
 
 ```shell
 $ kubectl create -f  docs/user-guide/downward-api/volume/dapi-volume.yaml
-
 ```
+
 ### Step Two: Examine pod/container output
 
 The pod displays (every 5 seconds) the content of the dump files which can be executed via the usual `kubectl log` command
@@ -37,8 +37,8 @@ build="two"
 builder="john-doe"
 kubernetes.io/config.seen="2015-08-24T13:47:23.432459138Z"
 kubernetes.io/config.source="api"
-
 ```
+
 ### Internals
 
 In pod's `/etc` directory one may find the file created by the plugin (system files elided):
@@ -62,6 +62,6 @@ drwxrwxrwt    3 0        0              180 Aug 24 13:03 ..
 -rw-r--r--    1 0        0              115 Aug 24 13:03 annotations
 -rw-r--r--    1 0        0               53 Aug 24 13:03 labels
 / #
-
 ```
+
 The file `labels` is stored in a temporary directory (`..2015_08_24_13_03_44259413923` in the example above) which is symlinked to by `..downwardapi`. Symlinks for annotations and labels in `/etc` point to files containing the actual metadata through the `..downwardapi` indirection.  This structure allows for dynamic atomic refresh of the metadata: updates are written to a new temporary directory, and the `..downwardapi` symlink is updated atomically using `rename(2)`.

v1.1/docs/user-guide/environment-guide/index.md

@@ -27,10 +27,12 @@ The code for the containers is under
 
 ## Get everything running
 
-    kubectl create -f ./backend-rc.yaml
+```shell
-    kubectl create -f ./backend-srv.yaml
+kubectl create -f ./backend-rc.yaml
-    kubectl create -f ./show-rc.yaml
+kubectl create -f ./backend-srv.yaml
-    kubectl create -f ./show-srv.yaml
+kubectl create -f ./show-rc.yaml
+kubectl create -f ./show-srv.yaml
+```
 
 ## Query the service
 
@@ -38,13 +40,13 @@ Use `kubectl describe service show-srv` to determine the public IP of
 your service.
 
 > Note: If your platform does not support external load balancers,
-  you'll need to open the proper port and direct traffic to the
+> you'll need to open the proper port and direct traffic to the
-  internal IP shown for the frontend service with the above command
+> internal IP shown for the frontend service with the above command
 
 Run `curl <public ip>:80` to query the service. You should get
 something like this back:
 
-```
+```shell
 Pod Name: show-rc-xxu6i
 Pod Namespace: default
 USER_VAR: important information
@@ -64,8 +66,8 @@ Response from backend
 Backend Container
 Backend Pod Name: backend-rc-6qiya
 Backend Namespace: default
-
 ```
+
 First the frontend pod's information is printed. The pod name and
 [namespace](/{{page.version}}/docs/design/namespaces) are retrieved from the
 [Downward API](/{{page.version}}/docs/user-guide/downward-api). Next, `USER_VAR` is the name of
@@ -85,8 +87,7 @@ request as well.
 
 ## Cleanup
 
-    kubectl delete rc,service -l type=show-type
+```shell
-    kubectl delete rc,service -l type=backend-type
+kubectl delete rc,service -l type=show-type
-
+kubectl delete rc,service -l type=backend-type
-
+```
-

v1.1/docs/user-guide/getting-into-containers.md

@@ -7,7 +7,6 @@ Developers can use `kubectl exec` to run commands in a container. This guide dem
 
 Kubernetes exposes [services](services.html#environment-variables) through environment variables. It is convenient to check these environment variables using `kubectl exec`.
 
-
 We first create a pod and a service,
 
 ```shell
@@ -21,6 +20,7 @@ $ kubectl get pod
 NAME                 READY     REASON       RESTARTS   AGE
 redis-master-ft9ex   1/1       Running      0          12s
 ```
+
 then we can check the environment variables of the pod,
 
 ```shell
@@ -30,6 +30,7 @@ REDIS_MASTER_SERVICE_PORT=6379
 REDIS_MASTER_SERVICE_HOST=10.0.0.219
 ...
 ```
+
 We can use these environment variables in applications to find the service.
 
 
@@ -41,6 +42,7 @@ We first create a Pod with a volume mounted at /data/redis,
 ```shell
 kubectl create -f docs/user-guide/walkthrough/pod-redis.yaml
 ```
+
 wait until the pod is Running and Ready,
 
 ```shell
@@ -48,12 +50,14 @@ $ kubectl get pods
 NAME      READY     REASON    RESTARTS   AGE
 storage   1/1       Running   0          1m
 ```
+
 we then use `kubectl exec` to verify that the volume is mounted at /data/redis,
 
 ```shell
 $ kubectl exec storage ls /data
 redis
 ```
+
 ## Using kubectl exec to open a bash terminal in a pod
 
 After all, open a terminal in a pod is the most direct way to introspect the pod. Assuming the pod/storage is still running, run
@@ -62,4 +66,5 @@ After all, open a terminal in a pod is the most direct way to introspect the pod
 $ kubectl exec -ti storage -- bash
 root@storage:/data#
 ```
+
 This gets you a terminal.

v1.1/docs/user-guide/horizontal-pod-autoscaling/index.md

@@ -32,8 +32,8 @@ replicationcontroller "php-apache" created
 
 $ kubectl expose rc php-apache --port=80 --type=LoadBalancer
 service "php-apache" exposed
-
 ```
+
 Now, we will wait some time and verify that both the replication controller and the service were correctly created and are running. We will also determine the IP address of the service:
 
 ```shell
@@ -43,15 +43,15 @@ php-apache-wa3t1   1/1       Running   0          12m
 
 $ kubectl describe services php-apache | grep "LoadBalancer Ingress"
 LoadBalancer Ingress:	146.148.24.244
-
 ```
-We may now check that php-apache server works correctly by calling ``curl`` with the service's IP:
+
+We may now check that php-apache server works correctly by calling `curl` with the service's IP:
 
 ```shell
 $ curl http://146.148.24.244
 OK!
-
 ```
+
 Please notice that when exposing the service we assumed that our cluster runs on a provider which supports load balancers (e.g.: on GCE).
 If load balancers are not supported (e.g.: on Vagrant), we can expose php-apache service as ``ClusterIP`` and connect to it using the proxy on the master:
 
@@ -64,8 +64,8 @@ Kubernetes master is running at https://146.148.6.215
 
 $ curl -k -u <admin>:<password> https://146.148.6.215/api/v1/proxy/namespaces/default/services/php-apache/
 OK!
-
 ```
+
 ## Step Two: Create horizontal pod autoscaler
 
 Now that the server is running, we will create a horizontal pod autoscaler for it.
@@ -86,8 +86,8 @@ spec:
   maxReplicas: 10
   cpuUtilization:
     targetPercentage: 50
-
 ```
+
 This defines a horizontal pod autoscaler that maintains between 1 and 10 replicas of the Pods
 controlled by the php-apache replication controller we created in the first step of these instructions.
 Roughly speaking, the horizontal autoscaler will increase and decrease the number of replicas
@@ -100,24 +100,24 @@ We will create the autoscaler by executing the following command:
 ```shell
 $ kubectl create -f docs/user-guide/horizontal-pod-autoscaling/hpa-php-apache.yaml
 horizontalpodautoscaler "php-apache" created
-
 ```
+
 Alternatively, we can create the autoscaler using [kubectl autoscale](../kubectl/kubectl_autoscale).
 The following command will create the equivalent autoscaler as defined in the [hpa-php-apache.yaml](hpa-php-apache.yaml) file:
 
-```
+```shell
 $ kubectl autoscale rc php-apache --cpu-percent=50 --min=1 --max=10
 replicationcontroller "php-apache" autoscaled
-
 ```
+
 We may check the current status of autoscaler by running:
 
 ```shell
 $ kubectl get hpa
 NAME         REFERENCE                                   TARGET    CURRENT   MINPODS   MAXPODS   AGE
 php-apache   ReplicationController/default/php-apache/   50%       0%        1         10        27s
-
 ```
+
 Please note that the current CPU consumption is 0% as we are not sending any requests to the server
 (the ``CURRENT`` column shows the average across all the pods controlled by the corresponding replication controller).
 
@@ -128,16 +128,16 @@ We will start an infinite loop of queries to our server (please run it in a diff
 
 ```shell
 $ while true; do curl http://146.148.6.244; done
-
 ```
+
 We may examine, how CPU load was increased (the results should be visible after about 3-4 minutes) by executing:
 
 ```shell
 $ kubectl get hpa
 NAME         REFERENCE                                   TARGET    CURRENT   MINPODS   MAXPODS   AGE
 php-apache   ReplicationController/default/php-apache/   50%       305%      1         10        4m
-
 ```
+
 In the case presented here, it bumped CPU consumption to 305% of the request.
 As a result, the replication controller was resized to 7 replicas:
 
@@ -145,14 +145,14 @@ As a result, the replication controller was resized to 7 replicas:
 $ kubectl get rc
 CONTROLLER   CONTAINER(S)   IMAGE(S)                               SELECTOR         REPLICAS   AGE
 php-apache   php-apache     gcr.io/google_containers/hpa-example   run=php-apache   7          18m
-
 ```
+
 Now, we may increase the load even more by running yet another infinite loop of queries (in yet another terminal):
 
 ```shell
 $ while true; do curl http://146.148.6.244; done
-
 ```
+
 In the case presented here, it increased the number of serving pods to 10:
 
 ```shell
@@ -163,11 +163,12 @@ php-apache   ReplicationController/default/php-apache/   50%       65%       1
 $ kubectl get rc
 CONTROLLER   CONTAINER(S)   IMAGE(S)                               SELECTOR         REPLICAS   AGE
 php-apache   php-apache     gcr.io/google_containers/hpa-example   run=php-apache   10         24m
-
 ```
+
 ## Step Four: Stop load
 
 We will finish our example by stopping the user load.
+
 We will terminate both infinite ``while`` loops sending requests to the server and verify the result state:
 
 ```shell
@@ -178,9 +179,6 @@ php-apache   ReplicationController/default/php-apache/   50%       0%        1
 $ kubectl get rc
 CONTROLLER   CONTAINER(S)   IMAGE(S)                               SELECTOR         REPLICAS   AGE
 php-apache   php-apache     gcr.io/google_containers/hpa-example   run=php-apache   1          31m
-
 ```
+
 As we see, in the presented case CPU utilization dropped to 0, and the number of replicas dropped to 1.
-
-
-

v1.1/docs/user-guide/images.md

@@ -21,6 +21,7 @@ your image.
 
 Private registries may require keys to read images from them.
 Credentials can be provided in several ways:
+
   - Using Google Container Registry
     - Per-cluster
     - automatically configured on Google Compute Engine or Google Container Engine
@@ -64,6 +65,7 @@ in the `$HOME` of `root` on a kubelet, then docker will use it.
 
 Here are the recommended steps to configuring your nodes to use a private registry.  In this
 example, run these on your desktop/laptop:
+
    1. run `docker login [server]` for each set of credentials you want to use.
    1. view `$HOME/.dockercfg` in an editor to ensure it contains just the credentials you want to use.
    1. get a list of your nodes
@@ -89,22 +91,22 @@ EOF
 $ kubectl create -f /tmp/private-image-test-1.yaml
 pods/private-image-test-1
 $
-
 ```
+
 If everything is working, then, after a few moments, you should see:
 
 ```shell
 $ kubectl logs private-image-test-1
 SUCCESS
-
 ```
+
 If it failed, then you will see:
 
 ```shell
 $ kubectl describe pods/private-image-test-1 | grep "Failed"
   Fri, 26 Jun 2015 15:36:13 -0700	Fri, 26 Jun 2015 15:39:13 -0700	19	{kubelet node-i2hq}	spec.containers{uses-private-image}	failed		Failed to pull image "user/privaterepo:v1": Error: image user/privaterepo:v1 not found
-
 ```
+
 You must ensure all nodes in the cluster have the same `.dockercfg`.  Otherwise, pods will run on
 some nodes and fail to run on others.  For example, if you use node autoscaling, then each instance
 template needs to include the `.dockercfg` or mount a drive that contains it.
@@ -172,8 +174,8 @@ EOF
 $ kubectl create -f /tmp/image-pull-secret.yaml
 secrets/myregistrykey
 $
-
 ```
+
 If you get the error message `error: no objects passed to create`, it may mean the base64 encoded string is invalid.
 If you get an error message like `Secret "myregistrykey" is invalid: data[.dockercfg]: invalid value ...` it means
 the data was successfully un-base64 encoded, but could not be parsed as a dockercfg file.
@@ -194,8 +196,8 @@ spec:
       image: janedoe/awesomeapp:v1
   imagePullSecrets:
     - name: myregistrykey
-
 ```
+
 This needs to be done for each pod that is using a private registry.
 However, setting of this field can be automated by setting the imagePullSecrets
 in a [serviceAccount](service-accounts) resource.

v1.1/docs/user-guide/ingress.md

@@ -22,8 +22,8 @@ internet
         |
   ------------
   [ Services ]
-
 ```
+
 An Ingress is a collection of rules that allow inbound connections to reach the cluster services.
 
 ```
@@ -32,13 +32,14 @@ internet
    [ Ingress ]
    --|-----|--
    [ Services ]
-
 ```
+
 It can be configured to give services externally-reachable urls, load balance traffic, terminate SSL, offer name based virtual hosting etc. Users request ingress by POSTing the Ingress resource to the API server. An [Ingress controller](#ingress-controllers) is responsible for fulfilling the Ingress, usually with a loadbalancer, though it may also configure your edge router or additional frontends to help handle the traffic in an HA manner.
 
 ## Prerequisites
 
 Before you start using the Ingress resource, there are a few things you should understand:
+
 * The Ingress resource is not available in any Kubernetes release prior to 1.1
 * You need an Ingress controller to satisfy an Ingress. Simply creating the resource will have no effect.
 * On GCE/GKE there should be a [L7 cluster addon](https://releases.k8s.io/release-1.1/cluster/addons/cluster-loadbalancing/glbc/README.md#prerequisites), on other platforms you either need to write your own or [deploy an existing controller](https://github.com/kubernetes/contrib/tree/master/Ingress) as a pod.
@@ -49,20 +50,20 @@ Before you start using the Ingress resource, there are a few things you should u
 A minimal Ingress might look like:
 
 ```yaml
-01. apiVersion: extensions/v1beta1
+apiVersion: extensions/v1beta1
-02. kind: Ingress
+kind: Ingress
-03. metadata:
+metadata:
-04.  name: test-ingress
+name: test-ingress
-05. spec:
+spec:
-06.  rules:
+rules:
-07.  - http:
+- http:
-08.      paths:
+    paths:
-09.      - path: /testpath
+    - path: /testpath
-10.        backend:
+    backend:
-11.          serviceName: test
+        serviceName: test
-12.          servicePort: 80
+        servicePort: 80
-
 ```
+
 *POSTing this to the API server will have no effect if you have not configured an [Ingress controller](#ingress-controllers).*
 
 __Lines 1-4__: As with all other Kubernetes config, an Ingress needs `apiVersion`, `kind`, and `metadata` fields.  For general information about working with config files, see [here](simple-yaml), [here](configuring-containers), and [here](working-with-resources).
@@ -96,8 +97,8 @@ spec:
   backend:
     serviceName: testsvc
     servicePort: 80
-
 ```
+
 [Download example](ingress.yaml)
 <!-- END MUNGE: EXAMPLE ingress.yaml -->
 
@@ -107,19 +108,19 @@ If you create it using `kubectl -f` you should see:
 $ kubectl get ing
 NAME                RULE          BACKEND        ADDRESS
 test-ingress        -             testsvc:80     107.178.254.228
-
 ```
+
 Where `107.178.254.228` is the IP allocated by the Ingress controller to satisfy this Ingress. The `RULE` column shows that all traffic send to the IP is directed to the Kubernetes Service listed under `BACKEND`.
 
 ### Simple fanout
 
 As described previously, pods within kubernetes have ips only visible on the cluster network, so we need something at the edge accepting ingress traffic and proxying it to the right endpoints. This component is usually a highly available loadbalancer/s. An Ingress allows you to keep the number of loadbalancers down to a minimum, for example, a setup like:
 
-```
+```shell
 foo.bar.com -> 178.91.123.132 -> / foo    s1:80
                                  / bar    s2:80
-
 ```
+
 would require an Ingress such as:
 
 ```yaml
@@ -140,18 +141,17 @@ spec:
         backend:
           serviceName: s2
           servicePort: 80
-
 ```
+
 When you create the Ingress with `kubectl create -f`:
 
-```
+```shell
 $ kubectl get ing
 NAME      RULE          BACKEND   ADDRESS
 test      -
           foo.bar.com
           /foo          s1:80
           /bar          s2:80
-
 ```
 The Ingress controller will provision an implementation specific loadbalancer that satisfies the Ingress, as long as the services (s1, s2) exist. When it has done so, you will see the address of the loadbalancer under the last column of the Ingress.
 
@@ -163,8 +163,8 @@ Name-based virtual hosts use multiple host names for the same IP address.
 foo.bar.com --|                 |-> foo.bar.com s1:80
               | 178.91.123.132  |
 bar.foo.com --|                 |-> bar.foo.com s2:80
-
 ```
+
 The following Ingress tells the backing loadbalancer to route requests based on the [Host header](https://tools.ietf.org/html/rfc7230#section-5.4).
 
 ```yaml
@@ -186,8 +186,8 @@ spec:
       - backend:
           serviceName: s2
           servicePort: 80
-
 ```
+
 __Default Backends__: An Ingress with no rules, like the one shown in the previous section, sends all traffic to a single default backend. You can use the same technique to tell a loadbalancer where to find your website's 404 page, by specifying a set of rules *and* a default backend. Traffic is routed to your default backend if none of the Hosts in your Ingress match the Host in the request header, and/or none of the paths match the url of the request.
 
 ### Loadbalancing
@@ -207,8 +207,8 @@ test      -                       178.91.123.132
           foo.bar.com
           /foo          s1:80
 $ kubectl edit ing test
-
 ```
+
 This should pop up an editor with the existing yaml, modify it to include the new Host.
 
 ```yaml
@@ -229,8 +229,8 @@ spec:
           servicePort: 80
         path: /foo
 ..
-
 ```
+
 saving it will update the resource in the API server, which should tell the Ingress controller to reconfigure the loadbalancer.
 
 ```shell
@@ -241,8 +241,8 @@ test      -                       178.91.123.132
           /foo          s1:80
           bar.baz.com
           /foo          s2:80
-
 ```
+
 You can achieve the same by invoking `kubectl replace -f` on a modified Ingress yaml file.
 
 ## Future Work
@@ -257,6 +257,7 @@ Please track the [L7 and Ingress proposal](https://github.com/kubernetes/kuberne
 ## Alternatives
 
 You can expose a Service in multiple ways that don't directly involve the Ingress resource:
+
 * Use [Service.Type=LoadBalancer](https://github.com/kubernetes/kubernetes/blob/release-1.0/docs/user-guide/services.md#type-loadbalancer)
 * Use [Service.Type=NodePort](https://github.com/kubernetes/kubernetes/blob/release-1.0/docs/user-guide/services.md#type-nodeport)
 * Use a [Port Proxy] (https://github.com/kubernetes/contrib/tree/master/for-demos/proxy-to-service)

v1.1/docs/user-guide/introspection-and-debugging.md

@@ -32,20 +32,20 @@ spec:
             cpu: "500m"
         ports:
         - containerPort: 80
-
 ```
+
 ```shell
 $ kubectl create -f ./my-nginx-rc.yaml
 replicationcontrollers/my-nginx
-
 ```
+
 ```shell
 $ kubectl get pods
 NAME             READY     REASON    RESTARTS   AGE
 my-nginx-gy1ij   1/1       Running   0          1m
 my-nginx-yv5cn   1/1       Running   0          1m
-
 ```
+
 We can retrieve a lot more information about each of these pods using `kubectl describe pod`. For example:
 
 ```shell
@@ -81,8 +81,8 @@ Events:
   Thu, 09 Jul 2015 15:33:06 -0700	Thu, 09 Jul 2015 15:33:06 -0700	1	{kubelet kubernetes-minion-y3vk}	spec.containers{nginx}			pulled		Successfully pulled image "nginx"
   Thu, 09 Jul 2015 15:33:06 -0700	Thu, 09 Jul 2015 15:33:06 -0700	1	{kubelet kubernetes-minion-y3vk}	spec.containers{nginx}			created		Created with docker id 56d7a7b14dac
   Thu, 09 Jul 2015 15:33:07 -0700	Thu, 09 Jul 2015 15:33:07 -0700	1	{kubelet kubernetes-minion-y3vk}	spec.containers{nginx}			started		Started with docker id 56d7a7b14dac
-
 ```
+
 Here you can see configuration information about the container(s) and Pod (labels, resource requirements, etc.), as well as status information about the container(s) and Pod (state, readiness, restart count, events, etc.)
 
 The container state is one of Waiting, Running, or Terminated. Depending on the state, additional information will be provided -- here you can see that for a container in Running state, the system tells you when the container started.
@@ -107,8 +107,8 @@ my-nginx-b7zs9   0/1       Running   0          8s
 my-nginx-i595c   0/1       Running   0          8s
 my-nginx-iichp   0/1       Running   0          8s
 my-nginx-tc2j9   0/1       Running   0          8s
-
 ```
+
 To find out why the my-nginx-9unp9 pod is not running, we can use `kubectl describe pod` on the pending Pod and look at its events:
 
 ```shell
@@ -134,24 +134,24 @@ Containers:
 Events:
   FirstSeen				LastSeen			Count	From		SubobjectPath	Reason			Message
   Thu, 09 Jul 2015 23:56:21 -0700	Fri, 10 Jul 2015 00:01:30 -0700	21	{scheduler }			failedScheduling	Failed for reason PodFitsResources and possibly others
-
 ```
+
 Here you can see the event generated by the scheduler saying that the Pod failed to schedule for reason `PodFitsResources` (and possibly others). `PodFitsResources` means there were not enough resources for the Pod on any of the nodes. Due to the way the event is generated, there may be other reasons as well, hence "and possibly others."
 
 To correct this situation, you can use `kubectl scale` to update your Replication Controller to specify four or fewer replicas. (Or you could just leave the one Pod pending, which is harmless.)
 
 Events such as the ones you saw at the end of `kubectl describe pod` are persisted in etcd and provide high-level information on what is happening in the cluster. To list all events you can use
 
-```
+```shell
 kubectl get events
-
 ```
+
 but you have to remember that events are namespaced. This means that if you're interested in events for some namespaced object (e.g. what happened with Pods in namespace `my-namespace`) you need to explicitly provide a namespace to the command:
 
-```
+```shell
 kubectl get events --namespace=my-namespace
-
 ```
+
 To see events from all namespaces, you can use the `--all-namespaces` argument.
 
 In addition to `kubectl describe pod`, another way to get extra information about a pod (beyond what is provided by `kubectl get pod`) is to pass the `-o yaml` output format flag to `kubectl get pod`. This will give you, in YAML format, even more information than `kubectl describe pod`--essentially all of the information the system has about the Pod. Here you will see things like annotations (which are key-value metadata without the label restrictions, that is used internally by Kubernetes system components), restart policy, ports, and volumes.
@@ -216,8 +216,8 @@ status:
   phase: Running
   podIP: 10.244.3.4
   startTime: 2015-07-10T06:56:21Z
-
 ```
+
 ## Example: debugging a down/unreachable node
 
 Sometimes when debugging it can be useful to look at the status of a node -- for example, because you've noticed strange behavior of a Pod that's running on the node, or to find out why a Pod won't schedule onto the node. As with Pods, you can use `kubectl describe node` and `kubectl get node -o yaml` to retrieve detailed information about nodes. For example, here's what you'll see if a node is down (disconnected from the network, or kubelet dies and won't restart, etc.). Notice the events that show the node is NotReady, and also notice that the pods are no longer running (they are evicted after five minutes of NotReady status).
@@ -301,16 +301,15 @@ status:
     machineID: ""
     osImage: Debian GNU/Linux 7 (wheezy)
     systemUUID: ABE5F6B4-D44B-108B-C46A-24CCE16C8B6E
-
 ```
+
 ## What's next?
 
 Learn about additional debugging tools, including:
+
 * [Logging](logging)
 * [Monitoring](monitoring)
 * [Getting into containers via `exec`](getting-into-containers)
 * [Connecting to containers via proxies](connecting-to-applications-proxy)
 * [Connecting to containers via port forwarding](connecting-to-applications-port-forward)
 
-
-

v1.1/docs/user-guide/jobs.md

@@ -39,8 +39,8 @@ spec:
         image: perl
         command: ["perl",  "-Mbignum=bpi", "-wle", "print bpi(2000)"]
       restartPolicy: Never
-
 ```
+
 [Download example](job.yaml)
 <!-- END MUNGE: EXAMPLE job.yaml -->
 
@@ -49,8 +49,8 @@ Run the example job by downloading the example file and then running this comman
 ```shell
 $ kubectl create -f ./job.yaml
 jobs/pi
-
 ```
+
 Check on the status of the job using this command:
 
 ```shell
@@ -67,9 +67,8 @@ Events:
   FirstSeen	LastSeen	Count	From	SubobjectPath	Reason			Message
   '��'��'��'��'��'��'��'��'��	'��'��'��'��'��'��'��'��	'��'��'��'��'��	'��'��'��'��	'��'��'��'��'��'��'��'��'��'��'��'��'��	'��'��'��'��'��'��			'��'��'��'��'��'��'��
   1m		1m		1	{job }			SuccessfulCreate	Created pod: pi-z548a
-
-
 ```
+
 To view completed pods of a job, use `kubectl get pods --show-all`.  The `--show-all` will show completed pods too.
 
 To list all the pods that belong to job in a machine readable form, you can use a command like this:
@@ -78,8 +77,8 @@ To list all the pods that belong to job in a machine readable form, you can use
 $ pods=$(kubectl get pods --selector=app=pi --output=jsonpath={.items..metadata.name})
 echo $pods
 pi-aiw0a
-
 ```
+
 Here, the selector is the same as the selector for the job.  The `--output=jsonpath` option specifies an expression
 that just gets the name from each pod in the returned list.
 
@@ -88,8 +87,8 @@ View the standard output of one of the pods:
 ```shell
 $ kubectl logs pi-aiw0a
 3.1415926535897932384626433832795028841971693993751058209749445923078164062862089986280348253421170679821480865132823066470938446095505822317253594081284811174502841027019385211055596446229489549303819644288109756659334461284756482337867831652712019091456485669234603486104543266482133936072602491412737245870066063155881748815209209628292540917153643678925903600113305305488204665213841469519415116094330572703657595919530921861173819326117931051185480744623799627495673518857527248912279381830119491298336733624406566430860213949463952247371907021798609437027705392171762931767523846748184676694051320005681271452635608277857713427577896091736371787214684409012249534301465495853710507922796892589235420199561121290219608640344181598136297747713099605187072113499999983729780499510597317328160963185950244594553469083026425223082533446850352619311881710100031378387528865875332083814206171776691473035982534904287554687311595628638823537875937519577818577805321712268066130019278766111959092164201989380952572010654858632788659361533818279682303019520353018529689957736225994138912497217752834791315155748572424541506959508295331168617278558890750983817546374649393192550604009277016711390098488240128583616035637076601047101819429555961989467678374494482553797747268471040475346462080466842590694912933136770289891521047521620569660240580381501935112533824300355876402474964732639141992726042699227967823547816360093417216412199245863150302861829745557067498385054945885869269956909272107975093029553211653449872027559602364806654991198818347977535663698074265425278625518184175746728909777727938000816470600161452491921732172147723501414419735685481613611573525521334757418494684385233239073941433345477624168625189835694855620992192221842725502542568876717904946016534668049886272327917860857843838279679766814541009538837863609506800642251252051173929848960841284886269456042419652850222106611863067442786220391949450471237137869609563643719172874677646575739624138908658326459958133904780275901
-
 ```
+
 ## Writing a Job Spec
 
 As with all other Kubernetes config, a Job needs `apiVersion`, `kind`, and `metadata` fields.  For
@@ -116,6 +115,7 @@ Only a [`RestartPolicy`](pod-states) equal to `Never` or `OnFailure` are allowed
 The `.spec.selector` field is a label query over a set of pods.
 
 The `spec.selector` is an object consisting of two fields:
+
 * `matchLabels` - works the same as the `.spec.selector` of a [ReplicationController](replication-controller)
 * `matchExpressions` - allows to build more sophisticated selectors by specyfing key,
   list of values and an operator that relates the key and values.

v1.1/docs/user-guide/jsonpath.md

@@ -8,7 +8,6 @@ And we add three functions in addition to the original JSONPath syntax:
 2. We can use `""` to quote text inside JSONPath expression.
 3. We can use `range` operator to iterate list.
 
-
 The result object is printed as its String() function.
 
 Given the input:
@@ -48,8 +47,8 @@ Given the input:
     }
   ]
 }
-
 ```
+
 Function | Description        | Example            | Result
 ---------|--------------------|--------------------|------------------
 text     | the plain text     | kind is {.kind}    | kind is List

v1.1/docs/user-guide/kubeconfig-file.md

@@ -61,6 +61,7 @@ users:
     client-certificate: path/to/my/client/cert
     client-key: path/to/my/client/key
 ```
+
 ### Building your own kubeconfig file
 
 NOTE, that if you are deploying k8s via kube-up.sh, you do not need to create your own kubeconfig files, the script will do it for you.
@@ -71,10 +72,11 @@ So, lets do a quick walk through the basics of the above file so you can easily
 
 The above file would likely correspond to an api-server which was launched using the `--token-auth-file=tokens.csv` option, where the tokens.csv file looked something like this:
 
-```
+```conf
 blue-user,blue-user,1
 mister-red,mister-red,2
 ```
+
 Also, since we have other users who validate using **other** mechanisms, the api-server would have probably been launched with other authentication options (there are many such options, make sure you understand which ones YOU care about before crafting a kubeconfig file, as nobody needs to implement all the different permutations of possible authentication schemes).
 
 - Since the user for the current context is "green-user", any client of the api-server using this kubeconfig file would naturally be able to log in succesfully, because we are providigin the green-user's client credentials.
@@ -132,6 +134,7 @@ $ kubectl config use-context default-context
 $ kubectl config set contexts.default-context.namespace the-right-prefix
 $ kubectl config view
 ```
+
 produces this output
 
 ```yaml
@@ -155,6 +158,7 @@ users:
     password: secret
     username: admin
 ```
+
 and a kubeconfig file that looks like this
 
 ```yaml
@@ -178,6 +182,7 @@ users:
     password: secret
     username: admin
 ```
+
 #### Commands for the example file
 
 ```shell
@@ -191,6 +196,7 @@ $ kubectl config set-context queen-anne-context --cluster=pig-cluster --user=bla
 $ kubectl config set-context federal-context --cluster=horse-cluster --user=green-user --namespace=chisel-ns
 $ kubectl config use-context federal-context
 ```
+
 ### Final notes for tying it all together
 
 So, tying this all together, a quick start to creating your own kubeconfig file:
@@ -200,8 +206,3 @@ So, tying this all together, a quick start to creating your own kubeconfig file:
 - Replace the snippet above with information for your cluster's api-server endpoint.
 
 - Make sure your api-server is launched in such a way that at least one user (i.e. green-user) credentials are provided to it.  You will of course have to look at api-server documentation in order to determine the current state-of-the-art in terms of providing authentication details.
-
-
-
-
-

v1.1/docs/user-guide/kubectl-overview.md

@@ -9,25 +9,26 @@ TODO: Auto-generate this file to ensure it's always in sync with any `kubectl` c
 
 Use the following syntax to run `kubectl` commands from your terminal window:
 
-```
+```shell
 kubectl [command] [TYPE] [NAME] [flags]
-
 ```
+
 where `command`, `TYPE`, `NAME`, and `flags` are:
 
 * `command`: Specifies the operation that you want to perform on one or more resources, for example `create`, `get`, `describe`, `delete`.
 * `TYPE`: Specifies the [resource type](#resource-types). Resource types are case-sensitive and you can specify the singular, plural, or abbreviated forms. For example, the following commands produce the same output:
 
-   ```
+```shell
 $ kubectl get pod pod1
-    $ kubectl get pods pod1
+$ kubectl get pods pod1
-    $ kubectl get po pod1
+$ kubectl get po pod1
+```
 
-   ```
 * `NAME`: Specifies the name of the resource. Names are case-sensitive. If the name is omitted, details for all resources are displayed, for example `$ kubectl get pods`.
 
-   When performing an operation on multiple resources, you can specify each resource by type and name or specify one or more files:
+When performing an operation on multiple resources, you can specify each resource by type and name or specify one or more files:
-   * To specify resources by type and name:
+
+* To specify resources by type and name:
 	    * To group resources if they are all the same type: `TYPE1 name1 name2 name<#>`<br/>
         Example: `$ kubectl get pod example-pod1 example-pod2`
         * To specify multiple resource types individually: `TYPE1/name1 TYPE1/name2 TYPE2/name3 TYPE<#>/name<#>`<br/>
@@ -35,7 +36,8 @@ $ kubectl get pod pod1
    * To specify resources with one or more files: `-f file1 -f file2 -f file<#>`
 	 [Use YAML rather than JSON](config-best-practices) since YAML tends to be more user-friendly, especially for configuration files.<br/>
      Example: `$ kubectl get pod -f ./pod.yaml`
-* `flags`: Specifies optional flags. For example, you can use the `-s` or `--server` flags to specify the address and port of the Kubernetes API server.<br/>
+* `flags`: Specifies optional flags. For example, you can use the `-s` or `--server` flags to specify the address and port of the Kubernetes API server.
+
 **Important**: Flags that you specify from the command line override default values and any corresponding environment variables.
 
 If you need help, just run `kubectl help` from the terminal window.
@@ -107,10 +109,10 @@ The default output format for all `kubectl` commands is the human readable plain
 
 #### Syntax
 
-```
+```shell
 kubectl [command] [TYPE] [NAME] -o=<output_format>
-
 ```
+
 Depending on the `kubectl` operation, the following output formats are supported:
 
 Output format | Description
@@ -138,42 +140,41 @@ To define custom columns and output only the details that you want into a table,
 
 ##### Examples
 
- * Inline:
+Inline:
 
 ```shell
 $ kubectl get pods <pod-name> -o=custom-columns=NAME:.metadata.name,RSRC:.metadata.resourceVersion
-
 ```
-* Template file:
+
+Template file:
 
 ```shell
 $ kubectl get pods <pod-name> -o=custom-columns-file=template.txt
-
 ```
+
 where the `template.txt` file contains:
 
-     ```
+```
 NAME                    RSRC
       metadata.name           metadata.resourceVersion
-
+```
-     ```
 The result of running either command is:
 
 ```shell
 NAME           RSRC
 submit-queue   610995
-
 ```
+
 ### Sorting list objects
 
 To output objects to a sorted list in your terminal window, you can add the `--sort-by` flag to a supported `kubectl` command. Sort your objects by specifying any numeric or string field with the `--sort-by` flag. To specify a field, use a [jsonpath](jsonpath) expression.
 
 #### Syntax
 
-```
+```shell
 kubectl [command] [TYPE] [NAME] --sort-by=<jsonpath_exp>
-
 ```
+
 ##### Example
 
 To print a list of pods sorted by name, you run:
@@ -184,72 +185,84 @@ To print a list of pods sorted by name, you run:
 
 Use the following set of examples to help you familiarize yourself with running the commonly used `kubectl` operations:
 
- * `kubectl create` - Create a resource from a file or stdin.
+`kubectl create` - Create a resource from a file or stdin.
 
-		// Create a service using the definition in example-service.yaml.
+```shell
-		$ kubectl create -f example-service.yaml
+// Create a service using the definition in example-service.yaml.
+$ kubectl create -f example-service.yaml
 
-		// Create a replication controller using the definition in example-controller.yaml.
+// Create a replication controller using the definition in example-controller.yaml.
-		$ kubectl create -f example-controller.yaml
+$ kubectl create -f example-controller.yaml
 
-		// Create the objects that are defined in any .yaml, .yml, or .json file within the <directory> directory.
+// Create the objects that are defined in any .yaml, .yml, or .json file within the <directory> directory.
-		$ kubectl create -f <directory>
+$ kubectl create -f <directory>
+```
 
- * `kubectl get` - List one or more resources.
+`kubectl get` - List one or more resources.
 
-		// List all pods in plain-text output format.
+```shell
-		$ kubectl get pods
+// List all pods in plain-text output format.
+$ kubectl get pods
 
-		// List all pods in plain-text output format and includes additional information (such as node name).
+// List all pods in plain-text output format and includes additional information (such as node name).
-		$ kubectl get pods -o wide
+$ kubectl get pods -o wide
 
-		// List the replication controller with the specified name in plain-text output format. Tip: You can shorten and replace the 'replicationcontroller' resource type with the alias 'rc'.
+// List the replication controller with the specified name in plain-text output format. Tip: You can shorten and replace the 'replicationcontroller' resource type with the alias 'rc'.
-		$ kubectl get replicationcontroller <rc-name>
+$ kubectl get replicationcontroller <rc-name>
 
-		// List all replication controllers and services together in plain-text output format.
+// List all replication controllers and services together in plain-text output format.
-		$ kubectl get rc,services
+$ kubectl get rc,services
+```
 
- * `kubectl describe` - Display detailed state of one or more resources.
+`kubectl describe` - Display detailed state of one or more resources.
 
-		// Display the details of the node with name <node-name>.
+```shell
-		$ kubectl describe nodes <node-name>
+// Display the details of the node with name <node-name>.
+$ kubectl describe nodes <node-name>
 
-		// Display the details of the pod with name <pod-name>.
+// Display the details of the pod with name <pod-name>.
-		$ kubectl describe pods/<pod-name>
+$ kubectl describe pods/<pod-name>
 
-		// Display the details of all the pods that are managed by the replication controller named <rc-name>.
+// Display the details of all the pods that are managed by the replication controller named <rc-name>.
-		// Remember: Any pods that are created by the replication controller get prefixed with the name of the replication controller.
+// Remember: Any pods that are created by the replication controller get prefixed with the name of the replication controller.
-		$ kubectl describe pods <rc-name>
+$ kubectl describe pods <rc-name>
+```
 
- * `kubectl delete` - Delete resources either from a file, stdin, or specifying label selectors, names, resource selectors, or resources.
+`kubectl delete` - Delete resources either from a file, stdin, or specifying label selectors, names, resource selectors, or resources.
 
-		// Delete a pod using the type and name specified in the pod.yaml file.
+```shell
-		$ kubectl delete -f pod.yaml
+// Delete a pod using the type and name specified in the pod.yaml file.
+$ kubectl delete -f pod.yaml
 
-		// Delete all the pods and services that have the label name=<label-name>.
+// Delete all the pods and services that have the label name=<label-name>.
-		$ kubectl delete pods,services -l name=<label-name>
+$ kubectl delete pods,services -l name=<label-name>
 
-		// Delete all pods.
+// Delete all pods.
-		$ kubectl delete pods --all
+$ kubectl delete pods --all
+```
 
- * `kubectl exec` - Execute a command against a container in a pod.
+`kubectl exec` - Execute a command against a container in a pod.
 
-		// Get output from running 'date' from pod <pod-name>. By default, output is from the first container.
+```shell
-		$ kubectl exec <pod-name> date
+// Get output from running 'date' from pod <pod-name>. By default, output is from the first container.
+$ kubectl exec <pod-name> date
 
-		// Get output from running 'date' in container <container-name> of pod <pod-name>.
+// Get output from running 'date' in container <container-name> of pod <pod-name>.
-		$ kubectl exec <pod-name> -c <container-name> date
+$ kubectl exec <pod-name> -c <container-name> date
 
-		// Get an interactive TTY and run /bin/bash from pod <pod-name>. By default, output is from the first container.
+// Get an interactive TTY and run /bin/bash from pod <pod-name>. By default, output is from the first container.
-		$ kubectl exec -ti <pod-name> /bin/bash
+$ kubectl exec -ti <pod-name> /bin/bash
+```
 
- * `kubectl logs` - Print the logs for a container in a pod.
+`kubectl logs` - Print the logs for a container in a pod.
 
-		// Return a snapshot of the logs from pod <pod-name>.
+```shell
-		$ kubectl logs <pod-name>
+// Return a snapshot of the logs from pod <pod-name>.
+$ kubectl logs <pod-name>
 
-		// Start streaming the logs from pod <pod-name>. This is similiar to the 'tail -f' Linux command.
+// Start streaming the logs from pod <pod-name>. This is similiar to the 'tail -f' Linux command.
-		$ kubectl logs -f <pod-name>
+$ kubectl logs -f <pod-name>
+```
 
 
 ## Next steps

v1.1/docs/user-guide/labels.md

@@ -11,8 +11,8 @@ Each object can have a set of key/value labels defined.  Each Key must be unique
   "key1" : "value1",
   "key2" : "value2"
 }
-
 ```
+
 We'll eventually index and reverse-index labels for efficient queries and watches, use them to sort and group in UIs and CLIs, etc. We don't want to pollute labels with non-identifying, especially large and/or structured, data. Non-identifying information should be recorded using [annotations](annotations).
 
 {% include pagetoc.html %}
@@ -61,8 +61,8 @@ Three kinds of operators are admitted `=`,`==`,`!=`. The first two represent _eq
 ```
 environment = production
 tier != frontend
-
 ```
+
 The former selects all resources with key equal to `environment` and value equal to `production`.
 The latter selects all resources with key equal to `tier` and value distinct from `frontend`, and all resources with no labels with the `tier` key.
 One could filter for resources in `production` excluding `frontend` using the comma operator: `environment=production,tier!=frontend`
@@ -77,8 +77,8 @@ environment in (production, qa)
 tier notin (frontend, backend)
 partition
 !partition
-
 ```
+
 The first example selects all resources with key equal to `environment` and value equal to `production` or `qa`.
 The second example selects all resources with key equal to `tier` and values other than `frontend` and `backend`, and all resources with no labels with the `tier` key.
 The third example selects all resources including a label with key `partition`; no values are checked.
@@ -102,26 +102,26 @@ Both label selector styles can be used to list or watch resources via a REST cli
 
 ```shell
 $ kubectl get pods -l environment=production,tier=frontend
-
 ```
+
 or using _set-based_ requirements:
 
 ```shell
 $ kubectl get pods -l 'environment in (production),tier in (frontend)'
-
 ```
+
 As already mentioned _set-based_ requirements are more expressive.  For instance, they can implement the _OR_ operator on values:
 
 ```shell
 $ kubectl get pods -l 'environment in (production, qa)'
-
 ```
+
 or restricting negative matching via _exists_ operator:
 
 ```shell
 $ kubectl get pods -l 'environment,environment notin (frontend)'
-
 ```
+
 ### Set references in API objects
 
 Some Kubernetes objects, such as [`service`s](services) and [`replicationcontroller`s](replication-controller), also use label selectors to specify sets of other resources, such as [pods](pods).
@@ -136,15 +136,14 @@ Labels selectors for both objects are defined in `json` or `yaml` files using ma
 "selector": {
     "component" : "redis",
 }
-
 ```
 or
 
 ```yaml
 selector:
     component: redis
-
 ```
+
 this selector (respectively in `json` or `yaml` format) is equivalent to `component=redis` or `component in (redis)`.
 
 #### Job and other new resources
@@ -158,8 +157,6 @@ selector:
   matchExpressions:
     - {key: tier, operator: In, values: [cache]}
     - {key: environment, operator: NotIn, values: [dev]}
-
 ```
+
 `matchLabels` is a map of `{key,value}` pairs. A single `{key,value}` in the `matchLabels` map is equivalent to an element of `matchExpressions`, whose `key` field is "key", the `operator` is "In", and the `values` array contains only "value". `matchExpressions` is a list of pod selector requirements. Valid operators include In, NotIn, Exists, and DoesNotExist. The values set must be non-empty in the case of In and NotIn. All of the requirements, from both `matchLabels` and `matchExpressions` are ANDed together -- they must all be satisfied in order to match.
-
-

v1.1/docs/user-guide/liveness/index.md

@@ -13,16 +13,16 @@ livenessProbe:
         - /tmp/health
       initialDelaySeconds: 15
       timeoutSeconds: 1
-
 ```
+
 Kubelet executes the command `cat /tmp/health` in the container and reports failure if the command returns a non-zero exit code.
 
 Note that the container removes the `/tmp/health` file after 10 seconds,
 
 ```shell
 echo ok > /tmp/health; sleep 10; rm -rf /tmp/health; sleep 600
-
 ```
+
 so when Kubelet executes the health check 15 seconds (defined by initialDelaySeconds) after the container started, the check would fail.
 
 
@@ -35,8 +35,8 @@ livenessProbe:
         port: 8080
       initialDelaySeconds: 15
       timeoutSeconds: 1
-
 ```
+
 The Kubelet sends an HTTP request to the specified path and port to perform the health check. If you take a look at image/server.go, you will see the server starts to respond with an error code 500 after 10 seconds, so the check fails. The Kubelet sends the probe to the container's ip address by default which could be specified with `host` as part of httpGet probe. If the container listens on `127.0.0.1`, `host` should be specified as `127.0.0.1`. In general, if the container listens on its ip address or on all interfaces (0.0.0.0), there is no need to specify the `host` as part of the httpGet probe.
 
 This [guide](../walkthrough/k8s201.html#health-checking) has more information on health checks.
@@ -48,8 +48,8 @@ To show the health check is actually working, first create the pods:
 ```shell
 $ kubectl create -f docs/user-guide/liveness/exec-liveness.yaml
 $ kubectl create -f docs/user-guide/liveness/http-liveness.yaml
-
 ```
+
 Check the status of the pods once they are created:
 
 ```shell
@@ -58,8 +58,8 @@ NAME                                           READY     STATUS       RESTARTS
 [...]
 liveness-exec                                  1/1       Running      0          13s
 liveness-http                                  1/1       Running      0          13s
-
 ```
+
 Check the status half a minute later, you will see the container restart count being incremented:
 
 ```shell
@@ -68,8 +68,8 @@ NAME                                           READY     STATUS       RESTARTS
 [...]
 liveness-exec                                  1/1       Running      1          36s
 liveness-http                                  1/1       Running      1          36s
-
 ```
+
 At the bottom of the *kubectl describe* output there are messages indicating that the liveness probes have failed, and the containers have been killed and recreated.
 
 ```shell
@@ -79,5 +79,4 @@ Sat, 27 Jun 2015 13:43:03 +0200    Sat, 27 Jun 2015 13:44:34 +0200    4    {kube
 Sat, 27 Jun 2015 13:44:44 +0200    Sat, 27 Jun 2015 13:44:44 +0200    1    {kubelet kubernetes-minion-6fbi}    spec.containers{liveness}    killing    Killing with docker id 65b52d62c635
 Sat, 27 Jun 2015 13:44:44 +0200    Sat, 27 Jun 2015 13:44:44 +0200    1    {kubelet kubernetes-minion-6fbi}    spec.containers{liveness}    created    Created with docker id ed6bb004ee10
 Sat, 27 Jun 2015 13:44:44 +0200    Sat, 27 Jun 2015 13:44:44 +0200    1    {kubelet kubernetes-minion-6fbi}    spec.containers{liveness}    started    Started with docker id ed6bb004ee10
-
 ```

v1.1/docs/user-guide/logging.md

@@ -27,6 +27,7 @@ spec:
     args: [bash, -c, 
            'for ((i = 0; ; i++)); do echo "$i: $(date)"; sleep 1; done']
 ```
+
 [Download example](https://github.com/kubernetes/kubernetes/tree/master/examples/blog-logging/counter-pod.yaml)
 <!-- END MUNGE: EXAMPLE ../../examples/blog-logging/counter-pod.yaml -->
 
@@ -36,6 +37,7 @@ we can run the pod:
 $ kubectl create -f ./counter-pod.yaml
 pods/counter
 ```
+
 and then fetch the logs:
 
 ```shell
@@ -48,6 +50,7 @@ $ kubectl logs counter
 5: Tue Jun  2 21:37:36 UTC 2015
 ...
 ```
+
 If a pod has more than one container then you need to specify which container's log files should
 be fetched e.g.
 
@@ -68,6 +71,7 @@ $ kubectl logs kube-dns-v3-7r1l9 etcd
 2015/06/23 04:51:03 etcdserver: saved snapshot at index 60006
 ...
 ```
+
 ## Cluster level logging to Google Cloud Logging
 
 The getting started guide [Cluster Level Logging to Google Cloud Logging](../getting-started-guides/logging)

v1.1/docs/user-guide/managing-deployments.md

@@ -39,30 +39,30 @@ spec:
         image: nginx
         ports:
         - containerPort: 80
-
 ```
+
 Multiple resources can be created the same way as a single resource:
 
 ```shell
 $ kubectl create -f ./nginx-app.yaml
 services/my-nginx-svc
 replicationcontrollers/my-nginx
-
 ```
+
 The resources will be created in the order they appear in the file. Therefore, it's best to specify the service first, since that will ensure the scheduler can spread the pods associated with the service as they are created by the replication controller(s).
 
 `kubectl create` also accepts multiple `-f` arguments:
 
 ```shell
 $ kubectl create -f ./nginx-svc.yaml -f ./nginx-rc.yaml
-
 ```
+
 And a directory can be specified rather than or in addition to individual files:
 
 ```shell
 $ kubectl create -f ./nginx/
-
 ```
+
 `kubectl` will read any files with suffixes `.yaml`, `.yml`, or `.json`.
 
 It is a recommended practice to put resources related to the same microservice or application tier into the same file, and to group all of the files associated with your application in the same directory. If the tiers of your application bind to each other using DNS, then you can then simply deploy all of the components of your stack en masse.
@@ -72,8 +72,8 @@ A URL can also be specified as a configuration source, which is handy for deploy
 ```shell
 $ kubectl create -f https://raw.githubusercontent.com/GoogleCloudPlatform/kubernetes/master/docs/user-guide/replication.yaml
 replicationcontrollers/nginx
-
 ```
+
 ## Bulk operations in kubectl
 
 Resource creation isn't the only operation that `kubectl` can perform in bulk. It can also extract resource names from configuration files in order to perform other operations, in particular to delete the same resources you created:
@@ -82,22 +82,22 @@ Resource creation isn't the only operation that `kubectl` can perform in bulk. I
 $ kubectl delete -f ./nginx/
 replicationcontrollers/my-nginx
 services/my-nginx-svc
-
 ```
+
 In the case of just two resources, it's also easy to specify both on the command line using the resource/name syntax:
 
 ```shell
 $ kubectl delete replicationcontrollers/my-nginx services/my-nginx-svc
-
 ```
+
 For larger numbers of resources, one can use labels to filter resources. The selector is specified using `-l`:
 
 ```shell
 $ kubectl delete all -lapp=nginx
 replicationcontrollers/my-nginx
 services/my-nginx-svc
-
 ```
+
 Because `kubectl` outputs resource names in the same syntax it accepts, it's easy to chain operations using `$()` or `xargs`:
 
 ```shell
@@ -106,8 +106,8 @@ CONTROLLER   CONTAINER(S)   IMAGE(S)   SELECTOR    REPLICAS
 my-nginx     nginx          nginx      app=nginx   2
 NAME           LABELS      SELECTOR    IP(S)          PORT(S)
 my-nginx-svc   app=nginx   app=nginx   10.0.152.174   80/TCP
-
 ```
+
 ## Using labels effectively
 
 The examples we've used so far apply at most a single label to any resource. There are many scenarios where multiple labels should be used to distinguish sets from one another.
@@ -118,8 +118,8 @@ For instance, different applications would use different values for the `app` la
 labels:
         app: guestbook
         tier: frontend
-
 ```
+
 while the Redis master and slave would have different `tier` labels, and perhaps even an additional `role` label:
 
 ```yaml
@@ -127,8 +127,8 @@ labels:
         app: guestbook
         tier: backend
         role: master
-
 ```
+
 and
 
 ```yaml
@@ -136,8 +136,8 @@ labels:
         app: guestbook
         tier: backend
         role: slave
-
 ```
+
 The labels allow us to slice and dice our resources along any dimension specified by a label:
 
 ```shell
@@ -159,8 +159,8 @@ $ kubectl get pods -lapp=guestbook,role=slave
 NAME                          READY     STATUS    RESTARTS   AGE
 guestbook-redis-slave-2q2yf   1/1       Running   0          3m
 guestbook-redis-slave-qgazl   1/1       Running   0          3m
-
 ```
+
 ## Canary deployments
 
 Another scenario where multiple labels are needed is to distinguish deployments of different releases or configurations of the same component. For example, it is common practice to deploy a *canary* of a new application release (specified via image tag) side by side with the previous release so that the new release can receive live production traffic before fully rolling it out. For instance, a new release of the guestbook frontend might carry the following labels:
@@ -170,8 +170,8 @@ labels:
         app: guestbook
         tier: frontend
         track: canary
-
 ```
+
 and the primary, stable release would have a different value of the `track` label, so that the sets of pods controlled by the two replication controllers would not overlap:
 
 ```yaml
@@ -179,16 +179,16 @@ labels:
         app: guestbook
         tier: frontend
         track: stable
-
 ```
+
 The frontend service would span both sets of replicas by selecting the common subset of their labels, omitting the `track` label:
 
 ```yaml
 selector:
      app: guestbook
      tier: frontend
-
 ```
+
 ## Updating labels
 
 Sometimes existing pods and other resources need to be relabeled before creating new resources. This can be done with `kubectl label`. For example:
@@ -212,8 +212,8 @@ my-nginx-v4-hayza   1/1       Running   0          14m       fe
 my-nginx-v4-mde6m   1/1       Running   0          18m       fe
 my-nginx-v4-sh6m8   1/1       Running   0          19m       fe
 my-nginx-v4-wfof4   1/1       Running   0          16m       fe
-
 ```
+
 ## Scaling your application
 
 When load on your application grows or shrinks, it's easy to scale with `kubectl`. For instance, to increase the number of nginx replicas from 2 to 3, do:
@@ -226,8 +226,8 @@ NAME             READY     STATUS    RESTARTS   AGE
 my-nginx-1jgkf   1/1       Running   0          3m
 my-nginx-divi2   1/1       Running   0          1h
 my-nginx-o0ef1   1/1       Running   0          1h
-
 ```
+
 ## Updating your application without a service outage
 
 At some point, you'll eventually need to update your deployed application, typically by specifying a new image or image tag, as in the canary deployment scenario above. `kubectl` supports several update operations, each of which is applicable to different scenarios.
@@ -253,15 +253,15 @@ spec:
         image: nginx:1.7.9
         ports:
         - containerPort: 80
-
 ```
+
 To update to version 1.9.1, you can use [`kubectl rolling-update --image`](/{{page.version}}/docs/design/simple-rolling-update):
 
 ```shell
 $ kubectl rolling-update my-nginx --image=nginx:1.9.1
 Creating my-nginx-ccba8fbd8cc8160970f63f9a2696fc46
-
 ```
+
 In another window, you can see that `kubectl` added a `deployment` label to the pods, whose value is a hash of the configuration, to distinguish the new pods from the old:
 
 ```shell
@@ -273,8 +273,8 @@ my-nginx-ccba8fbd8cc8160970f63f9a2696fc46-v95yh   1/1       Running   0
 my-nginx-divi2                                    1/1       Running   0          2h        2d1d7a8f682934a254002b56404b813e
 my-nginx-o0ef1                                    1/1       Running   0          2h        2d1d7a8f682934a254002b56404b813e
 my-nginx-q6all                                    1/1       Running   0          8m        2d1d7a8f682934a254002b56404b813e
-
 ```
+
 `kubectl rolling-update` reports progress as it progresses:
 
 ```shell
@@ -295,8 +295,8 @@ At end of loop: my-nginx replicas: 0, my-nginx-ccba8fbd8cc8160970f63f9a2696fc46
 Update succeeded. Deleting old controller: my-nginx
 Renaming my-nginx-ccba8fbd8cc8160970f63f9a2696fc46 to my-nginx
 my-nginx
-
 ```
+
 If you encounter a problem, you can stop the rolling update midway and revert to the previous version using `--rollback`:
 
 ```shell
@@ -306,8 +306,8 @@ Found desired replicas.Continuing update with existing controller my-nginx.
 Stopping my-nginx-02ca3e87d8685813dbe1f8c164a46f02 replicas: 1 -> 0
 Update succeeded. Deleting my-nginx-ccba8fbd8cc8160970f63f9a2696fc46
 my-nginx
-
 ```
+
 This is one example where the immutability of containers is a huge asset.
 
 If you need to update more than just the image (e.g., command arguments, environment variables), you can create a new replication controller, with a new name and distinguishing label value, such as:
@@ -334,8 +334,8 @@ spec:
         args: ['nginx'?,'?-T'?]
         ports:
         - containerPort: 80
-
 ```
+
 and roll it out:
 
 ```shell
@@ -358,8 +358,8 @@ Updating my-nginx replicas: 0, my-nginx-v4 replicas: 5
 At end of loop: my-nginx replicas: 0, my-nginx-v4 replicas: 5
 Update succeeded. Deleting my-nginx
 my-nginx-v4
-
 ```
+
 You can also run the [update demo](update-demo/) to see a visual representation of the rolling update process.
 
 ## In-place updates of resources
@@ -376,8 +376,8 @@ metadata:
   annotations:
     description: my frontend running nginx
 ...
-
 ```
+
 The patch is specified using json.
 
 For more significant changes, you can `get` the resource, edit it, and then `replace` the resource with the updated version:
@@ -388,8 +388,8 @@ $ vi /tmp/nginx.yaml
 $ kubectl replace -f /tmp/nginx.yaml
 replicationcontrollers/my-nginx-v4
 $ rm $TMP
-
 ```
+
 The system ensures that you don't clobber changes made by other users or components by confirming that the `resourceVersion` doesn't differ from the version you edited. If you want to update regardless of other changes, remove the `resourceVersion` field when you edit the resource. However, if you do this, don't use your original configuration file as the source since additional fields most likely were set in the live state.
 
 ## Disruptive updates
@@ -400,12 +400,9 @@ In some cases, you may need to update resource fields that cannot be updated onc
 $ kubectl replace -f ./nginx-rc.yaml --force
 replicationcontrollers/my-nginx-v4
 replicationcontrollers/my-nginx-v4
-
 ```
+
 ## What's next?
 
 - [Learn about how to use `kubectl` for application introspection and debugging.](introspection-and-debugging)
-- [Tips and tricks when working with config](config-best-practices)
+- [Tips and tricks when working with config](config-best-practices
-
-
-

v1.1/docs/user-guide/namespaces.md

@@ -19,7 +19,7 @@ In future versions of Kubernetes, objects in the same namespace will have the sa
 access control policies by default.
 
 It is not necessary to use multiple namespaces just to separate slightly different
-resources, such as different versions of the same software: use [labels](#labels.md) to distinguish
+resources, such as different versions of the same software: use [labels](labels) to distinguish
 resources within the same namespace.
 
 ## Working with Namespaces
@@ -36,9 +36,10 @@ $ kubectl get namespaces
 NAME          LABELS    STATUS
 default       <none>    Active
 kube-system   <none>    Active
-
 ```
+
 Kubernetes starts with two initial namespaces:
+
    * `default` The default namespace for objects with no other namespace
    * `kube-system` The namespace for objects created by the Kubernetes system
 
@@ -51,8 +52,8 @@ For example:
 ```shell
 $ kubectl --namespace=<insert-namespace-name-here> run nginx --image=nginx
 $ kubectl --namespace=<insert-namespace-name-here> get pods
-
 ```
+
 ### Setting the namespace preference
 
 You can permanently save the namespace for all subsequent kubectl commands in that
@@ -62,14 +63,14 @@ First get your current context:
 
 ```shell
 $ export CONTEXT=$(kubectl config view | grep current-context | awk '{print $2}')
-
 ```
+
 Then update the default namespace:
 
 ```shell
 $ kubectl config set-context $(CONTEXT) --namespace=<insert-namespace-name-here>
-
 ```
+
 ## Namespaces and DNS
 
 When you create a [Service](services), it creates a corresponding [DNS entry](../admin/dns).
@@ -86,6 +87,3 @@ in a some namespace.  However namespace resources are not themselves in a namesp
 And, low-level resources, such as [nodes](/{{page.version}}/docs/admin/node) and
 persistentVolumes, are not in any namespace. Events are an exception: they may or may not
 have a namespace, depending on the object the event is about.
-
-
-

v1.1/docs/user-guide/node-selection/index.md

@@ -23,7 +23,7 @@ You can verify that it worked by re-running `kubectl get nodes` and checking tha
 
 Take whatever pod config file you want to run, and add a nodeSelector section to it, like this. For example, if this is my pod config:
 
-<pre>
+```yaml
 apiVersion: v1
 kind: Pod
 metadata:
@@ -34,11 +34,11 @@ spec:
   containers:
   - name: nginx
     image: nginx
-</pre>
+```
 
 Then add a nodeSelector like so:
 
-<pre>
+```yaml
 apiVersion: v1
 kind: Pod
 metadata:
@@ -52,13 +52,10 @@ spec:
     imagePullPolicy: IfNotPresent
   <b>nodeSelector:
     disktype: ssd</b>
-</pre>
+```
 
 When you then run `kubectl create -f pod.yaml`, the pod will get scheduled on the node that you attached the label to! You can verify that it worked by running `kubectl get pods -o wide` and looking at the "NODE" that the pod was assigned to.
 
 ### Conclusion
 
 While this example only covered one node, you can attach labels to as many nodes as you want. Then when you schedule a pod with a nodeSelector, it can be scheduled on any of the nodes that satisfy that nodeSelector. Be careful that it will match at least one node, however, because if it doesn't the pod won't be scheduled at all.
-
-
-

v1.1/docs/user-guide/persistent-volumes.md

@@ -61,7 +61,6 @@ The reclaim policy for a `PersistentVolume` tells the cluster what to do with th
 
 Each PV contains a spec and status, which is the specification and status of the volume.
 
-
 ```yaml
 apiVersion: v1
   kind: PersistentVolume
@@ -76,8 +75,8 @@ apiVersion: v1
     nfs:
       path: /tmp
       server: 172.17.0.2
-
 ```
+
 ### Capacity
 
 Generally, a PV will have a specific storage capacity.  This is set using the PV's `capacity` attribute.  See the Kubernetes [Resource Model](../design/resources) to understand the units expected by `capacity`.
@@ -138,8 +137,8 @@ spec:
   resources:
     requests:
       storage: 8Gi
-
 ```
+
 ### Access Modes
 
 Claims use the same conventions as volumes when requesting storage with specific access modes.
@@ -168,5 +167,4 @@ spec:
     - name: mypd
       persistentVolumeClaim:
         claimName: myclaim
-
 ```

v1.1/docs/user-guide/persistent-volumes/index.md

@@ -19,22 +19,20 @@ for ease of development and testing.  You'll create a local `HostPath` for this
 > IMPORTANT! For `HostPath` to work, you will need to run a single node cluster.  Kubernetes does not
 support local storage on the host at this time.  There is no guarantee your pod ends up on the correct node where the `HostPath` resides.
 
-
-
 ```shell
 # This will be nginx's webroot
 $ mkdir /tmp/data01
 $ echo 'I love Kubernetes storage!' > /tmp/data01/index.html
-
 ```
+
 PVs are created by posting them to the API server.
 
 ```shell
 $ kubectl create -f docs/user-guide/persistent-volumes/volumes/local-01.yaml
 NAME      LABELS       CAPACITY      ACCESSMODES   STATUS      CLAIM     REASON
 pv0001    type=local   10737418240   RWO           Available 
-
 ```
+
 ## Requesting storage
 
 Users of Kubernetes request persistent storage for their pods.  They don't know how the underlying cluster is provisioned.
@@ -60,8 +58,8 @@ myclaim-1   map[]     Bound     pv0001
 $ kubectl get pv
 NAME      LABELS       CAPACITY      ACCESSMODES   STATUS    CLAIM               REASON
 pv0001    type=local   10737418240   RWO           Bound     default/myclaim-1 
-
 ```
+
 ## Using your claim as a volume
 
 Claims are used as volumes in pods.  Kubernetes uses the claim to look up its bound PV.  The PV is then exposed to the pod.
@@ -78,8 +76,8 @@ $ kubectl get services
 NAME              CLUSTER_IP       EXTERNAL_IP       PORT(S)       SELECTOR           AGE
 frontendservice   10.0.0.241       <none>            3000/TCP      name=frontendhttp  1d
 kubernetes        10.0.0.2         <none>            443/TCP       <none>             2d
-
 ```
+
 ## Next steps
 
 You should be able to query your service endpoint and see what content nginx is serving.  A "forbidden" error might mean you
@@ -88,11 +86,8 @@ need to disable SELinux (setenforce 0).
 ```shell
 $ curl 10.0.0.241:3000
 I love Kubernetes storage!
-
 ```
+
 Hopefully this simple guide is enough to get you started with PersistentVolumes.  If you have any questions, join the team on [Slack](../../troubleshooting.html#slack) and ask!
 
 Enjoy!
-
-
-

v1.1/docs/user-guide/prereqs.md

@@ -18,14 +18,14 @@ The simplest way to install is to copy or move kubectl into a dir already in PAT
 $ sudo cp kubernetes/platforms/darwin/amd64/kubectl /usr/local/bin/kubectl
 # Linux
 $ sudo cp kubernetes/platforms/linux/amd64/kubectl /usr/local/bin/kubectl
-
 ```
+
 You also need to ensure it's executable:
 
 ```shell
 $ sudo chmod +x /usr/local/bin/kubectl
-
 ```
+
 If you prefer not to copy kubectl, you need to ensure the tool is in your path:
 
 ```shell
@@ -34,8 +34,8 @@ export PATH=<path/to/kubernetes-directory>/platforms/darwin/amd64:$PATH
 
 # Linux
 export PATH=<path/to/kubernetes-directory>/platforms/linux/amd64:$PATH
-
 ```
+
 ## Configuring kubectl
 
 In order for kubectl to find and access the Kubernetes cluster, it needs a [kubeconfig file](kubeconfig-file), which is created automatically when creating a cluster using kube-up.sh (see the [getting started guides](/{{page.version}}/docs/getting-started-guides/) for more about creating clusters). If you need access to a cluster you didn't create, see the [Sharing Cluster Access document](sharing-clusters).
@@ -47,13 +47,10 @@ Check that kubectl is properly configured by getting the cluster state:
 
 ```shell
 $ kubectl cluster-info
-
 ```
+
 If you see a url response, you are ready to go.
 
 ## What's next?
 
 [Learn how to launch and expose your application.](quick-start)
-
-
-

v1.1/docs/user-guide/production-pods.md

@@ -1,10 +1,10 @@
 ---
 title: "Kubernetes User Guide: Managing Applications: Working with pods and containers in production"
 ---
-{% include pagetoc.html %}
-
 You've seen [how to configure and deploy pods and containers](configuring-containers), using some of the most common configuration parameters. This section dives into additional features that are especially useful for running applications in production.
 
+{% include pagetoc.html %}
+
 ## Persistent storage
 
 The container file system only lives as long as the container does, so when a container crashes and restarts, changes to the filesystem will be lost and the container will restart from a clean slate. To access more-persistent storage, outside the container file system, you need a [*volume*](volumes). This is especially important to stateful applications, such as key-value stores and databases.
@@ -36,8 +36,8 @@ spec:
         volumeMounts:
         - mountPath: /redis-master-data
           name: data   # must match the name of the volume, above
-
 ```
+
 `emptyDir` volumes live for the lifespan of the [pod](pods), which is longer than the lifespan of any one container, so if the container fails and is restarted, our storage will live on.
 
 In addition to the local disk storage provided by `emptyDir`, Kubernetes supports many different network-attached storage solutions, including PD on GCE and EBS on EC2, which are preferred for critical data, and will handle details such as mounting and unmounting the devices on the nodes. See [the volumes doc](volumes) for more details.
@@ -57,8 +57,8 @@ type: Opaque
 data:
   password: dmFsdWUtMg0K
   username: dmFsdWUtMQ0K
-
 ```
+
 As with other resources, this secret can be instantiated using `create` and can be viewed with `get`:
 
 ```shell
@@ -68,8 +68,8 @@ $ kubectl get secrets
 NAME                  TYPE                                  DATA
 default-token-v9pyz   kubernetes.io/service-account-token   2
 mysecret              Opaque                                2
-
 ```
+
 To use the secret, you need to reference it in a pod or pod template. The `secret` volume source enables you to mount it as an in-memory directory into your containers.
 
 ```yaml
@@ -101,8 +101,8 @@ spec:
           name: data   # must match the name of the volume, above
         - mountPath: /var/run/secrets/super
           name: supersecret
-
 ```
+
 For more details, see the [secrets document](secrets), [example](secrets/) and [design doc](/{{page.version}}/docs/design/secrets).
 
 ## Authenticating with a private image registry
@@ -138,8 +138,8 @@ EOF
 
 $ kubectl create -f ./image-pull-secret.yaml
 secrets/myregistrykey
-
 ```
+
 Now, you can create pods which reference that secret by adding an `imagePullSecrets`
 section to a pod definition.
 
@@ -154,8 +154,8 @@ spec:
       image: janedoe/awesomeapp:v1
   imagePullSecrets:
     - name: myregistrykey
-
 ```
+
 ## Helper containers
 
 [Pods](pods) support running multiple containers co-located together. They can be used to host vertically integrated application stacks, but their primary motivation is to support auxiliary helper programs that assist the primary application. Typical examples are data pullers, data pushers, and proxies.
@@ -193,8 +193,8 @@ spec:
         volumeMounts:
         - mountPath: /data
           name: www-data
-
 ```
+
 More examples can be found in our [blog article](http://blog.kubernetes.io/2015/06/the-distributed-system-toolkit-patterns) and [presentation slides](http://www.slideshare.net/Docker/slideshare-burns).
 
 ## Resource management
@@ -231,8 +231,8 @@ spec:
             cpu: 500m
             # memory units are bytes
             memory: 64Mi
-
 ```
+
 The container will die due to OOM (out of memory) if it exceeds its specified limit, so specifying a value a little higher than expected generally improves reliability. By specifying request, pod is guaranteed to be able to use that much of resource when needed. See [Resource QoS](../proposals/resource-qos) for the difference between resource limits and requests.
 
 If you're not sure how much resources to request, you can first launch the application without specifying resources, and use [resource usage monitoring](monitoring) to determine appropriate values.
@@ -267,8 +267,8 @@ spec:
             port: 80
           initialDelaySeconds: 30
           timeoutSeconds: 1
-
 ```
+
 Other times, applications are only temporarily unable to serve, and will recover on their own. Typically in such cases you'd prefer not to kill the application, but don't want to send it requests, either, since the application won't respond correctly or at all. A common such scenario is loading large data or configuration files during application startup. Kubernetes provides *readiness probes* to detect and mitigate such situations. Readiness probes are configured similarly to liveness probes, just using the `readinessProbe` field. A pod with containers reporting that they are not ready will not receive traffic through Kubernetes [services](connecting-applications).
 
 For more details (e.g., how to specify command-based probes), see the [example in the walkthrough](walkthrough/k8s201.html#health-checking), the [standalone example](liveness/), and the [documentation](pod-states.html#container-probes).
@@ -304,8 +304,8 @@ spec:
             exec:
               # SIGTERM triggers a quick exit; gracefully terminate instead
               command: ["/usr/sbin/nginx","-s","quit"]
-
 ```
+
 ## Termination message
 
 In order to achieve a reasonably high level of availability, especially for actively developed applications, it's important to debug failures quickly. Kubernetes can speed debugging by surfacing causes of fatal errors in a way that can be display using [`kubectl`](kubectl/kubectl) or the [UI](ui), in addition to general [log collection](logging). It is possible to specify a `terminationMessagePath` where a container will write its 'death rattle'?, such as assertion failure messages, stack traces, exceptions, and so on. The default path is `/dev/termination-log`.
@@ -323,8 +323,8 @@ spec:
     image: "ubuntu:14.04"
     command: ["/bin/sh","-c"]
     args: ["sleep 60 && /bin/echo Sleep expired > /dev/termination-log"]
-
 ```
+
 The message is recorded along with the other state of the last (i.e., most recent) termination:
 
 ```shell
@@ -340,4 +340,3 @@ $ kubectl get pods/pod-w-message -o go-template="{{range .status.containerStatus
 ## What's next?
 
 [Learn more about managing deployments.](managing-deployments)
-

v1.1/docs/user-guide/quick-start.md

@@ -1,10 +1,10 @@
 ---
 title: "Kubernetes User Guide: Managing Applications: Quick start"
 ---
-{% include pagetoc.html %}
-
 This guide will help you get oriented to Kubernetes and running your first containers on the cluster. If you are already familiar with the docker-cli, you can also checkout the docker-cli to kubectl migration guide [here](docker-cli-to-kubectl).
 
+{% include pagetoc.html %}
+
 ## Launching a simple application
 
 Once your application is packaged into a container and pushed to an image registry, you're ready to deploy it to Kubernetes.
@@ -15,8 +15,8 @@ For example, [nginx](http://wiki.nginx.org/Main) is a popular HTTP server, with
 $ kubectl run my-nginx --image=nginx --replicas=2 --port=80
 CONTROLLER   CONTAINER(S)   IMAGE(S)   SELECTOR       REPLICAS
 my-nginx     my-nginx       nginx      run=my-nginx   2
-
 ```
+
 You can see that they are running by:
 
 ```shell
@@ -24,8 +24,8 @@ $ kubectl get po
 NAME             READY     STATUS    RESTARTS   AGE
 my-nginx-l8n3i   1/1       Running   0          29m
 my-nginx-q7jo3   1/1       Running   0          29m
-
 ```
+
 Kubernetes will ensure that your application keeps running, by automatically restarting containers that fail, spreading containers across nodes, and recreating containers on new nodes when nodes fail.
 
 ## Exposing your application to the Internet
@@ -35,16 +35,16 @@ Through integration with some cloud providers (for example Google Compute Engine
 ```shell
 $ kubectl expose rc my-nginx --port=80 --type=LoadBalancer
 service "my-nginx" exposed
-
 ```
+
 To find the public IP address assigned to your application, execute:
 
 ```shell
 $ kubectl get svc my-nginx
 NAME         CLUSTER_IP       EXTERNAL_IP       PORT(S)                SELECTOR     AGE
 my-nginx     10.179.240.1     25.1.2.3          80/TCP                 run=nginx    8d
-
 ```
+
 You may need to wait for a minute or two for the external ip address to be provisioned.
 
 In order to access your nginx landing page, you also have to make sure that traffic from external IPs is allowed. Do this by opening a [firewall to allow traffic on port 80](services-firewalls).
@@ -58,11 +58,8 @@ $ kubectl delete rc my-nginx
 replicationcontrollers/my-nginx
 $ kubectl delete svc my-nginx
 services/my-nginx
-
 ```
+
 ## What's next?
 
 [Learn about how to configure common container parameters, such as commands and environment variables.](configuring-containers)
-
-
-

v1.1/docs/user-guide/secrets.md

@@ -47,8 +47,8 @@ type: Opaque
 data:
   password: dmFsdWUtMg0K
   username: dmFsdWUtMQ0K
-
 ```
+
 The data field is a map.  Its keys must match
 [`DNS_SUBDOMAIN`](../design/identifiers), except that leading dots are also
 allowed.  The values are arbitrary data, encoded using base64. The values of
@@ -90,8 +90,8 @@ This is an example of a pod that mounts a secret in a volume:
     }]
   }
 }
-
 ```
+
 Each secret you want to use needs its own `spec.volumes`.
 
 If there are multiple containers in the pod, then each container needs its
@@ -160,8 +160,8 @@ $ cat /etc/foo/username
 value-1
 $ cat /etc/foo/password
 value-2
-
 ```
+
 The program in a container is responsible for reading the secret(s) from the
 files.  Currently, if a program expects a secret to be stored in an environment
 variable, then the user needs to modify the image to populate the environment
@@ -216,8 +216,8 @@ To create a pod that uses an ssh key stored as a secret, we first need to create
     "id-rsa.pub": "dmFsdWUtMQ0K"
   }
 }
-
 ```
+
 **Note:** The serialized JSON and YAML values of secret data are encoded as
 base64 strings.  Newlines are not valid within these strings and must be
 omitted.
@@ -259,12 +259,14 @@ consumes it in a volume:
     ]
   }
 }
-
 ```
+
 When the container's command runs, the pieces of the key will be available in:
 
-    /etc/secret-volume/id-rsa.pub
+```shell
-    /etc/secret-volume/id-rsa
+/etc/secret-volume/id-rsa.pub
+/etc/secret-volume/id-rsa
+```
 
 The container is then free to use the secret data to establish an ssh connection.
 
@@ -304,8 +306,8 @@ The secrets:
     }
   }]
 }
-
 ```
+
 The pods:
 
 ```json
@@ -380,15 +382,15 @@ The pods:
     }
   }]
 }
-
 ```
+
 Both containers will have the following files present on their filesystems:
 
 ```shell
 /etc/secret-volume/username
-    /etc/secret-volume/password
+/etc/secret-volume/password
-
 ```
+
 Note how the specs for the two pods differ only in one field;  this facilitates
 creating pods with different capabilities from a common pod config template.
 
@@ -415,8 +417,8 @@ one called, say, `prod-user` with the `prod-db-secret`, and one called, say,
     }
   ]
 }
-
 ```
+
 ### Use-case: Secret visible to one container in a pod
 
 <a name="use-case-two-containers"></a>
@@ -486,6 +488,3 @@ Pod level](#use-case-two-containers).
    by impersonating the kubelet.  It is a planned feature to only send secrets to
    nodes that actually require them, to restrict the impact of a root exploit on a
    single node.
-
-
-

v1.1/docs/user-guide/secrets/index.md

@@ -17,8 +17,8 @@ Use the [`examples/secrets/secret.yaml`](secret.yaml) file to create a secret:
 
 ```shell
 $ kubectl create -f docs/user-guide/secrets/secret.yaml
-
 ```
+
 You can use `kubectl` to see information about the secret:
 
 ```shell
@@ -37,8 +37,8 @@ Data
 ====
 data-1: 9 bytes
 data-2: 11 bytes
-
 ```
+
 ## Step Two: Create a pod that consumes a secret
 
 Pods consume secrets in volumes.  Now that you have created a secret, you can create a pod that
@@ -48,13 +48,12 @@ Use the [`examples/secrets/secret-pod.yaml`](secret-pod.yaml) file to create a P
 
 ```shell
 $ kubectl create -f docs/user-guide/secrets/secret-pod.yaml
-
 ```
+
 This pod runs a binary that displays the content of one of the pieces of secret data in the secret
 volume:
 
 ```shell
 $ kubectl logs secret-test-pod
 2015-04-29T21:17:24.712206409Z content of file "/etc/secret-volume/data-1": value-1
-
 ```

v1.1/docs/user-guide/service-accounts.md

@@ -38,8 +38,8 @@ You can list this and any other serviceAccount resources in the namespace with t
 $ kubectl get serviceAccounts
 NAME      SECRETS
 default   1
-
 ```
+
 You can create additional serviceAccounts like this:
 
 ```shell
@@ -51,8 +51,8 @@ metadata:
 EOF
 $ kubectl create -f /tmp/serviceaccount.yaml
 serviceaccounts/build-robot
-
 ```
+
 If you get a complete dump of the service account object, like this:
 
 ```shell
@@ -68,8 +68,8 @@ metadata:
   uid: 721ab723-13bc-11e5-aec2-42010af0021e
 secrets:
 - name: build-robot-token-bvbk5
-
 ```
+
 then you will see that a token has automatically been created and is referenced by the service account.
 
 In the future, you will be able to configure different access policies for each service account.
@@ -85,8 +85,8 @@ You can clean up the service account from this example like this:
 
 ```shell
 $ kubectl delete serviceaccount/build-robot
-
 ```
+
 <!-- TODO: describe how to create a pod with no Service Account. -->
 Note that if a pod does not have a `ServiceAccount` set, the `ServiceAccount` will be set to `default`.
 
@@ -107,8 +107,8 @@ type: kubernetes.io/service-account-token
 EOF
 $ kubectl create -f /tmp/build-robot-secret.yaml
 secrets/build-robot-secret
-
 ```
+
 Now you can confirm that the newly built secret is populated with an API token for the "build-robot" service account.
 
 ```shell
@@ -124,8 +124,8 @@ Data
 ====
 ca.crt: 1220 bytes
 token:  
-
 ```
+
 > Note that the content of `token` is elided here.
 
 ## Adding ImagePullSecrets to a service account
@@ -137,8 +137,8 @@ Next, verify it has been created.  For example:
 $ kubectl get secrets myregistrykey
 NAME             TYPE                      DATA
 myregistrykey    kubernetes.io/dockercfg   1
-
 ```
+
 Next, read/modify/write the service account for the namespace to use this secret as an imagePullSecret
 
 ```shell
@@ -174,21 +174,19 @@ imagePullSecrets:
 - name: myregistrykey
 $ kubectl replace serviceaccount default -f ./sa.yaml
 serviceaccounts/default
-
 ```
+
 Now, any new pods created in the current namespace will have this added to their spec:
 
 ```yaml
 spec:
   imagePullSecrets:
   - name: myregistrykey
-
 ```
+
 ## Adding Secrets to a service account.
 
 TODO: Test and explain how to use additional non-K8s secrets with an existing service account.
 
 TODO explain:
   - The token goes to: "/var/run/secrets/kubernetes.io/serviceaccount/$WHATFILENAME"
-
-

v1.1/docs/user-guide/services-firewalls.md

@@ -18,8 +18,8 @@ You can add a firewall with the `gcloud` command line tool:
 
 ```shell
 $ gcloud compute firewall-rules create my-rule --allow=tcp:<port>
-
 ```
+
 **Note**
 There is one important security note when using firewalls on Google Compute Engine:
 
@@ -31,6 +31,7 @@ as they listen on IP addresses that are different than the host node's external
 IP address.
 
 Consider:
+
    * You create a Service with an external load balancer (IP Address 1.2.3.4)
      and port 80
    * You open the firewall for port 80 for all nodes in your cluster, so that
@@ -48,6 +49,3 @@ This will be fixed in an upcoming release of Kubernetes.
 ### Other cloud providers
 
 Coming soon.
-
-
-

v1.1/docs/user-guide/services.md

@@ -1,10 +1,6 @@
 ---
 title: "Services in Kubernetes"
 ---
-{% include pagetoc.html %}
-
-## Overview
-
 Kubernetes [`Pods`](pods) are mortal. They are born and they die, and they
 are not resurrected.  [`ReplicationControllers`](replication-controller) in
 particular create and destroy `Pods` dynamically (e.g. when scaling up or down
@@ -34,6 +30,8 @@ that is updated whenever the set of `Pods` in a `Service` changes.  For
 non-native applications, Kubernetes offers a virtual-IP-based bridge to Services
 which redirects to the backend `Pods`.
 
+{% include pagetoc.html %}
+
 ## Defining a service
 
 A `Service` in Kubernetes is a REST object, similar to a `Pod`.  Like all of the
@@ -61,8 +59,8 @@ port 9376 and carry a label `"app=MyApp"`.
         ]
     }
 }
-
 ```
+
 This specification will create a new `Service` object named "my-service" which
 targets TCP port 9376 on any `Pod` with the `"app=MyApp"` label.  This `Service`
 will also be assigned an IP address (sometimes called the "cluster IP"), which
@@ -113,8 +111,8 @@ In any of these scenarios you can define a service without a selector:
         ]
     }
 }
-
 ```
+
 Because this has no selector, the corresponding `Endpoints` object will not be
 created. You can manually map the service to your own specific endpoints:
 
@@ -136,8 +134,8 @@ created. You can manually map the service to your own specific endpoints:
         }
     ]
 }
-
 ```
+
 NOTE: Endpoint IPs may not be loopback (127.0.0.0/8), link-local
 (169.254.0.0/16), or link-local multicast ((224.0.0.0/24).
 
@@ -203,8 +201,8 @@ disambiguated.  For example:
         ]
     }
 }
-
 ```
+
 ## Choosing your own IP address
 
 You can specify your own cluster IP address as part of a `Service` creation
@@ -257,8 +255,8 @@ REDIS_MASTER_PORT_6379_TCP=tcp://10.0.0.11:6379
 REDIS_MASTER_PORT_6379_TCP_PROTO=tcp
 REDIS_MASTER_PORT_6379_TCP_PORT=6379
 REDIS_MASTER_PORT_6379_TCP_ADDR=10.0.0.11
-
 ```
+
 *This does imply an ordering requirement* - any `Service` that a `Pod` wants to
 access must be created before the `Pod` itself, or else the environment
 variables will not be populated.  DNS does not have this restriction.
@@ -389,8 +387,8 @@ information about the provisioned balancer will be published in the `Service`'s
         }
     }
 }
-
 ```
+
 Traffic from the external load balancer will be directed at the backend `Pods`,
 though exactly how that works depends on the cloud provider. Some cloud providers allow
 the `loadBalancerIP` to be specified. In those cases, the load-balancer will be created
@@ -432,8 +430,8 @@ In the example below, my-service can be accessed by clients on 80.11.12.10:80 (e
         ]
     }
 }
-
 ```
+
 ## Shortcomings
 
 We expect that using iptables and userspace proxies for VIPs will work at
@@ -529,7 +527,4 @@ of which `Pods` they are actually accessing.
 
 Service is a top-level resource in the kubernetes REST API. More details about the
 API object can be found at: [Service API
-object](http://kubernetes.io/v1.1/docs/api-reference/v1/definitions.html#_v1_service).
+object](/{{ page.version }}/docs/api-reference/v1/definitions/#_v1_service).
-
-
-

v1.1/docs/user-guide/sharing-clusters.md

@@ -10,28 +10,28 @@ by `cluster/kube-up.sh`. Sample steps for sharing `kubeconfig` below.
 
 ```shell
 $ cluster/kube-up.sh
-
 ```
+
 **2. Copy `kubeconfig` to new host**
 
 ```shell
 $ scp $HOME/.kube/config user@remotehost:/path/to/.kube/config
-
 ```
+
 **3. On new host, make copied `config` available to `kubectl`**
 
 * Option A: copy to default location
 
 ```shell
 $ mv /path/to/.kube/config $HOME/.kube/config
-
 ```
+
 * Option B: copy to working directory (from which kubectl is run)
 
 ```shell
 $ mv /path/to/.kube/config $PWD
-
 ```
+
 * Option C: manually pass `kubeconfig` location to `kubectl`
 
 ```shell
@@ -40,8 +40,8 @@ $ export KUBECONFIG=/path/to/.kube/config
 
 # via commandline flag
 $ kubectl ... --kubeconfig=/path/to/.kube/config
-
 ```
+
 ## Manually Generating `kubeconfig`
 
 `kubeconfig` is generated by `kube-up` but you can generate your own
@@ -71,9 +71,10 @@ $ kubectl config set-credentials $USER_NICK \
 
 # create context entry
 $ kubectl config set-context $CONTEXT_NAME --cluster=$CLUSTER_NICKNAME --user=$USER_NICK
-
 ```
+
 Notes:
+
 * The `--embed-certs` flag is needed to generate a standalone
 `kubeconfig`, that will work as-is on another host.
 * `--kubeconfig` is both the preferred file to load config from and the file to
@@ -82,8 +83,8 @@ omitted if you first run
 
 ```shell
 $ export KUBECONFIG=/path/to/standalone/.kube/config
-
 ```
+
 * The ca_file, key_file, and cert_file referenced above are generated on the
 kube master at cluster turnup. They can be found on the master under
 `/srv/kubernetes`. Bearer token/basic auth are also generated on the kube master.
@@ -113,9 +114,6 @@ $ export $KUBECONFIG=/path/to/other/.kube/config
 $ scp host2:/path/to/home2/.kube/config /path/to/other/.kube/config
 
 $ export $KUBECONFIG=/path/to/other/.kube/config
-
 ```
-Detailed examples and explanation of `kubeconfig` loading/merging rules can be found in [kubeconfig-file.md](kubeconfig-file).
-
-
 
+Detailed examples and explanation of `kubeconfig` loading/merging rules can be found in [kubeconfig-file](kubeconfig-file).

v1.1/docs/user-guide/simple-nginx.md

@@ -13,26 +13,26 @@ The [`kubectl run`](kubectl/kubectl_run) line below will create two [nginx](http
 
 ```shell
 kubectl run my-nginx --image=nginx --replicas=2 --port=80
-
 ```
+
 Once the pods are created, you can list them to see what is up and running:
 
 ```shell
 kubectl get pods
-
 ```
+
 You can also see the replication controller that was created:
 
 ```shell
 kubectl get rc
-
 ```
+
 To stop the two replicated containers, stop the replication controller:
 
 ```shell
 kubectl stop rc my-nginx
-
 ```
+
 ### Exposing your pods to the internet.
 
 On some platforms (for example Google Compute Engine) the kubectl command can integrate with your cloud provider to add a [public IP address](services.html#external-services) for the pods,
@@ -40,20 +40,17 @@ to do this run:
 
 ```shell
 kubectl expose rc my-nginx --port=80 --type=LoadBalancer
-
 ```
+
 This should print the service that has been created, and map an external IP address to the service. Where to find this external IP address will depend on the environment you run in.  For instance, for Google Compute Engine the external IP address is listed as part of the newly created service and can be retrieved by running
 
 ```shell
 kubectl get services
-
 ```
+
 In order to access your nginx landing page, you also have to make sure that traffic from external IPs is allowed. Do this by opening a firewall to allow traffic on port 80.
 
 ### Next: Configuration files
 
 Most people will eventually want to use declarative configuration files for creating/modifying their applications.  A [simplified introduction](simple-yaml)
 is given in a different document.
-
-
-

v1.1/docs/user-guide/simple-yaml.md

@@ -11,8 +11,8 @@ can be code reviewed, producing a more robust, reliable and archival system.
 ```shell
 $ cd kubernetes
 $ kubectl create -f ./pod.yaml
-
 ```
+
 Where pod.yaml contains something like:
 
 <!-- BEGIN MUNGE: EXAMPLE pod.yaml -->
@@ -30,8 +30,8 @@ spec:
     image: nginx
     ports:
     - containerPort: 80
-
 ```
+
 [Download example](pod.yaml)
 <!-- END MUNGE: EXAMPLE pod.yaml -->
 
@@ -39,14 +39,14 @@ You can see your cluster's pods:
 
 ```shell
 $ kubectl get pods
-
 ```
+
 and delete the pod you just created:
 
 ```shell
 $ kubectl delete pods nginx
-
 ```
+
 ### Running a replicated set of containers from a configuration file
 
 To run replicated containers, you need a [Replication Controller](replication-controller).
@@ -56,8 +56,8 @@ cluster.
 ```shell
 $ cd kubernetes
 $ kubectl create -f ./replication.yaml
-
 ```
+
 Where `replication.yaml` contains:
 
 <!-- BEGIN MUNGE: EXAMPLE replication.yaml -->
@@ -82,8 +82,8 @@ spec:
         image: nginx
         ports:
         - containerPort: 80
-
 ```
+
 [Download example](replication.yaml)
 <!-- END MUNGE: EXAMPLE replication.yaml -->
 
@@ -91,5 +91,4 @@ To delete the replication controller (and the pods it created):
 
 ```shell
 $ kubectl delete rc nginx
-
 ```

v1.1/docs/user-guide/ui.md

@@ -13,6 +13,7 @@ If you find that you're not able to access the UI, it may be because the kube-ui
 kubectl create -f cluster/addons/kube-ui/kube-ui-rc.yaml --namespace=kube-system
 kubectl create -f cluster/addons/kube-ui/kube-ui-svc.yaml --namespace=kube-system
 ```
+
 Normally, this should be taken care of automatically by the [`kube-addons.sh`](http://releases.k8s.io/release-1.1/cluster/saltbase/salt/kube-addons/kube-addons.sh) script that runs on the master.
 
 ## Using the UI

v1.1/docs/user-guide/update-demo/index.md

@@ -31,6 +31,7 @@ This example assumes that you have forked the repository and [turned up a Kubern
 $ cd kubernetes
 $ ./cluster/kube-up.sh
 ```
+
 ### Step One: Turn up the UX for the demo
 
 You can use bash job control to run this in the background (note that you must use the default port -- 8001 -- for the following demonstration to work properly).
@@ -42,6 +43,7 @@ Kubernetes repository. Otherwise you will get "404 page not found" errors as the
 $ kubectl proxy --www=docs/user-guide/update-demo/local/ &
 I0218 15:18:31.623279   67480 proxy.go:36] Starting to serve on localhost:8001
 ```
+
 Now visit the the [demo website](http://localhost:8001/static).  You won't see anything much quite yet.
 
 ### Step Two: Run the replication controller
@@ -51,6 +53,7 @@ Now we will turn up two replicas of an [image](../images).  They all serve on in
 ```shell
 $ kubectl create -f docs/user-guide/update-demo/nautilus-rc.yaml
 ```
+
 After pulling the image from the Docker Hub to your worker nodes (which may take a minute or so) you'll see a couple of squares in the UI detailing the pods that are running along with the image that they are serving up.  A cute little nautilus.
 
 ### Step Three: Try scaling the replication controller
@@ -60,6 +63,7 @@ Now we will increase the number of replicas from two to four:
 ```shell
 $ kubectl scale rc update-demo-nautilus --replicas=4
 ```
+
 If you go back to the [demo website](http://localhost:8001/static/index) you should eventually see four boxes, one for each pod.
 
 ### Step Four: Update the docker image
@@ -69,6 +73,7 @@ We will now update the docker image to serve a different image by doing a rollin
 ```shell
 $ kubectl rolling-update update-demo-nautilus --update-period=10s -f docs/user-guide/update-demo/kitten-rc.yaml
 ```
+
 The rolling-update command in kubectl will do 2 things:
 
 1. Create a new [replication controller](/{{page.version}}/docs/user-guide/replication-controller) with a pod template that uses the new image (`gcr.io/google_containers/update-demo:kitten`)
@@ -83,6 +88,7 @@ But if the replica count had been specified, the final replica count of the new
 ```shell
 $ kubectl delete rc update-demo-kitten
 ```
+
 This first stops the replication controller by turning the target number of replicas to 0 and then deletes the controller.
 
 ### Step Six: Cleanup
@@ -92,6 +98,7 @@ To turn down a Kubernetes cluster:
 ```shell
 $ ./cluster/kube-down.sh
 ```
+
 Kill the proxy running in the background:
 After you are done running this demo make sure to kill it:
 
@@ -101,6 +108,7 @@ $ jobs
 $ kill %1
 [1]+  Terminated: 15          ./kubectl proxy --www=local/
 ```
+
 ### Updating the Docker images
 
 If you want to build your own docker images, you can set `$DOCKER_HUB_USER` to your Docker user id and run the included shell script. It can take a few minutes to download/upload stuff.
@@ -109,6 +117,7 @@ If you want to build your own docker images, you can set `$DOCKER_HUB_USER` to y
 $ export DOCKER_HUB_USER=my-docker-id
 $ ./docs/user-guide/update-demo/build-images.sh
 ```
+
 To use your custom docker image in the above examples, you will need to change the image name in `docs/user-guide/update-demo/nautilus-rc.yaml` and `docs/user-guide/update-demo/kitten-rc.yaml`.
 
 ### Image Copyright
@@ -117,6 +126,3 @@ Note that the images included here are public domain.
 
 * [kitten](http://commons.wikimedia.org/wiki/File:Kitten-stare.jpg)
 * [nautilus](http://commons.wikimedia.org/wiki/File:Nautilus_pompilius.jpg)
-
-
-

v1.1/docs/user-guide/volumes.md

@@ -53,6 +53,7 @@ mount each volume.
 ## Types of Volumes
 
 Kubernetes supports several types of Volumes:
+
    * `emptyDir`
    * `hostPath`
    * `gcePersistentDisk`
@@ -144,8 +145,8 @@ Before you can use a GCE PD with a pod, you need to create it.
 
 ```shell
 gcloud compute disks create --size=500GB --zone=us-central1-a my-data-disk
-
 ```
+
 #### Example pod
 
 ```yaml
@@ -166,8 +167,8 @@ spec:
     gcePersistentDisk:
       pdName: my-data-disk
       fsType: ext4
-
 ```
+
 ### awsElasticBlockStore
 
 An `awsElasticBlockStore` volume mounts an Amazon Web Services (AWS) [EBS
@@ -192,8 +193,8 @@ Before you can use a EBS volume with a pod, you need to create it.
 
 ```shell
 aws ec2 create-volume --availability-zone eu-west-1a --size 10 --volume-type gp2
-
 ```
+
 Make sure the zone matches the zone you brought up your cluster in.  (And also check that the size and EBS volume
 type are suitable for your use!)
 
@@ -217,8 +218,8 @@ spec:
     awsElasticBlockStore:
       volumeID: aws://<availability-zone>/<volume-id>
       fsType: ext4
-
 ```
+
 (Note: the syntax of volumeID is currently awkward; #10181 fixes it)
 
 ### nfs
@@ -330,8 +331,8 @@ spec:
     gitRepo:
       repository: "git@somewhere:me/my-git-repository.git"
       revision: "22f1d8406d464b0c0874075539c1f2e96c253775"
-
 ```
+
 ### secret
 
 A `secret` volume is used to pass sensitive information, such as passwords, to
@@ -374,6 +375,3 @@ In the future, we expect that `emptyDir` and `hostPath` volumes will be able to
 request a certain amount of space using a [resource](compute-resources)
 specification, and to select the type of media to use, for clusters that have
 several media types.
-
-
-

v1.1/docs/user-guide/walkthrough/index.md

@@ -38,8 +38,8 @@ spec:
     image: nginx
     ports:
     - containerPort: 80
-
 ```
+
 A pod definition is a declaration of a _desired state_.  Desired state is a very important concept in the Kubernetes model.  Many things present a desired state to the system, and it is Kubernetes' responsibility to make sure that the current state matches the desired state.  For example, when you create a Pod, you declare that you want the containers in it to be running.  If the containers happen to not be running (e.g. program failure, ...), Kubernetes will continue to (re-)create them for you in order to drive them to the desired state. This process continues until the Pod is deleted.
 
 See the [design document](../../design/README) for more details.
@@ -51,28 +51,28 @@ Create a pod containing an nginx server ([pod-nginx.yaml](pod-nginx.yaml)):
 
 ```shell
 $ kubectl create -f docs/user-guide/walkthrough/pod-nginx.yaml
-
 ```
+
 List all pods:
 
 ```shell
 $ kubectl get pods
-
 ```
+
 On most providers, the pod IPs are not externally accessible. The easiest way to test that the pod is working is to create a busybox pod and exec commands on it remotely. See the [command execution documentation](../kubectl/kubectl_exec) for details.
 
 Provided the pod IP is accessible, you should be able to access its http endpoint with curl on port 80:
 
 ```shell
 $ curl http://$(kubectl get pod nginx -o go-template={{.status.podIP}})
-
 ```
+
 Delete the pod by name:
 
 ```shell
 $ kubectl delete pod nginx
-
 ```
+
 #### Volumes
 
 That's great for a simple static web server, but what about persistent storage?
@@ -87,8 +87,8 @@ For this example we'll be creating a Redis pod with a named volume and volume mo
 volumes:
     - name: redis-persistent-storage
       emptyDir: {}
-
 ```
+
 2. Define a volume mount within a container definition:
 
 ```yaml
@@ -97,8 +97,8 @@ volumeMounts:
     - name: redis-persistent-storage
       # mount path within the container
       mountPath: /data/redis
-
 ```
+
 Example Redis pod definition with a persistent storage volume ([pod-redis.yaml](pod-redis.yaml)):
 
 <!-- BEGIN MUNGE: EXAMPLE pod-redis.yaml -->
@@ -118,12 +118,13 @@ spec:
   volumes:
   - name: redis-persistent-storage
     emptyDir: {}
-
 ```
+
 [Download example](pod-redis.yaml)
 <!-- END MUNGE: EXAMPLE pod-redis.yaml -->
 
 Notes:
+
 - The volume mount name is a reference to a specific empty dir volume.
 - The volume mount path is the path to mount the empty dir volume within the container.
 
@@ -167,8 +168,8 @@ spec:
   volumes:
   - name: www-data
     emptyDir: {}
-
 ```
+
 Note that we have also added a volume here.  In this case, the volume is mounted into both containers.  It is marked `readOnly` in the web server's case, since it doesn't need to write to the directory.
 
 Finally, we have also introduced an environment variable to the `git-monitor` container, which allows us to parameterize that container with the particular git repository that we want to track.
@@ -177,7 +178,4 @@ Finally, we have also introduced an environment variable to the `git-monitor` co
 ## What's Next?
 
 Continue on to [Kubernetes 201](k8s201) or
-for a complete application see the [guestbook example](https://github.com/kubernetes/kubernetes/tree/master/examples/guestbook/README)
+for a complete application see the [guestbook example](https://github.com/kubernetes/kubernetes/tree/master/examples/guestbook/)
-
-
-

v1.1/docs/user-guide/walkthrough/k8s201.md

@@ -8,8 +8,6 @@ scaling.
 
 In order for the kubectl usage examples to work, make sure you have an examples directory locally, either from [a release](https://github.com/kubernetes/kubernetes/releases) or [the source](https://github.com/kubernetes/kubernetes).
 
-
-
 {% include pagetoc.html %}
 
 ## Labels
@@ -22,6 +20,7 @@ To add a label, add a labels section under metadata in the pod definition:
 labels:
     app: nginx
 ```
+
 For example, here is the nginx pod definition with labels ([pod-nginx-with-label.yaml](pod-nginx-with-label.yaml)):
 
 <!-- BEGIN MUNGE: EXAMPLE pod-nginx-with-label.yaml -->
@@ -40,6 +39,7 @@ spec:
     ports:
     - containerPort: 80
 ```
+
 [Download example](pod-nginx-with-label.yaml)
 <!-- END MUNGE: EXAMPLE pod-nginx-with-label.yaml -->
 
@@ -48,11 +48,13 @@ Create the labeled pod ([pod-nginx-with-label.yaml](pod-nginx-with-label.yaml)):
 ```shell
 $ kubectl create -f docs/user-guide/walkthrough/pod-nginx-with-label.yaml
 ```
+
 List all pods with the label `app=nginx`:
 
 ```shell
 $ kubectl get pods -l app=nginx
 ```
+
 For more information, see [Labels](../labels).
 They are a core concept used by two additional Kubernetes building blocks: Replication Controllers and Services.
 
@@ -93,6 +95,7 @@ spec:
         ports:
         - containerPort: 80
 ```
+
 [Download example](replication-controller.yaml)
 <!-- END MUNGE: EXAMPLE replication-controller.yaml -->
 
@@ -103,16 +106,19 @@ Create an nginx replication controller ([replication-controller.yaml](replicatio
 ```shell
 $ kubectl create -f docs/user-guide/walkthrough/replication-controller.yaml
 ```
+
 List all replication controllers:
 
 ```shell
 $ kubectl get rc
 ```
+
 Delete the replication controller by name:
 
 ```shell
 $ kubectl delete rc nginx-controller
 ```
+
 For more information, see [Replication Controllers](../replication-controller).
 
 
@@ -142,6 +148,7 @@ spec:
   selector:
     app: nginx
 ```
+
 [Download example](service.yaml)
 <!-- END MUNGE: EXAMPLE service.yaml -->
 
@@ -152,11 +159,13 @@ Create an nginx service ([service.yaml](service.yaml)):
 ```shell
 $ kubectl create -f docs/user-guide/walkthrough/service.yaml
 ```
+
 List all services:
 
 ```shell
 $ kubectl get services
 ```
+
 On most providers, the service IPs are not externally accessible. The easiest way to test that the service is working is to create a busybox pod and exec commands on it remotely. See the [command execution documentation](../kubectl/kubectl_exec) for details.
 
 Provided the service IP is accessible, you should be able to access its http endpoint with curl on port 80:
@@ -166,11 +175,13 @@ $ export SERVICE_IP=$(kubectl get service nginx-service -o go-template={{.spec.c
 $ export SERVICE_PORT=$(kubectl get service nginx-service -o go-template'={{(index .spec.ports 0).port}}')
 $ curl http://${SERVICE_IP}:${SERVICE_PORT}
 ```
+
 To delete the service by name:
 
 ```shell
 $ kubectl delete service nginx-service
 ```
+
 When created, each service is assigned a unique IP address.  This address is tied to the lifespan of the Service, and will not change while the Service is alive.  Pods can be configured to talk to the service, and know that communication to the service will be automatically load-balanced out to some pod that is a member of the set identified by the label selector in the Service.
 
 For more information, see [Services](../services).
@@ -210,6 +221,7 @@ go func() {
 lockTwo.Lock();
 lockOne.Lock();
 ```
+
 This is a classic example of a problem in computer science known as ["Deadlock"](https://en.wikipedia.org/wiki/Deadlock). From Docker's perspective your application is
 still operating and the process is still running, but from your application's perspective your code is locked up and will never respond correctly.
 
@@ -252,6 +264,7 @@ spec:
     ports:
     - containerPort: 80
 ```
+
 [Download example](pod-with-http-healthcheck.yaml)
 <!-- END MUNGE: EXAMPLE pod-with-http-healthcheck.yaml -->
 

v1.1/docs/user-guide/working-with-resources.md

@@ -34,22 +34,21 @@ $ wc -l /tmp/original.yaml /tmp/current.yaml
       51 /tmp/current.yaml
        9 /tmp/original.yaml
       60 total
-
 ```
+
 The resource we posted had only 9 lines, but the one we got back had 51 lines.
 If you `diff -u /tmp/original.yaml /tmp/current.yaml`, you can see the fields added to the pod.
 The system adds fields in several ways:
+
   - Some fields are added synchronously with creation of the resource and some are set asynchronously.
     - For example: `metadata.uid` is set synchronously.  (Read more about [metadata](../devel/api-conventions.html#metadata)).
     - For example, `status.hostIP` is set only after the pod has been scheduled.  This often happens fast, but you may notice pods which do not have this set yet.  This is called Late Initialization.  (Read mode about [status](../devel/api-conventions.html#spec-and-status) and [late initialization](../devel/api-conventions.html#late-initialization) ).
   - Some fields are set to default values.  Some defaults vary by cluster and some are fixed for the API at a certain version.  (Read more about [defaulting](../devel/api-conventions.html#defaulting)).
     - For example, `spec.containers[0].imagePullPolicy` always defaults to `IfNotPresent` in api v1.
     - For example, `spec.containers[0].resources.limits.cpu` may be defaulted to  `100m` on some clusters, to some other value on others, and not defaulted at all on others.
+    
 The API will generally not modify fields that you have set; it just sets ones which were unspecified.
 
 ## <a name="finding_schema_docs"></a>Finding Documentation on Resource Fields
 
 You can browse auto-generated API documentation at the [project website](http://kubernetes.io/v1.1/api-ref) or on [github](https://releases.k8s.io/release-1.1/docs/api-reference).
-
-
-