Consolidate YAML files [part-8] (#9347)

* Consolidate YAML files [part-8]

This PR exacts the YAML files referenced from the following subdirs:

- docs/concepts/workloads
- docs/concepts/configuration
- docs/concepts/policy

The following problems are fixed:

- docs/concepts/workloads/controllers/ doesnt have a 'cronjob.yaml for
  test
- the exactly same `pod.yaml` was used in both the task/config-pod-container
  topic and the concepts/configuration topics.

* Update examples_test.go

* Add missing yaml file.
This commit is contained in:
Qiming
2018-07-03 08:35:20 +08:00
committed by k8s-ci-robot
parent 1b914f4ac7
commit b5f6df9926
26 changed files with 58 additions and 58 deletions
@@ -39,11 +39,11 @@ different flags and/or different memory and cpu requests for different hardware
You can describe a DaemonSet in a YAML file. For example, the `daemonset.yaml` file below describes a DaemonSet that runs the fluentd-elasticsearch Docker image:
{{< code file="daemonset.yaml" >}}
{{< codenew file="controllers/daemonset.yaml" >}}
* Create a DaemonSet based on the YAML file:
```
kubectl create -f daemonset.yaml
kubectl create -f https://k8s.io/examples/controllers/daemonset.yaml
```
### Required Fields
@@ -252,4 +252,4 @@ number of replicas and rolling out updates are more important than controlling e
the Pod runs on. Use a DaemonSet when it is important that a copy of a Pod always run on
all or certain hosts, and when it needs to start before other Pods.
{{% /capture %}}
{{% /capture %}}
@@ -1,42 +0,0 @@
apiVersion: apps/v1
kind: DaemonSet
metadata:
name: fluentd-elasticsearch
namespace: kube-system
labels:
k8s-app: fluentd-logging
spec:
selector:
matchLabels:
name: fluentd-elasticsearch
template:
metadata:
labels:
name: fluentd-elasticsearch
spec:
tolerations:
- key: node-role.kubernetes.io/master
effect: NoSchedule
containers:
- name: fluentd-elasticsearch
image: k8s.gcr.io/fluentd-elasticsearch:1.20
resources:
limits:
memory: 200Mi
requests:
cpu: 100m
memory: 200Mi
volumeMounts:
- name: varlog
mountPath: /var/log
- name: varlibdockercontainers
mountPath: /var/lib/docker/containers
readOnly: true
terminationGracePeriodSeconds: 30
volumes:
- name: varlog
hostPath:
path: /var/log
- name: varlibdockercontainers
hostPath:
path: /var/lib/docker/containers
@@ -40,7 +40,7 @@ The following are typical use cases for Deployments:
The following is an example of a Deployment. It creates a ReplicaSet to bring up three `nginx` Pods:
{{< code file="nginx-deployment.yaml" >}}
{{< codenew file="controllers/nginx-deployment.yaml" >}}
In this example:
@@ -71,7 +71,7 @@ The `template` field contains the following instructions:
To create this Deployment, run the following command:
```shell
kubectl create -f https://raw.githubusercontent.com/kubernetes/website/master/content/en/docs/concepts/workloads/controllers/nginx-deployment.yaml
kubectl create -f https://k8s.io/examples/controllers/nginx-deployment.yaml
```
{{< note >}}
@@ -417,7 +417,7 @@ First, check the revisions of this deployment:
$ kubectl rollout history deployment/nginx-deployment
deployments "nginx-deployment"
REVISION CHANGE-CAUSE
1 kubectl create -f docs/user-guide/nginx-deployment.yaml --record
1 kubectl create -f https://k8s.io/examples/controllers/nginx-deployment.yaml --record
2 kubectl set image deployment/nginx-deployment nginx=nginx:1.9.1
3 kubectl set image deployment/nginx-deployment nginx=nginx:1.91
```
@@ -1,39 +0,0 @@
apiVersion: apps/v1
kind: ReplicaSet
metadata:
name: frontend
labels:
app: guestbook
tier: frontend
spec:
# this replicas value is default
# modify it according to your case
replicas: 3
selector:
matchLabels:
tier: frontend
matchExpressions:
- {key: tier, operator: In, values: [frontend]}
template:
metadata:
labels:
app: guestbook
tier: frontend
spec:
containers:
- name: php-redis
image: gcr.io/google_samples/gb-frontend:v3
resources:
requests:
cpu: 100m
memory: 100Mi
env:
- name: GET_HOSTS_FROM
value: dns
# If your cluster config does not include a dns service, then to
# instead access environment variables to find service host
# info, comment out the 'value: dns' line above, and uncomment the
# line below.
# value: env
ports:
- containerPort: 80
@@ -36,17 +36,17 @@ setting the `ownerReference` field.
Here's a configuration file for a ReplicaSet that has three Pods:
{{< code file="my-repset.yaml" >}}
{{< codenew file="controllers/replicaset.yaml" >}}
If you create the ReplicaSet and then view the Pod metadata, you can see
OwnerReferences field:
```shell
kubectl create -f https://k8s.io/docs/concepts/controllers/my-repset.yaml
kubectl create -f https://k8s.io/examples/controllers/replicaset.yaml
kubectl get pods --output=yaml
```
The output shows that the Pod owner is a ReplicaSet named my-repset:
The output shows that the Pod owner is a ReplicaSet named `my-repset`:
```shell
apiVersion: v1
@@ -110,15 +110,15 @@ field on the `deleteOptions` argument when deleting an Object. Possible values i
Prior to Kubernetes 1.9, the default garbage collection policy for many controller resources was `orphan`.
This included ReplicationController, ReplicaSet, StatefulSet, DaemonSet, and
Deployment. For kinds in the extensions/v1beta1, apps/v1beta1, and apps/v1beta2 group versions, unless you
specify otherwise, dependent objects are orphaned by default. In Kubernetes 1.9, for all kinds in the apps/v1
Deployment. For kinds in the `extensions/v1beta1`, `apps/v1beta1`, and `apps/v1beta2` group versions, unless you
specify otherwise, dependent objects are orphaned by default. In Kubernetes 1.9, for all kinds in the `apps/v1`
group version, dependent objects are deleted by default.
Here's an example that deletes dependents in background:
```shell
kubectl proxy --port=8080
curl -X DELETE localhost:8080/apis/extensions/v1beta1/namespaces/default/replicasets/my-repset \
curl -X DELETE localhost:8080/apis/apps/v1/namespaces/default/replicasets/my-repset \
-d '{"kind":"DeleteOptions","apiVersion":"v1","propagationPolicy":"Background"}' \
-H "Content-Type: application/json"
```
@@ -127,7 +127,7 @@ Here's an example that deletes dependents in foreground:
```shell
kubectl proxy --port=8080
curl -X DELETE localhost:8080/apis/extensions/v1beta1/namespaces/default/replicasets/my-repset \
curl -X DELETE localhost:8080/apis/apps/v1/namespaces/default/replicasets/my-repset \
-d '{"kind":"DeleteOptions","apiVersion":"v1","propagationPolicy":"Foreground"}' \
-H "Content-Type: application/json"
```
@@ -136,7 +136,7 @@ Here's an example that orphans dependents:
```shell
kubectl proxy --port=8080
curl -X DELETE localhost:8080/apis/extensions/v1beta1/namespaces/default/replicasets/my-repset \
curl -X DELETE localhost:8080/apis/apps/v1/namespaces/default/replicasets/my-repset \
-d '{"kind":"DeleteOptions","apiVersion":"v1","propagationPolicy":"Orphan"}' \
-H "Content-Type: application/json"
```
@@ -1,11 +0,0 @@
apiVersion: autoscaling/v1
kind: HorizontalPodAutoscaler
metadata:
name: frontend-scaler
spec:
scaleTargetRef:
kind: ReplicaSet
name: frontend
minReplicas: 3
maxReplicas: 10
targetCPUUtilizationPercentage: 50
@@ -1,14 +0,0 @@
apiVersion: batch/v1
kind: Job
metadata:
name: pi
spec:
template:
spec:
containers:
- name: pi
image: perl
command: ["perl", "-Mbignum=bpi", "-wle", "print bpi(2000)"]
restartPolicy: Never
backoffLimit: 4
@@ -31,12 +31,12 @@ A Job can also be used to run multiple pods in parallel.
Here is an example Job config. It computes π to 2000 places and prints it out.
It takes around 10s to complete.
{{< code file="job.yaml" >}}
{{< codenew file="controllers/job.yaml" >}}
Run the example job by downloading the example file and then running this command:
```shell
$ kubectl create -f ./job.yaml
$ kubectl create -f https://k8s.io/examples/controllers/job.yaml
job "pi" created
```
@@ -401,4 +401,4 @@ object, but complete control over what pods are created and how work is assigned
Support for creating Jobs at specified times/dates (i.e. cron) is available in Kubernetes [1.4](https://github.com/kubernetes/kubernetes/pull/11980). More information is available in the [cron job documents](/docs/concepts/workloads/controllers/cron-jobs/)
{{% /capture %}}
{{% /capture %}}
@@ -1,17 +0,0 @@
apiVersion: apps/v1
kind: ReplicaSet
metadata:
name: my-repset
spec:
replicas: 3
selector:
matchLabels:
pod-is-for: garbage-collection-example
template:
metadata:
labels:
pod-is-for: garbage-collection-example
spec:
containers:
- name: nginx
image: nginx
@@ -1,21 +0,0 @@
apiVersion: apps/v1
kind: Deployment
metadata:
name: nginx-deployment
labels:
app: nginx
spec:
replicas: 3
selector:
matchLabels:
app: nginx
template:
metadata:
labels:
app: nginx
spec:
containers:
- name: nginx
image: nginx:1.7.9
ports:
- containerPort: 80
@@ -51,13 +51,13 @@ use a Deployment instead, and define your application in the spec section.
## Example
{{< code file="frontend.yaml" >}}
{{< codenew file="controllers/frontend.yaml" >}}
Saving this manifest into `frontend.yaml` and submitting it to a Kubernetes cluster should
create the defined ReplicaSet and the pods that it manages.
```shell
$ kubectl create -f frontend.yaml
$ kubectl create -f http://k8s.io/examples/controllers/frontend.yaml
replicaset "frontend" created
$ kubectl describe rs/frontend
Name: frontend
@@ -192,14 +192,14 @@ A ReplicaSet can also be a target for
a ReplicaSet can be auto-scaled by an HPA. Here is an example HPA targeting
the ReplicaSet we created in the previous example.
{{< code file="hpa-rs.yaml" >}}
{{< codenew file="controllers/hpa-rs.yaml" >}}
Saving this manifest into `hpa-rs.yaml` and submitting it to a Kubernetes cluster should
create the defined HPA that autoscales the target ReplicaSet depending on the CPU usage
of the replicated pods.
```shell
kubectl create -f hpa-rs.yaml
kubectl create -f https://k8s.io/examples/controllers/hpa-rs.yaml
```
Alternatively, you can use the `kubectl autoscale` command to accomplish the same
@@ -1,19 +0,0 @@
apiVersion: v1
kind: ReplicationController
metadata:
name: nginx
spec:
replicas: 3
selector:
app: nginx
template:
metadata:
name: nginx
labels:
app: nginx
spec:
containers:
- name: nginx
image: nginx
ports:
- containerPort: 80
@@ -44,12 +44,12 @@ service, such as web servers.
This example ReplicationController config runs three copies of the nginx web server.
{{< code file="replication.yaml" >}}
{{< codenew file="controllers/replication.yaml" >}}
Run the example job by downloading the example file and then running this command:
```shell
$ kubectl create -f ./replication.yaml
$ kubectl create -f https://k8s.io/examples/controllers/replication.yaml
replicationcontroller "nginx" created
```