Merge remote-tracking branch 'upstream/main' into dev-1.23
This commit is contained in:
Jesse Butler
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After Width: | Height: | Size: 23 KiB |
@@ -0,0 +1,118 @@
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||||
---
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||||
layout: blog
|
||||
title: 'Quality-of-Service for Memory Resources'
|
||||
date: 2021-11-26
|
||||
slug: qos-memory-resources
|
||||
---
|
||||
|
||||
**Authors:** Tim Xu (Tencent Cloud)
|
||||
|
||||
Kubernetes v1.22, released in August 2021, introduced a new alpha feature that improves how Linux nodes implement memory resource requests and limits.
|
||||
|
||||
In prior releases, Kubernetes did not support memory quality guarantees.
|
||||
For example, if you set container resources as follows:
|
||||
```
|
||||
apiVersion: v1
|
||||
kind: Pod
|
||||
metadata:
|
||||
name: example
|
||||
spec:
|
||||
containers:
|
||||
- name: nginx
|
||||
resources:
|
||||
requests:
|
||||
memory: "64Mi"
|
||||
cpu: "250m"
|
||||
limits:
|
||||
memory: "64Mi"
|
||||
cpu: "500m"
|
||||
```
|
||||
`spec.containers[].resources.requests`(e.g. cpu, memory) is designed for scheduling. When you create a Pod, the Kubernetes scheduler selects a node for the Pod to run on. Each node has a maximum capacity for each of the resource types: the amount of CPU and memory it can provide for Pods. The scheduler ensures that, for each resource type, the sum of the resource requests of the scheduled Containers is less than the capacity of the node.
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||||
|
||||
`spec.containers[].resources.limits` is passed to the container runtime when the kubelet starts a container. CPU is considered a "compressible" resource. If your app starts hitting your CPU limits, Kubernetes starts throttling your container, giving your app potentially worse performance. However, it won’t be terminated. That is what "compressible" means.
|
||||
|
||||
In cgroup v1, and prior to this feature, the container runtime never took into account and effectively ignored spec.containers[].resources.requests["memory"]. This is unlike CPU, in which the container runtime consider both requests and limits. Furthermore, memory actually can't be compressed in cgroup v1. Because there is no way to throttle memory usage, if a container goes past its memory limit it will be terminated by the kernel with an OOM (Out of Memory) kill.
|
||||
|
||||
Fortunately, cgroup v2 brings a new design and implementation to achieve full protection on memory. The new feature relies on cgroups v2 which most current operating system releases for Linux already provide. With this experimental feature, [quality-of-service for pods and containers](/docs/tasks/configure-pod-container/quality-service-pod/) extends to cover not just CPU time but memory as well.
|
||||
|
||||
## How does it work?
|
||||
Memory QoS uses the memory controller of cgroup v2 to guarantee memory resources in Kubernetes. Memory requests and limits of containers in pod are used to set specific interfaces `memory.min` and `memory.high` provided by the memory controller. When `memory.min` is set to memory requests, memory resources are reserved and never reclaimed by the kernel; this is how Memory QoS ensures the availability of memory for Kubernetes pods. And if memory limits are set in the container, this means that the system needs to limit container memory usage, Memory QoS uses `memory.high` to throttle workload approaching it's memory limit, ensuring that the system is not overwhelmed by instantaneous memory allocation.
|
||||
|
||||
|
||||
|
||||
The following table details the specific functions of these two parameters and how they correspond to Kubernetes container resources.
|
||||
|
||||
<table>
|
||||
<tr>
|
||||
<th style="text-align:center">File</th>
|
||||
<th style="text-align:center">Description</th>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>memory.min</td>
|
||||
<td><code>memory.min</code> specifies a minimum amount of memory the cgroup must always retain, i.e., memory that can never be reclaimed by the system. If the cgroup's memory usage reaches this low limit and can’t be increased, the system OOM killer will be invoked.
|
||||
<br>
|
||||
<br>
|
||||
<i>We map it to the container's memory request</i>
|
||||
</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>memory.high</td>
|
||||
<td><code>memory.high</code> is the memory usage throttle limit. This is the main mechanism to control a cgroup's memory use. If a cgroup's memory use goes over the high boundary specified here, the cgroup’s processes are throttled and put under heavy reclaim pressure. The default is max, meaning there is no limit.
|
||||
<br>
|
||||
<br>
|
||||
<i>We use a formula to calculate <code>memory.high</code>, depending on container's memory limit or node allocatable memory (if container's memory limit is empty) and a throttling factor. Please refer to the KEP for more details on the formula.</i>
|
||||
</td>
|
||||
</tr>
|
||||
</table>
|
||||
|
||||
When container memory requests are made, kubelet passes `memory.min` to the back-end CRI runtime (possibly containerd, cri-o) via the `Unified` field in CRI during container creation. The `memory.min` in container level cgroup will be set to:
|
||||
|
||||
|
||||
<sub>i: the i<sup>th</sup> container in one pod</sub>
|
||||
|
||||
Since the `memory.min` interface requires that the ancestor cgroup directories are all set, the pod and node cgroup directories need to be set correctly.
|
||||
|
||||
`memory.min` in pod level cgroup:
|
||||
|
||||
<sub>i: the i<sup>th</sup> container in one pod</sub>
|
||||
|
||||
`memory.min` in node level cgroup:
|
||||
|
||||
<sub>i: the i<sup>th</sup> pod in one node, j: the j<sup>th</sup> container in one pod</sub>
|
||||
|
||||
Kubelet will manage the cgroup hierarchy of the pod level and node level cgroups directly using runc libcontainer library, while container cgroup limits are managed by the container runtime.
|
||||
|
||||
For memory limits, in addition to the original way of limiting memory usage, Memory QoS adds an additional feature of throttling memory allocation. A throttling factor is introduced as a multiplier (default is 0.8). If the result of multiplying memory limits by the factor is greater than memory requests, kubelet will set `memory.high` to the value and use `Unified` via CRI. And if the container does not specify memory limits, kubelet will use node allocatable memory instead. The `memory.high` in container level cgroup is set to:
|
||||
|
||||
|
||||
<sub>i: the i<sup>th</sup> container in one pod</sub>
|
||||
|
||||
This can can help improve stability when pod memory usage increases, ensuring that memory is throttled as it approaches the memory limit.
|
||||
|
||||
## How do I use it?
|
||||
Here are the prerequisites for enabling Memory QoS on your Linux node, some of these are related to [Kubernetes support for cgroup v2](https://github.com/kubernetes/enhancements/tree/master/keps/sig-node/2254-cgroup-v2).
|
||||
|
||||
1. Kubernetes since v1.22
|
||||
2. [runc](https://github.com/opencontainers/runc) since v1.0.0-rc93; [containerd](https://containerd.io/) since 1.4; [cri-o](https://cri-o.io/) since 1.20
|
||||
3. Linux kernel minimum version: 4.15, recommended version: 5.2+
|
||||
4. Linux image with cgroupv2 enabled or enabling cgroupv2 unified_cgroup_hierarchy manually
|
||||
|
||||
OCI runtimes such as runc and crun already support cgroups v2 [`Unified`](https://github.com/opencontainers/runtime-spec/blob/master/config-linux.md#unified), and Kubernetes CRI has also made the desired changes to support passing [`Unified`](https://github.com/kubernetes/kubernetes/pull/102578). However, CRI Runtime support is required as well. Memory QoS in Alpha phase is designed to support containerd and cri-o. Related PR [Feature: containerd-cri support LinuxContainerResources.Unified #5627](https://github.com/containerd/containerd/pull/5627) has been merged and will be released in containerd 1.6. CRI-O [implement kube alpha features for 1.22 #5207](https://github.com/cri-o/cri-o/pull/5207) is still in WIP.
|
||||
|
||||
With those prerequisites met, you can enable the memory QoS feature gate (see [Set kubelet parameters via a config file](/docs/tasks/administer-cluster/kubelet-config-file/)).
|
||||
|
||||
## How can I learn more?
|
||||
|
||||
You can find more details as follows:
|
||||
- [Support Memory QoS with cgroup v2](https://github.com/kubernetes/enhancements/tree/master/keps/sig-node/2570-memory-qos/#readme)
|
||||
- [cgroup v2](https://github.com/kubernetes/enhancements/tree/master/keps/sig-node/2254-cgroup-v2/#readme)
|
||||
|
||||
## How do I get involved?
|
||||
You can reach SIG Node by several means:
|
||||
- Slack: [#sig-node](https://kubernetes.slack.com/messages/sig-node)
|
||||
- [Mailing list](https://groups.google.com/forum/#!forum/kubernetes-sig-node)
|
||||
- [Open Community Issues/PRs](https://github.com/kubernetes/community/labels/sig%2Fnode)
|
||||
|
||||
You can also contact me directly:
|
||||
- GitHub / Slack: @xiaoxubeii
|
||||
- Email: xiaoxubeii@gmail.com
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||||
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|
||||
|
After Width: | Height: | Size: 28 KiB |
@@ -260,12 +260,6 @@ Multus supports all [reference plugins](https://github.com/containernetworking/p
|
||||
|
||||
[NSX-T Container Plug-in (NCP)](https://docs.vmware.com/en/VMware-NSX-T/2.0/nsxt_20_ncp_kubernetes.pdf) provides integration between NSX-T and container orchestrators such as Kubernetes, as well as integration between NSX-T and container-based CaaS/PaaS platforms such as Pivotal Container Service (PKS) and OpenShift.
|
||||
|
||||
### OpenVSwitch
|
||||
|
||||
[OpenVSwitch](https://www.openvswitch.org/) is a somewhat more mature but also
|
||||
complicated way to build an overlay network. This is endorsed by several of the
|
||||
"Big Shops" for networking.
|
||||
|
||||
### OVN (Open Virtual Networking)
|
||||
|
||||
OVN is an opensource network virtualization solution developed by the
|
||||
|
||||
@@ -145,7 +145,7 @@ Kubernetes provides several built-in authentication methods, and an [Authenticat
|
||||
|
||||
### Authorization
|
||||
|
||||
[Authorization](/docs/reference/access-authn-authz/webhook/) determines whether specific users can read, write, and do other operations on API resources. It works at the level of whole resources -- it doesn't discriminate based on arbitrary object fields. If the built-in authorization options don't meet your needs, and [Authorization webhook](/docs/reference/access-authn-authz/webhook/) allows calling out to user-provided code to make an authorization decision.
|
||||
[Authorization](/docs/reference/access-authn-authz/authorization/) determines whether specific users can read, write, and do other operations on API resources. It works at the level of whole resources -- it doesn't discriminate based on arbitrary object fields. If the built-in authorization options don't meet your needs, [Authorization webhook](/docs/reference/access-authn-authz/webhook/) allows calling out to user-provided code to make an authorization decision.
|
||||
|
||||
|
||||
### Dynamic Admission Control
|
||||
|
||||
@@ -39,7 +39,7 @@ namespace.
|
||||
|
||||
DNS queries may be expanded using the pod's `/etc/resolv.conf`. Kubelet
|
||||
sets this file for each pod. For example, a query for just `data` may be
|
||||
expanded to `data.test.cluster.local`. The values of the `search` option
|
||||
expanded to `data.test.svc.cluster.local`. The values of the `search` option
|
||||
are used to expand queries. To learn more about DNS queries, see
|
||||
[the `resolv.conf` manual page.](https://www.man7.org/linux/man-pages/man5/resolv.conf.5.html)
|
||||
|
||||
|
||||
@@ -550,7 +550,7 @@ The default is `ClusterIP`.
|
||||
* `ClusterIP`: Exposes the Service on a cluster-internal IP. Choosing this value
|
||||
makes the Service only reachable from within the cluster. This is the
|
||||
default `ServiceType`.
|
||||
* [`NodePort`](#nodeport): Exposes the Service on each Node's IP at a static port
|
||||
* [`NodePort`](#type-nodeport): Exposes the Service on each Node's IP at a static port
|
||||
(the `NodePort`). A `ClusterIP` Service, to which the `NodePort` Service
|
||||
routes, is automatically created. You'll be able to contact the `NodePort` Service,
|
||||
from outside the cluster,
|
||||
|
||||
@@ -71,7 +71,7 @@ volume mount will not receive updates for those volume sources.
|
||||
|
||||
## SecurityContext interactions
|
||||
|
||||
The [proposal for file permission handling in projected service account volume](https://github.com/kubernetes/enhancements/pull/1598)
|
||||
The [proposal for file permission handling in projected service account volume](https://github.com/kubernetes/enhancements/tree/master/keps/sig-storage/2451-service-account-token-volumes#token-volume-projection)
|
||||
enhancement introduced the projected files having the the correct owner
|
||||
permissions set.
|
||||
|
||||
@@ -100,6 +100,8 @@ into their own volume mount outside of `C:\`.
|
||||
By default, the projected files will have the following ownership as shown for
|
||||
an example projected volume file:
|
||||
```powershell
|
||||
PS C:\> Get-Acl C:\var\run\secrets\kubernetes.io\serviceaccount\..2021_08_31_22_22_18.318230061\ca.crt | Format-List
|
||||
|
||||
Path : Microsoft.PowerShell.Core\FileSystem::C:\var\run\secrets\kubernetes.io\serviceaccount\..2021_08_31_22_22_18.318230061\ca.crt
|
||||
Owner : BUILTIN\Administrators
|
||||
Group : NT AUTHORITY\SYSTEM
|
||||
|
||||
@@ -470,14 +470,14 @@ This internal provisioner of OpenStack is deprecated. Please use [the external c
|
||||
|
||||
There are two types of provisioners for vSphere storage classes:
|
||||
|
||||
- [CSI provisioner](#csi-provisioner): `csi.vsphere.vmware.com`
|
||||
- [CSI provisioner](#vsphere-provisioner-csi): `csi.vsphere.vmware.com`
|
||||
- [vCP provisioner](#vcp-provisioner): `kubernetes.io/vsphere-volume`
|
||||
|
||||
In-tree provisioners are [deprecated](/blog/2019/12/09/kubernetes-1-17-feature-csi-migration-beta/#why-are-we-migrating-in-tree-plugins-to-csi). For more information on the CSI provisioner, see [Kubernetes vSphere CSI Driver](https://vsphere-csi-driver.sigs.k8s.io/) and [vSphereVolume CSI migration](/docs/concepts/storage/volumes/#csi-migration-5).
|
||||
|
||||
#### CSI Provisioner {#vsphere-provisioner-csi}
|
||||
|
||||
The vSphere CSI StorageClass provisioner works with Tanzu Kubernetes clusters. For an example, refer to the [vSphere CSI repository](https://raw.githubusercontent.com/kubernetes-sigs/vsphere-csi-driver/master/example/vanilla-k8s-file-driver/example-sc.yaml).
|
||||
The vSphere CSI StorageClass provisioner works with Tanzu Kubernetes clusters. For an example, refer to the [vSphere CSI repository](https://github.com/kubernetes-sigs/vsphere-csi-driver/blob/master/example/vanilla-k8s-RWM-filesystem-volumes/example-sc.yaml).
|
||||
|
||||
#### vCP Provisioner
|
||||
|
||||
|
||||
@@ -811,7 +811,7 @@ For more details, see the [Portworx volume](https://github.com/kubernetes/exampl
|
||||
### projected
|
||||
|
||||
A projected volume maps several existing volume sources into the same
|
||||
directory. For more details, see [projected volumes](/docs/concepts/storage/projected-volumes/)
|
||||
directory. For more details, see [projected volumes](/docs/concepts/storage/projected-volumes/).
|
||||
|
||||
### quobyte (deprecated) {#quobyte}
|
||||
|
||||
|
||||
@@ -250,7 +250,7 @@ back-off count is reset when a Job's Pod is deleted or successful without any
|
||||
other Pods for the Job failing around that time.
|
||||
|
||||
{{< note >}}
|
||||
If your job has `restartPolicy = "OnFailure"`, keep in mind that your container running the Job
|
||||
If your job has `restartPolicy = "OnFailure"`, keep in mind that your Pod running the Job
|
||||
will be terminated once the job backoff limit has been reached. This can make debugging the Job's executable more difficult. We suggest setting
|
||||
`restartPolicy = "Never"` when debugging the Job or using a logging system to ensure output
|
||||
from failed Jobs is not lost inadvertently.
|
||||
@@ -346,6 +346,25 @@ If the field is set to `0`, the Job will be eligible to be automatically deleted
|
||||
immediately after it finishes. If the field is unset, this Job won't be cleaned
|
||||
up by the TTL controller after it finishes.
|
||||
|
||||
{{< note >}}
|
||||
It is recommended to set `ttlSecondsAfterFinished` field because unmanaged jobs
|
||||
(Jobs that you created directly, and not indirectly through other workload APIs
|
||||
such as CronJob) have a default deletion
|
||||
policy of `orphanDependents` causing Pods created by an unmanaged Job to be left around
|
||||
after that Job is fully deleted.
|
||||
Even though the {{< glossary_tooltip text="control plane" term_id="control-plane" >}} eventually
|
||||
[garbage collects](/docs/concepts/workloads/pods/pod-lifecycle/#pod-garbage-collection)
|
||||
the Pods from a deleted Job after they either fail or complete, sometimes those
|
||||
lingering pods may cause cluster performance degradation or in worst case cause the
|
||||
cluster to go offline due to this degradation.
|
||||
|
||||
You can use [LimitRanges](/docs/concepts/policy/limit-range/) and
|
||||
[ResourceQuotas](/docs/concepts/policy/resource-quotas/) to place a
|
||||
cap on the amount of resources that a particular namespace can
|
||||
consume.
|
||||
{{< /note >}}
|
||||
|
||||
|
||||
## Job patterns
|
||||
|
||||
The Job object can be used to support reliable parallel execution of Pods. The Job object is not
|
||||
|
||||
@@ -128,8 +128,8 @@ The "intended" number of pods is computed from the `.spec.replicas` of the workl
|
||||
that is managing those pods. The control plane discovers the owning workload resource by
|
||||
examining the `.metadata.ownerReferences` of the Pod.
|
||||
|
||||
PDBs cannot prevent [involuntary disruptions](#voluntary-and-involuntary-disruptions) from
|
||||
occurring, but they do count against the budget.
|
||||
[Involuntary disruptions](#voluntary-and-involuntary-disruptions) cannot be prevented by PDBs; however they
|
||||
do count against the budget.
|
||||
|
||||
Pods which are deleted or unavailable due to a rolling upgrade to an application do count
|
||||
against the disruption budget, but workload resources (such as Deployment and StatefulSet)
|
||||
|
||||
@@ -26,6 +26,7 @@ Each day in a week-long shift as PR Wrangler:
|
||||
- If you need to verify content, comment on the PR and request more details.
|
||||
- Assign relevant `sig/` label(s).
|
||||
- If needed, assign reviewers from the `reviewers:` block in the file's front matter.
|
||||
- You can also tag a [SIG](https://github.com/kubernetes/community/blob/master/sig-list.md) for a review by commenting `@kubernetes/<sig>-pr-reviews` on the PR.
|
||||
- Use the `/approve` comment to approve a PR for merging. Merge the PR when ready.
|
||||
- PRs should have a `/lgtm` comment from another member before merging.
|
||||
- Consider accepting technically accurate content that doesn't meet the [style guidelines](/docs/contribute/style/style-guide/). Open a new issue with the label `good first issue` to address style concerns.
|
||||
|
||||
@@ -14,7 +14,7 @@ For additional information on creating new content for the Kubernetes
|
||||
documentation, read the [Documentation Content Guide](/docs/contribute/style/content-guide/).
|
||||
|
||||
Changes to the style guide are made by SIG Docs as a group. To propose a change
|
||||
or addition, [add it to the agenda](https://docs.google.com/document/d/1ddHwLK3kUMX1wVFIwlksjTk0MsqitBnWPe1LRa1Rx5A/edit) for an upcoming SIG Docs meeting, and attend the meeting to participate in the
|
||||
or addition, [add it to the agenda](https://bit.ly/sig-docs-agenda) for an upcoming SIG Docs meeting, and attend the meeting to participate in the
|
||||
discussion.
|
||||
|
||||
<!-- body -->
|
||||
|
||||
@@ -22,5 +22,5 @@ tags:
|
||||
|
||||
<!--more-->
|
||||
|
||||
PDBs cannot prevent an involuntary disruption, but
|
||||
will count against the budget.
|
||||
Involuntary disruptions cannot be prevented by PDBs; however they
|
||||
do count against the budget.
|
||||
|
||||
@@ -289,10 +289,11 @@ kubectl scale --replicas=5 rc/foo rc/bar rc/baz # Scale multip
|
||||
## Deleting resources
|
||||
|
||||
```bash
|
||||
kubectl delete -f ./pod.json # Delete a pod using the type and name specified in pod.json
|
||||
kubectl delete pod,service baz foo # Delete pods and services with same names "baz" and "foo"
|
||||
kubectl delete pods,services -l name=myLabel # Delete pods and services with label name=myLabel
|
||||
kubectl -n my-ns delete pod,svc --all # Delete all pods and services in namespace my-ns,
|
||||
kubectl delete -f ./pod.json # Delete a pod using the type and name specified in pod.json
|
||||
kubectl delete pod unwanted --now # Delete a pod with no grace period
|
||||
kubectl delete pod,service baz foo # Delete pods and services with same names "baz" and "foo"
|
||||
kubectl delete pods,services -l name=myLabel # Delete pods and services with label name=myLabel
|
||||
kubectl -n my-ns delete pod,svc --all # Delete all pods and services in namespace my-ns,
|
||||
# Delete all pods matching the awk pattern1 or pattern2
|
||||
kubectl get pods -n mynamespace --no-headers=true | awk '/pattern1|pattern2/{print $1}' | xargs kubectl delete -n mynamespace pod
|
||||
```
|
||||
@@ -323,6 +324,24 @@ kubectl exec my-pod -c my-container -- ls / # Run command in existing po
|
||||
kubectl top pod POD_NAME --containers # Show metrics for a given pod and its containers
|
||||
kubectl top pod POD_NAME --sort-by=cpu # Show metrics for a given pod and sort it by 'cpu' or 'memory'
|
||||
```
|
||||
## Copy files and directories to and from containers
|
||||
|
||||
```bash
|
||||
kubectl cp /tmp/foo_dir my-pod:/tmp/bar_dir # Copy /tmp/foo_dir local directory to /tmp/bar_dir in a remote pod in the current namespace
|
||||
kubectl cp /tmp/foo my-pod:/tmp/bar -c my-container # Copy /tmp/foo local file to /tmp/bar in a remote pod in a specific container
|
||||
kubectl cp /tmp/foo my-namespace/my-pod:/tmp/bar # Copy /tmp/foo local file to /tmp/bar in a remote pod in namespace my-namespace
|
||||
kubectl cp my-namespace/my-pod:/tmp/foo /tmp/bar # Copy /tmp/foo from a remote pod to /tmp/bar locally
|
||||
```
|
||||
{{< note >}}
|
||||
`kubectl cp` requires that the 'tar' binary is present in your container image. If 'tar' is not present,`kubectl cp` will fail.
|
||||
For advanced use cases, such as symlinks, wildcard expansion or file mode preservation consider using `kubectl exec`.
|
||||
{{< /note >}}
|
||||
|
||||
```bash
|
||||
tar cf - /tmp/foo | kubectl exec -i -n my-namespace my-pod -- tar xf - -C /tmp/bar # Copy /tmp/foo local file to /tmp/bar in a remote pod in namespace my-namespace
|
||||
kubectl exec -n my-namespace my-pod -- tar cf - /tmp/foo | tar xf - -C /tmp/bar # Copy /tmp/foo from a remote pod to /tmp/bar locally
|
||||
```
|
||||
|
||||
|
||||
## Interacting with Deployments and Services
|
||||
```bash
|
||||
|
||||
@@ -91,6 +91,7 @@ If:
|
||||
* the `KUBERNETES_SERVICE_HOST` environment variable is set, and
|
||||
* the `KUBERNETES_SERVICE_PORT` environment variable is set, and
|
||||
* you don't explicitly specify a namespace on the kubectl command line
|
||||
|
||||
then kubectl assumes it is running in your cluster. The kubectl tool looks up the
|
||||
namespace of that ServiceAccount (this is the same as the namespace of the Pod)
|
||||
and acts against that namespace. This is different from what happens outside of a
|
||||
@@ -545,4 +546,3 @@ Current user: plugins-user
|
||||
|
||||
* To find out more about plugins, take a look at the [example cli plugin](https://github.com/kubernetes/sample-cli-plugin).
|
||||
|
||||
|
||||
|
||||
@@ -36,10 +36,9 @@ Example: `kubernetes.io/metadata.name=mynamespace`
|
||||
|
||||
Used on: Namespaces
|
||||
|
||||
When the `NamespaceDefaultLabelName`
|
||||
[feature gate](/docs/reference/command-line-tools-reference/feature-gates/) is enabled,
|
||||
the Kubernetes API server sets this label on all namespaces. The label value is set to
|
||||
the name of the namespace.
|
||||
The Kubernetes API server (part of the {{< glossary_tooltip text="control plane" term_id="control-plane" >}})
|
||||
sets this label on all namespaces. The label value is set
|
||||
to the name of the namespace. You can't change this label's value.
|
||||
|
||||
This is useful if you want to target a specific namespace with a label
|
||||
{{< glossary_tooltip text="selector" term_id="selector" >}}.
|
||||
|
||||
@@ -49,3 +49,19 @@ Use Kompose to:
|
||||
* Translate a Docker Compose file into Kubernetes objects
|
||||
* Go from local Docker development to managing your application via Kubernetes
|
||||
* Convert v1 or v2 Docker Compose `yaml` files or [Distributed Application Bundles](https://docs.docker.com/compose/bundles/)
|
||||
|
||||
## Kui
|
||||
|
||||
[`Kui`](https://github.com/kubernetes-sigs/kui) is a GUI tool that takes your normal
|
||||
`kubectl` command line requests and responds with graphics.
|
||||
|
||||
Kui takes the normal `kubectl` command line requests and responds with graphics. Instead
|
||||
of ASCII tables, Kui provides a GUI rendering with tables that you can sort.
|
||||
|
||||
Kui lets you:
|
||||
|
||||
* Directly click on long, auto-generated resource names instead of copying and pasting
|
||||
* Type in `kubectl` commands and see them execute, even sometimes faster than `kubectl` itself
|
||||
* Query a {{< glossary_tooltip text="Job" term_id="job">}} and see its execution rendered
|
||||
as a waterfall diagram
|
||||
* Click through resources in your cluster using a tabbed UI
|
||||
@@ -19,12 +19,12 @@ The `healthz` endpoint is deprecated (since Kubernetes v1.16), and you should us
|
||||
The `livez` endpoint can be used with the `--livez-grace-period` [flag](/docs/reference/command-line-tools-reference/kube-apiserver) to specify the startup duration.
|
||||
For a graceful shutdown you can specify the `--shutdown-delay-duration` [flag](/docs/reference/command-line-tools-reference/kube-apiserver) with the `/readyz` endpoint.
|
||||
Machines that check the `healthz`/`livez`/`readyz` of the API server should rely on the HTTP status code.
|
||||
A status code `200` indicates the API server is `healthy`/`live`/`ready`, depending of the called endpoint.
|
||||
The more verbose options shown below are intended to be used by human operators to debug their cluster or specially the state of the API server.
|
||||
A status code `200` indicates the API server is `healthy`/`live`/`ready`, depending on the called endpoint.
|
||||
The more verbose options shown below are intended to be used by human operators to debug their cluster or understand the state of the API server.
|
||||
|
||||
The following examples will show how you can interact with the health API endpoints.
|
||||
|
||||
For all endpoints you can use the `verbose` parameter to print out the checks and their status.
|
||||
For all endpoints, you can use the `verbose` parameter to print out the checks and their status.
|
||||
This can be useful for a human operator to debug the current status of the API server, it is not intended to be consumed by a machine:
|
||||
|
||||
```shell
|
||||
@@ -93,7 +93,7 @@ The output show that the `etcd` check is excluded:
|
||||
|
||||
{{< feature-state state="alpha" >}}
|
||||
|
||||
Each individual health check exposes an HTTP endpoint and could can be checked individually.
|
||||
Each individual health check exposes an HTTP endpoint and can be checked individually.
|
||||
The schema for the individual health checks is `/livez/<healthcheck-name>` where `livez` and `readyz` and be used to indicate if you want to check the liveness or the readiness of the API server.
|
||||
The `<healthcheck-name>` path can be discovered using the `verbose` flag from above and take the path between `[+]` and `ok`.
|
||||
These individual health checks should not be consumed by machines but can be helpful for a human operator to debug a system:
|
||||
|
||||
@@ -79,7 +79,7 @@ If systemd doesn't use cgroup v2 by default, you can configure the system to use
|
||||
# dnf install -y grubby && \
|
||||
sudo grubby \
|
||||
--update-kernel=ALL \
|
||||
--args=”systemd.unified_cgroup_hierarchy=1"
|
||||
--args="systemd.unified_cgroup_hierarchy=1"
|
||||
```
|
||||
|
||||
To apply the configuration, it is necessary to reboot the node.
|
||||
|
||||
@@ -383,6 +383,12 @@ Run 'kubectl get nodes' on control-plane to see this machine join.
|
||||
A few seconds later, you should notice this node in the output from `kubectl get
|
||||
nodes` when run on the control-plane node.
|
||||
|
||||
{{< note >}}
|
||||
As the cluster nodes are usually initialized sequentially, the CoreDNS Pods are likely to all run
|
||||
on the first control-plane node. To provide higher availability, please rebalance the CoreDNS Pods
|
||||
with `kubectl -n kube-system rollout restart deployment coredns` after at least one new node is joined.
|
||||
{{< /note >}}
|
||||
|
||||
### (Optional) Controlling your cluster from machines other than the control-plane node
|
||||
|
||||
In order to get a kubectl on some other computer (e.g. laptop) to talk to your
|
||||
|
||||
@@ -76,7 +76,7 @@ then paging can slow down performance.
|
||||
You can place bounds on memory use for workloads using the kubelet
|
||||
parameters `--kubelet-reserve` and/or `--system-reserve`; these account
|
||||
for memory usage on the node (outside of containers), and reduce
|
||||
[NodeAllocatable](/docs/tasks/administer-cluster/reserve-compute-resources/#node-allocatable)).
|
||||
[NodeAllocatable](/docs/tasks/administer-cluster/reserve-compute-resources/#node-allocatable).
|
||||
As you deploy workloads, set resource limits on containers. This also subtracts from
|
||||
`NodeAllocatable` and prevents the scheduler from adding more pods once a node is full.
|
||||
|
||||
|
||||
@@ -158,7 +158,7 @@ Install-WindowsFeature -Name containers
|
||||
```
|
||||
|
||||
Install Docker
|
||||
Instructions to do so are available at [Install Docker Engine - Enterprise on Windows Servers](https://hub.docker.com/editions/enterprise/docker-ee-server-windows).
|
||||
Instructions to do so are available at [Install Docker Engine - Enterprise on Windows Servers](https://docs.microsoft.com/en-us/virtualization/windowscontainers/quick-start/set-up-environment?tabs=Windows-Server#install-docker).
|
||||
|
||||
#### Install wins, kubelet, and kubeadm
|
||||
|
||||
|
||||
@@ -150,13 +150,12 @@ you need is an existing `docker-compose.yml` file.
|
||||
```
|
||||
|
||||
```bash
|
||||
kubectl apply -f frontend-service.yaml,redis-master-service.yaml,redis-slave-service.yaml,frontend-deployment.yaml,
|
||||
kubectl apply -f frontend-service.yaml,redis-master-service.yaml,redis-slave-service.yaml,frontend-deployment.yaml,redis-master-deployment.yaml,redis-slave-deployment.yaml
|
||||
```
|
||||
|
||||
The output is similar to:
|
||||
|
||||
```none
|
||||
redis-master-deployment.yaml,redis-slave-deployment.yaml
|
||||
service/frontend created
|
||||
service/redis-master created
|
||||
service/redis-slave created
|
||||
|
||||
@@ -11,7 +11,11 @@ communication.
|
||||
|
||||
## {{% heading "prerequisites" %}}
|
||||
|
||||
{{< include "task-tutorial-prereqs.md" >}}
|
||||
You need to have a Kubernetes cluster, and the kubectl command-line tool must
|
||||
be configured to communicate with your cluster. It is recommended to run this
|
||||
tutorial on a cluster with at least two nodes that are not acting as control
|
||||
plane hosts. If you do not already have a cluster, you can create one by using
|
||||
[minikube](https://minikube.sigs.k8s.io/docs/tutorials/multi_node/).
|
||||
|
||||
<!-- steps -->
|
||||
|
||||
|
||||
@@ -162,9 +162,19 @@ Events: <none>
|
||||
|
||||
## Get the Certificate Signing Request Approved
|
||||
|
||||
Approving the certificate signing request is either done by an automated
|
||||
approval process or on a one off basis by a cluster administrator. More
|
||||
information on what this involves is covered below.
|
||||
Approving the [certificate signing request](/docs/reference/access-authn-authz/certificate-signing-requests/)
|
||||
is either done by an automated approval process or on a one off basis by a cluster
|
||||
administrator. If you're authorized to approve a certificate request, you can do that
|
||||
manually using `kubectl`; for example:
|
||||
|
||||
```shell
|
||||
kubectl certificate approve my-svc.my-namespace
|
||||
```
|
||||
|
||||
```none
|
||||
certificatesigningrequest.certificates.k8s.io/my-svc.my-namespace approved
|
||||
```
|
||||
|
||||
|
||||
## Download the Certificate and Use It
|
||||
|
||||
|
||||
@@ -16,7 +16,7 @@ If you have an alias for kubectl, you can extend shell completion to work with t
|
||||
|
||||
```zsh
|
||||
echo 'alias k=kubectl' >>~/.zshrc
|
||||
echo 'complete -F __start_kubectl k' >>~/.zshrc
|
||||
echo 'compdef __start_kubectl k' >>~/.zshrc
|
||||
```
|
||||
|
||||
After reloading your shell, kubectl autocompletion should be working.
|
||||
|
||||
@@ -894,8 +894,7 @@ Use this command to get the nodes in your cluster.
|
||||
kubectl get nodes
|
||||
```
|
||||
|
||||
Use [`kubectl cordon`](/docs/reference/generated/kubectl/kubectl-commands/#cordon) to
|
||||
cordon all but four of the nodes in your cluster.
|
||||
This tutorial assumes a cluster with at least four nodes. If the cluster has more than four, use [`kubectl cordon`](/docs/reference/generated/kubectl/kubectl-commands/#cordon) to cordon all but four nodes. Constraining to four nodes will ensure Kubernetes encounters affinity and PodDisruptionBudget constraints when scheduling zookeeper Pods in the following maintenance simulation.
|
||||
|
||||
```shell
|
||||
kubectl cordon <node-name>
|
||||
|
||||
@@ -78,7 +78,6 @@ releases may also occur in between these.
|
||||
|
||||
| Monthly Patch Release | Cherry Pick Deadline | Target date |
|
||||
| --------------------- | -------------------- | ----------- |
|
||||
| November 2021 | 2021-11-12 | 2021-11-17 |
|
||||
| December 2021 | 2021-12-10 | 2021-12-15 |
|
||||
| January 2022 | 2021-01-14 | 2021-01-19 |
|
||||
| February 2022 | 2021-02-11 | 2021-02-16 |
|
||||
@@ -94,6 +93,7 @@ End of Life for **1.22** is **2022-10-28**
|
||||
|
||||
| PATCH RELEASE | CHERRY PICK DEADLINE | TARGET DATE | NOTE |
|
||||
|---------------|----------------------|-------------|------|
|
||||
| 1.22.5 | 2021-12-10 | 2021-12-15 | |
|
||||
| 1.22.4 | 2021-11-12 | 2021-11-17 | |
|
||||
| 1.22.3 | 2021-10-22 | 2021-10-27 | |
|
||||
| 1.22.2 | 2021-09-10 | 2021-09-15 | |
|
||||
@@ -107,6 +107,7 @@ End of Life for **1.21** is **2022-06-28**
|
||||
|
||||
| PATCH RELEASE | CHERRY PICK DEADLINE | TARGET DATE | NOTE |
|
||||
| ------------- | -------------------- | ----------- | ---------------------------------------------------------------------- |
|
||||
| 1.21.8 | 2021-12-10 | 2021-12-15 | |
|
||||
| 1.21.7 | 2021-11-12 | 2021-11-17 | |
|
||||
| 1.21.6 | 2021-10-22 | 2021-10-27 | |
|
||||
| 1.21.5 | 2021-09-10 | 2021-09-15 | |
|
||||
@@ -123,6 +124,7 @@ End of Life for **1.20** is **2022-02-28**
|
||||
|
||||
| PATCH RELEASE | CHERRY PICK DEADLINE | TARGET DATE | NOTE |
|
||||
| ------------- | -------------------- | ----------- | ----------------------------------------------------------------------------------- |
|
||||
| 1.20.14 | 2021-12-10 | 2021-12-15 | |
|
||||
| 1.20.13 | 2021-11-12 | 2021-11-17 | |
|
||||
| 1.20.12 | 2021-10-22 | 2021-10-27 | |
|
||||
| 1.20.11 | 2021-09-10 | 2021-09-15 | |
|
||||
|
||||
Reference in New Issue
Block a user