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- Add the new page "Configuring a cgroup driver"
The page includes details on how to configure the cgroup driver
using kubeadm. It also includes a migration guide for users to
move to the "systemd" driver.
- Link to the new page from install-kubeadm.md and container-runtimes.md
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neolit123 committed Mar 4, 2021
1 parent e1acd19 commit 2355094
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Expand Up @@ -48,7 +48,7 @@ Changing the settings such that your container runtime and kubelet use `systemd`
stabilized the system. To configure this for Docker, set `native.cgroupdriver=systemd`.

{{< caution >}}
Changing the cgroup driver of a Node that has joined a cluster is strongly *not* recommended.
Changing the cgroup driver of a Node that has joined a cluster is a sensitive operation.
If the kubelet has created Pods using the semantics of one cgroup driver, changing the container
runtime to another cgroup driver can cause errors when trying to re-create the Pod sandbox
for such existing Pods. Restarting the kubelet may not solve such errors.
Expand All @@ -57,6 +57,11 @@ If you have automation that makes it feasible, replace the node with another usi
configuration, or reinstall it using automation.
{{< /caution >}}

### Migrating to the `systemd` driver in kubeadm managed clusters

Follow this [Migration guide](/tasks/administer-cluster/kubeadm/configure-cgroup-driver)
if you wish to migrate to the `systemd` cgroup driver in existing kubeadm managed clusters.

## Container runtimes

{{% thirdparty-content %}}
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Expand Up @@ -233,7 +233,7 @@ sudo mkdir -p /opt/cni/bin
curl -L "https://github.com/containernetworking/plugins/releases/download/${CNI_VERSION}/cni-plugins-linux-amd64-${CNI_VERSION}.tgz" | sudo tar -C /opt/cni/bin -xz
```

Define the directory to download command files
Define the directory to download command files

{{< note >}}
The `DOWNLOAD_DIR` variable must be set to a writable directory.
Expand Down Expand Up @@ -284,33 +284,17 @@ See the [Kubeadm Troubleshooting guide](/docs/setup/production-environment/tools
The kubelet is now restarting every few seconds, as it waits in a crashloop for
kubeadm to tell it what to do.

## Configure cgroup driver used by kubelet on control-plane node
## Configuring a cgroup driver

When using Docker, kubeadm will automatically detect the cgroup driver for the kubelet
and set it in the `/var/lib/kubelet/config.yaml` file during runtime.
Both the container runtime and the kubelet have a property called
["cgroup driver"](/docs/setup/production-environment/container-runtimes/), which is important
for the management of cgroups on Linux machines.

If you are using a different CRI, you must pass your `cgroupDriver` value to `kubeadm init`, like so:

```yaml
apiVersion: kubelet.config.k8s.io/v1beta1
kind: KubeletConfiguration
cgroupDriver: <value>
```
For further details, please read [Using kubeadm init with a configuration file](/docs/reference/setup-tools/kubeadm/kubeadm-init/#config-file).
Please mind, that you **only** have to do that if the cgroup driver of your CRI
is not `cgroupfs`, because that is the default value in the kubelet already.

{{< note >}}
Since `--cgroup-driver` flag has been deprecated by the kubelet, if you have that in `/var/lib/kubelet/kubeadm-flags.env`
or `/etc/default/kubelet`(`/etc/sysconfig/kubelet` for RPMs), please remove it and use the KubeletConfiguration instead
(stored in `/var/lib/kubelet/config.yaml` by default).
{{< /note >}}

The automatic detection of cgroup driver for other container runtimes
like CRI-O and containerd is work in progress.
{{< warning >}}
Matching the container runtime and kubelet cgroup drivers is required or otherwise the kubelet process will fail.
{{< warning >}}

See [Configuring a cgroup driver](/tasks/administer-cluster/kubeadm/configure-cgroup-driver) for more details.

## Troubleshooting

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---
title: Configuring a cgroup driver
content_type: task
weight: 10
---

<!-- overview -->

This page explains how to configure the kubelet cgroup driver to match the container
runtime cgroup driver for kubeadm clusters.

## {{% heading "prerequisites" %}}

You should be familiar with the Kubernetes
[container runtime requirements](/docs/setup/production-environment/container-runtimes).

<!-- steps -->

## Configuring the container runtime cgroup driver

The [Container runtimes](/docs/setup/production-environment/container-runtimes) page
explains that the `systemd` driver is recommended for kubeadm based setups instead
of the `cgroupfs` driver, because kubeadm manages the kubelet as a systemd service.

The page also provides details on how to setup a number of different container runtimes with the
`systemd` driver by default.

## Configuring the kubelet cgroup driver

kubeadm allows you to pass a `KubeletConfiguration` structure during `kubeadm init`.
This `KubeletConfiguration` can include the `cgroupDriver` field which controls the cgroup
driver of the kubelet.

{{< note >}}

{{< feature-state for_k8s_version="v1.21" state="stable" >}}

If the user is not setting the `cgroupDriver` field under `KubeletConfiguration`,
`kubeadm init` will default it to `systemd`.
{{< /note >}}

A minimal example of configuring the field explicitly:

```yaml
# kubeadm-config.yaml
kind: ClusterConfiguration
apiVersion: kubeadm.k8s.io/v1beta2
kubernetesVersion: v1.21
---
kind: KubeletConfiguration
apiVersion: kubelet.config.k8s.io/v1beta1
cgroupDriver: systemd
```
Such a configuration file can then be passed to the kubeadm command:
```shell
kubeadm init --config kubeadm-config.yaml
```

{{< note >}}
Kubeadm uses the same `KubeletConfiguration` for all nodes in the cluster.
The `KubeletConfiguration` is stored in a [ConfigMap](docs/concepts/configuration/configmap)
object under the `kube-system` namespace.

Executing the sub commands `init`, `join` and `upgrade` would result in kubeadm
writing the `KubeletConfiguration` as a file under `/var/lib/kubelet/config.yaml`
and passing it to the local node kubelet.
{{< /note >}}

## Using the `cgroupfs` driver

As this guide explains using the `cgroupfs` driver with kubeadm is not recommended.

To continue using `cgroupfs` and to prevent `kubeadm upgrade` from modifying the
`KubeletConfiguration` cgroup driver on existing setups, you must be explicit
about its value. This applies to a case where you do not wish future versions
of kubeadm to apply the `systemd` driver by default.

See the below section on "Modify the kubelet ConfigMap" for details on
how to be explicit about the value.

If you wish to configure a container runtime to use the `cgroupfs` driver,
you must refer to the documentation of the container runtime of your choice.

## Migrating to the `systemd` driver

To change the cgroup driver of an existing kubeadm cluster to `systemd` in-place,
a similar procedure to a kubelet upgrade is required. This must include both
steps outlined below.

{{< note >}}
Alternatively, it is possible to replace the old nodes in the cluster with new ones
that use the `systemd` driver. This requires executing only the first step below
before joining the new nodes and ensuring the workloads can safely move to the new
nodes before deleting the old nodes.
{{< /note >}}

### Modify the kubelet ConfigMap

- Find the kubelet ConfigMap name using `kubectl get cm -n kube-system | grep kubelet-config`.
- Call `kubectl edit cm kubelet-config-x.yy -n kube-system` (replace `x.yy` with
the Kubernetes version).
- Either modify the existing `cgroupDriver` value or add a new field that looks like this:

```yaml
cgroupDriver: systemd
```
This field must be present under the `kubelet:` section of the ConfigMap.

### Update the cgroup driver on all nodes

For each node in the cluster:

- [Drain the node](/docs/tasks/administer-cluster/safely-drain-node) using `kubectl drain <node-name> --ignore-daemonsets`
- Stop the kubelet using `systemctl stop kubelet`
- Stop the container runtime
- Modify the container runtime cgroup driver to `systemd`
- Set `cgroupDriver: systemd` in `/var/lib/kubelet/config.yaml`
- Start the container runtime
- Start the kubelet using `systemctl start kubelet`
- [Uncordon the node](/docs/tasks/administer-cluster/safely-drain-node) using `kubectl uncordon <node-name>`

Execute these steps on nodes one at a time to ensure workloads
have sufficient time to schedule on different nodes.

Once the process is complete ensure that all nodes and workloads are healthy.

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