website/content/en/docs/tasks/administer-cluster/safely-drain-node.md

---
reviewers:
- davidopp
- mml
- foxish
- kow3ns
title: Safely Drain a Node while Respecting Application SLOs
content_template: templates/task
---

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This page shows how to safely drain a machine, respecting the application-level
disruption SLOs you have specified using PodDisruptionBudget.
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This task assumes that you have met the following prerequisites:

* You are using Kubernetes release >= 1.5.
* Either:
  1. You do not require your applications to be highly available during the
     node drain, or
  1. You have read about the [PodDisruptionBudget concept](/docs/concepts/workloads/pods/disruptions/)
     and [Configured PodDisruptionBudgets](/docs/tasks/run-application/configure-pdb/) for
     applications that need them.

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## Use `kubectl drain` to remove a node from service

You can use `kubectl drain` to safely evict all of your pods from a
node before you perform maintenance on the node (e.g. kernel upgrade,
hardware maintenance, etc.). Safe evictions allow the pod's containers
to [gracefully terminate](/docs/concepts/workloads/pods/pod/#termination-of-pods)
and will respect the `PodDisruptionBudgets` you have specified.

{{< note >}}
By default `kubectl drain` will ignore certain system pods on the node
that cannot be killed; see
the [kubectl drain](/docs/reference/generated/kubectl/kubectl-commands/#drain)
documentation for more details.
{{< /note >}}

When `kubectl drain` returns successfully, that indicates that all of
the pods (except the ones excluded as described in the previous paragraph)
have been safely evicted (respecting the desired graceful
termination period, and without violating any application-level
disruption SLOs). It is then safe to bring down the node by powering
down its physical machine or, if running on a cloud platform, deleting its
virtual machine.

First, identify the name of the node you wish to drain. You can list all of the nodes in your cluster with

```shell
kubectl get nodes
```

Next, tell Kubernetes to drain the node:

```shell
kubectl drain <node name>
```

Once it returns (without giving an error), you can power down the node
(or equivalently, if on a cloud platform, delete the virtual machine backing the node).
If you leave the node in the cluster during the maintenance operation, you need to run

```shell
kubectl uncordon <node name>
```
afterwards to tell Kubernetes that it can resume scheduling new pods onto the node.

## Draining multiple nodes in parallel

The `kubectl drain` command should only be issued to a single node at a
time. However, you can run multiple `kubectl drain` commands for
different nodes in parallel, in different terminals or in the
background. Multiple drain commands running concurrently will still
respect the `PodDisruptionBudget` you specify.

For example, if you have a StatefulSet with three replicas and have
set a `PodDisruptionBudget` for that set specifying `minAvailable:
2`. `kubectl drain` will only evict a pod from the StatefulSet if all
three pods are ready, and if you issue multiple drain commands in
parallel, Kubernetes will respect the PodDisruptionBudget and ensure
that only one pod is unavailable at any given time. Any drains that
would cause the number of ready replicas to fall below the specified
budget are blocked.

## The Eviction API

If you prefer not to use [kubectl drain](/docs/reference/generated/kubectl/kubectl-commands/#drain) (such as
to avoid calling to an external command, or to get finer control over the pod
eviction process), you can also programmatically cause evictions using the eviction API.

You should first be familiar with using [Kubernetes language clients](/docs/tasks/administer-cluster/access-cluster-api/#programmatic-access-to-the-api).

The eviction subresource of a
pod can be thought of as a kind of policy-controlled DELETE operation on the pod
itself. To attempt an eviction (perhaps more REST-precisely, to attempt to
*create* an eviction), you POST an attempted operation. Here's an example:

```json
{
  "apiVersion": "policy/v1beta1",
  "kind": "Eviction",
  "metadata": {
    "name": "quux",
    "namespace": "default"
  }
}
```

You can attempt an eviction using `curl`:

```bash
curl -v -H 'Content-type: application/json' http://127.0.0.1:8080/api/v1/namespaces/default/pods/quux/eviction -d @eviction.json
```

The API can respond in one of three ways:

- If the eviction is granted, then the pod is deleted just as if you had sent
  a `DELETE` request to the pod's URL and you get back `200 OK`.
- If the current state of affairs wouldn't allow an eviction by the rules set
  forth in the budget, you get back `429 Too Many Requests`. This is
  typically used for generic rate limiting of *any* requests, but here we mean
  that this request isn't allowed *right now* but it may be allowed later.
  Currently, callers do not get any `Retry-After` advice, but they may in
  future versions.
- If there is some kind of misconfiguration, like multiple budgets pointing at
  the same pod, you will get `500 Internal Server Error`.

For a given eviction request, there are two cases:

- There is no budget that matches this pod. In this case, the server always
  returns `200 OK`.
- There is at least one budget. In this case, any of the three above responses may
 apply.

In some cases, an application may reach a broken state where it will never return anything
other than 429 or 500. This can happen, for example, if the replacement pod created by the
application's controller does not become ready, or if the last pod evicted has a very long
termination grace period.

In this case, there are two potential solutions:

- Abort or pause the automated operation. Investigate the reason for the stuck application, and restart the automation.
- After a suitably long wait, `DELETE` the pod instead of using the eviction API.

Kubernetes does not specify what the behavior should be in this case; it is up to the
application owners and cluster owners to establish an agreement on behavior in these cases.

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* Follow steps to protect your application by [configuring a Pod Disruption Budget](/docs/tasks/run-application/configure-pdb/).

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