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---
reviewers:
- caesarxuchao
- dchen1107
title: Nodes
content_type: concept
weight: 10
---
<!-- overview -->
Kubernetes runs your workload by placing containers into Pods to run on _Nodes_.
A node may be a virtual or physical machine, depending on the cluster. Each node
is managed by the
{{< glossary_tooltip text="control plane" term_id="control-plane" >}}
and contains the services necessary to run
{{< glossary_tooltip text="Pods" term_id="pod" >}}.
Typically you have several nodes in a cluster; in a learning or resource-limited
environment, you might have only one node.
The [components](/docs/concepts/overview/components/#node-components) on a node include the
{{< glossary_tooltip text="kubelet" term_id="kubelet" >}}, a
{{< glossary_tooltip text="container runtime" term_id="container-runtime" >}}, and the
{{< glossary_tooltip text="kube-proxy" term_id="kube-proxy" >}}.
<!-- body -->
## Management
There are two main ways to have Nodes added to the {{< glossary_tooltip text="API server" term_id="kube-apiserver" >}}:
1. The kubelet on a node self-registers to the control plane
2. You (or another human user) manually add a Node object
After you create a Node {{< glossary_tooltip text="object" term_id="object" >}},
or the kubelet on a node self-registers, the control plane checks whether the new Node object is
valid. For example, if you try to create a Node from the following JSON manifest:
```json
{
"kind": "Node",
"apiVersion": "v1",
"metadata": {
"name": "10.240.79.157",
"labels": {
"name": "my-first-k8s-node"
}
}
}
```
Kubernetes creates a Node object internally (the representation). Kubernetes checks
that a kubelet has registered to the API server that matches the `metadata.name`
field of the Node. If the node is healthy (i.e. all necessary services are running),
then it is eligible to run a Pod. Otherwise, that node is ignored for any cluster activity
until it becomes healthy.
{{< note >}}
Kubernetes keeps the object for the invalid Node and continues checking to see whether
it becomes healthy.
You, or a {{< glossary_tooltip term_id="controller" text="controller">}}, must explicitly
delete the Node object to stop that health checking.
{{< /note >}}
The name of a Node object must be a valid
[DNS subdomain name](/docs/concepts/overview/working-with-objects/names#dns-subdomain-names).
### Node name uniqueness
The [name](/docs/concepts/overview/working-with-objects/names#names) identifies a Node. Two Nodes
cannot have the same name at the same time. Kubernetes also assumes that a resource with the same
name is the same object. In case of a Node, it is implicitly assumed that an instance using the
same name will have the same state (e.g. network settings, root disk contents)
and attributes like node labels. This may lead to
inconsistencies if an instance was modified without changing its name. If the Node needs to be
replaced or updated significantly, the existing Node object needs to be removed from API server
first and re-added after the update.
### Self-registration of Nodes
When the kubelet flag `--register-node` is true (the default), the kubelet will attempt to
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:
- `--kubeconfig` - Path to credentials to authenticate itself to the API server.
- `--cloud-provider` - How to talk to a {{< glossary_tooltip text="cloud provider" term_id="cloud-provider" >}}
to read metadata about itself.
- `--register-node` - Automatically register with the API server.
- `--register-with-taints` - Register the node with the given list of
{{< glossary_tooltip text="taints" term_id="taint" >}} (comma separated `<key>=<value>:<effect>`).
No-op if `register-node` is false.
- `--node-ip` - IP address of the node.
- `--node-labels` - {{< glossary_tooltip text="Labels" term_id="label" >}} to add when registering the node
in the cluster (see label restrictions enforced by the
[NodeRestriction admission plugin](/docs/reference/access-authn-authz/admission-controllers/#noderestriction)).
- `--node-status-update-frequency` - Specifies how often kubelet posts its node status to the API server.
When the [Node authorization mode](/docs/reference/access-authn-authz/node/) and
[NodeRestriction admission plugin](/docs/reference/access-authn-authz/admission-controllers/#noderestriction)
are enabled, kubelets are only authorized to create/modify their own Node resource.
{{< note >}}
As mentioned in the [Node name uniqueness](#node-name-uniqueness) section,
when Node configuration needs to be updated, it is a good practice to re-register
the node with the API server. For example, if the kubelet being restarted with
the new set of `--node-labels`, but the same Node name is used, the change will
not take an effect, as labels are being set on the Node registration.
Pods already scheduled on the Node may misbehave or cause issues if the Node
configuration will be changed on kubelet restart. For example, already running
Pod may be tainted against the new labels assigned to the Node, while other
Pods, that are incompatible with that Pod will be scheduled based on this new
label. Node re-registration ensures all Pods will be drained and properly
re-scheduled.
{{< /note >}}
### Manual Node administration
You can create and modify Node objects using
{{< glossary_tooltip text="kubectl" term_id="kubectl" >}}.
When you want to create Node objects manually, set the kubelet flag `--register-node=false`.
You can modify Node objects regardless of the setting of `--register-node`.
For example, you can set labels on an existing Node or mark it unschedulable.
You can use labels on Nodes in conjunction with node selectors on Pods to control
scheduling. For example, you can constrain a Pod to only be eligible to run on
a subset of the available nodes.
Marking a node as unschedulable prevents the scheduler from placing new pods onto
that Node but does not affect existing Pods on the Node. This is useful as a
preparatory step before a node reboot or other maintenance.
To mark a Node unschedulable, run:
```shell
kubectl cordon $NODENAME
```
See [Safely Drain a Node](/docs/tasks/administer-cluster/safely-drain-node/)
for more details.
{{< note >}}
Pods that are part of a {{< glossary_tooltip term_id="daemonset" >}} tolerate
being run on an unschedulable Node. DaemonSets typically provide node-local services
that should run on the Node even if it is being drained of workload applications.
{{< /note >}}
## Node status
A Node's status contains the following information:
* [Addresses](#addresses)
* [Conditions](#condition)
* [Capacity and Allocatable](#capacity)
* [Info](#info)
You can use `kubectl` to view a Node's status and other details:
```shell
kubectl describe node <insert-node-name-here>
```
Each section of the output is described below.
### Addresses
The usage of these fields varies depending on your cloud provider or bare metal configuration.
* HostName: The hostname as reported by the node's kernel. Can be overridden via the kubelet
`--hostname-override` parameter.
* ExternalIP: Typically the IP address of the node that is externally routable (available from
outside the cluster).
* InternalIP: Typically the IP address of the node that is routable only within the cluster.
### Conditions {#condition}
The `conditions` field describes the status of all `Running` nodes. Examples of conditions include:
{{< table caption = "Node conditions, and a description of when each condition applies." >}}
| Node Condition | Description |
|----------------------|-------------|
| `Ready` | `True` if the node is healthy and ready to accept pods, `False` if the node is not healthy and is not accepting pods, and `Unknown` if the node controller has not heard from the node in the last `node-monitor-grace-period` (default is 40 seconds) |
| `DiskPressure` | `True` if pressure exists on the disk size—that is, if the disk capacity is low; otherwise `False` |
| `MemoryPressure` | `True` if pressure exists on the node memory—that is, if the node memory is low; otherwise `False` |
| `PIDPressure` | `True` if pressure exists on the processes—that is, if there are too many processes on the node; otherwise `False` |
| `NetworkUnavailable` | `True` if the network for the node is not correctly configured, otherwise `False` |
{{< /table >}}
{{< note >}}
If you use command-line tools to print details of a cordoned Node, the Condition includes
`SchedulingDisabled`. `SchedulingDisabled` is not a Condition in the Kubernetes API; instead,
cordoned nodes are marked Unschedulable in their spec.
{{< /note >}}
In the Kubernetes API, a node's condition is represented as part of the `.status`
of the Node resource. For example, the following JSON structure describes a healthy node:
```json
"conditions": [
{
"type": "Ready",
"status": "True",
"reason": "KubeletReady",
"message": "kubelet is posting ready status",
"lastHeartbeatTime": "2019-06-05T18:38:35Z",
"lastTransitionTime": "2019-06-05T11:41:27Z"
}
]
```
If the `status` of the Ready condition remains `Unknown` or `False` for longer
than the `pod-eviction-timeout` (an argument passed to the
{{< glossary_tooltip text="kube-controller-manager" term_id="kube-controller-manager"
>}}), then the [node controller](#node-controller) triggers
{{< glossary_tooltip text="API-initiated eviction" term_id="api-eviction" >}}
for all Pods assigned to that node. The default eviction timeout duration is
**five minutes**.
In some cases when the node is unreachable, the API server is unable to communicate
with the kubelet on the node. The decision to delete the pods cannot be communicated to
the kubelet until communication with the API server is re-established. In the meantime,
the pods that are scheduled for deletion may continue to run on the partitioned node.
The node controller does not force delete pods until it is confirmed that they have stopped
running in the cluster. You can see the pods that might be running on an unreachable node as
being in the `Terminating` or `Unknown` state. In cases where Kubernetes cannot deduce from the
underlying infrastructure if a node has permanently left a cluster, the cluster administrator
may need to delete the node object by hand. Deleting the node object from Kubernetes causes
all the Pod objects running on the node to be deleted from the API server and frees up their
names.
When problems occur on nodes, the Kubernetes control plane automatically creates
[taints](/docs/concepts/scheduling-eviction/taint-and-toleration/) that match the conditions
affecting the node.
The scheduler takes the Node's taints into consideration when assigning a Pod to a Node.
Pods can also have {{< glossary_tooltip text="tolerations" term_id="toleration" >}} that let
them run on a Node even though it has a specific taint.
See [Taint Nodes by Condition](/docs/concepts/scheduling-eviction/taint-and-toleration/#taint-nodes-by-condition)
for more details.
### Capacity and Allocatable {#capacity}
Describes the resources available on the node: CPU, memory, and the maximum
number of pods that can be scheduled onto the node.
The fields in the capacity block indicate the total amount of resources that a
Node has. The allocatable block indicates the amount of resources on a
Node that is available to be consumed by normal Pods.
You may read more about capacity and allocatable resources while learning how
to [reserve compute resources](/docs/tasks/administer-cluster/reserve-compute-resources/#node-allocatable)
on a Node.
### Info
Describes general information about the node, such as kernel version, Kubernetes
version (kubelet and kube-proxy version), container runtime details, and which
operating system the node uses.
The kubelet gathers this information from the node and publishes it into
the Kubernetes API.
## Heartbeats
Heartbeats, sent by Kubernetes nodes, help your cluster determine the
availability of each node, and to take action when failures are detected.
For nodes there are two forms of heartbeats:
* updates to the `.status` of a Node
* [Lease](/docs/reference/kubernetes-api/cluster-resources/lease-v1/) objects
within the `kube-node-lease`
{{< glossary_tooltip term_id="namespace" text="namespace">}}.
Each Node has an associated Lease object.
Compared to updates to `.status` of a Node, a Lease is a lightweight resource.
Using Leases for heartbeats reduces the performance impact of these updates
for large clusters.
The kubelet is responsible for creating and updating the `.status` of Nodes,
and for updating their related Leases.
- The kubelet updates the node's `.status` either when there is change in status
or if there has been no update for a configured interval. The default interval
for `.status` updates to Nodes is 5 minutes, which is much longer than the 40
second default timeout for unreachable nodes.
- The kubelet creates and then updates its Lease object every 10 seconds
(the default update interval). Lease updates occur independently from
updates to the Node's `.status`. If the Lease update fails, the kubelet retries,
using exponential backoff that starts at 200 milliseconds and capped at 7 seconds.
## Node controller
The node {{< glossary_tooltip text="controller" term_id="controller" >}} is a
Kubernetes control plane component that manages various aspects of nodes.
The node controller has multiple roles in a node's life. The first is assigning a
CIDR block to the node when it is registered (if CIDR assignment is turned on).
The second is keeping the node controller's internal list of nodes up to date with
the cloud provider's list of available machines. When running in a cloud
environment and whenever a node is unhealthy, the node controller asks the cloud
provider if the VM for that node is still available. If not, the node
controller deletes the node from its list of nodes.
The third is monitoring the nodes' health. The node controller is
responsible for:
- In the case that a node becomes unreachable, updating the `Ready` condition
in the Node's `.status` field. In this case the node controller sets the
`Ready` condition to `Unknown`.
- If a node remains unreachable: triggering
[API-initiated eviction](/docs/concepts/scheduling-eviction/api-eviction/)
for all of the Pods on the unreachable node. By default, the node controller
waits 5 minutes between marking the node as `Unknown` and submitting
the first eviction request.
By default, the node controller checks the state of each node every 5 seconds.
This period can be configured using the `--node-monitor-period` flag on the
`kube-controller-manager` component.
### Rate limits on eviction
In most cases, the node controller limits the eviction rate to
`--node-eviction-rate` (default 0.1) per second, meaning it won't evict pods
from more than 1 node per 10 seconds.
The node eviction behavior changes when a node in a given availability zone
becomes unhealthy. The node controller checks what percentage of nodes in the zone
are unhealthy (the `Ready` condition is `Unknown` or `False`) at
the same time:
- If the fraction of unhealthy nodes is at least `--unhealthy-zone-threshold`
(default 0.55), then the eviction rate is reduced.
- If the cluster is small (i.e. has less than or equal to
`--large-cluster-size-threshold` nodes - default 50), then evictions are stopped.
- Otherwise, the eviction rate is reduced to `--secondary-node-eviction-rate`
(default 0.01) per second.
The reason these policies are implemented per availability zone is because one
availability zone might become partitioned from the control plane while the others remain
connected. If your cluster does not span multiple cloud provider availability zones,
then the eviction mechanism does not take per-zone unavailability into account.
A key reason for spreading your nodes across availability zones is so that the
workload can be shifted to healthy zones when one entire zone goes down.
Therefore, if all nodes in a zone are unhealthy, then the node controller evicts at
the normal rate of `--node-eviction-rate`. The corner case is when all zones are
completely unhealthy (none of the nodes in the cluster are healthy). In such a
case, the node controller assumes that there is some problem with connectivity
between the control plane and the nodes, and doesn't perform any evictions.
(If there has been an outage and some nodes reappear, the node controller does
evict pods from the remaining nodes that are unhealthy or unreachable).
The node controller is also responsible for evicting pods running on nodes with
`NoExecute` taints, unless those pods tolerate that taint.
The node controller also adds {{< glossary_tooltip text="taints" term_id="taint" >}}
corresponding to node problems like node unreachable or not ready. This means
that the scheduler won't place Pods onto unhealthy nodes.
## Resource capacity tracking {#node-capacity}
Node objects track information about the Node's resource capacity: for example, the amount
of memory available and the number of CPUs.
Nodes that [self register](#self-registration-of-nodes) report their capacity during
registration. If you [manually](#manual-node-administration) add a Node, then
you need to set the node's capacity information when you add it.
The Kubernetes {{< glossary_tooltip text="scheduler" term_id="kube-scheduler" >}} ensures that
there are enough resources for all the Pods on a Node. The scheduler checks that the sum
of the requests of containers on the node is no greater than the node's capacity.
That sum of requests includes all containers managed by the kubelet, but excludes any
containers started directly by the container runtime, and also excludes any
processes running outside of the kubelet's control.
{{< note >}}
If you want to explicitly reserve resources for non-Pod processes, see
[reserve resources for system daemons](/docs/tasks/administer-cluster/reserve-compute-resources/#system-reserved).
{{< /note >}}
## Node topology
{{< feature-state state="beta" for_k8s_version="v1.18" >}}
If you have enabled the `TopologyManager`
[feature gate](/docs/reference/command-line-tools-reference/feature-gates/), then
the kubelet can use topology hints when making resource assignment decisions.
See [Control Topology Management Policies on a Node](/docs/tasks/administer-cluster/topology-manager/)
for more information.
## Graceful node shutdown {#graceful-node-shutdown}
{{< feature-state state="beta" for_k8s_version="v1.21" >}}
The kubelet attempts to detect node system shutdown and terminates pods running on the node.
Kubelet ensures that pods follow the normal
[pod termination process](/docs/concepts/workloads/pods/pod-lifecycle/#pod-termination)
during the node shutdown.
The Graceful node shutdown feature depends on systemd since it takes advantage of
[systemd inhibitor locks](https://www.freedesktop.org/wiki/Software/systemd/inhibit/) to
delay the node shutdown with a given duration.
Graceful node shutdown is controlled with the `GracefulNodeShutdown`
[feature gate](/docs/reference/command-line-tools-reference/feature-gates/) which is
enabled by default in 1.21.
Note that by default, both configuration options described below,
`shutdownGracePeriod` and `shutdownGracePeriodCriticalPods` are set to zero,
thus not activating the graceful node shutdown functionality.
To activate the feature, the two kubelet config settings should be configured appropriately and
set to non-zero values.
During a graceful shutdown, kubelet terminates pods in two phases:
1. Terminate regular pods running on the node.
2. Terminate [critical pods](/docs/tasks/administer-cluster/guaranteed-scheduling-critical-addon-pods/#marking-pod-as-critical)
running on the node.
Graceful node shutdown feature is configured with two
[`KubeletConfiguration`](/docs/tasks/administer-cluster/kubelet-config-file/) options:
* `shutdownGracePeriod`:
* Specifies the total duration that the node should delay the shutdown by. This is the total
grace period for pod termination for both regular and
[critical pods](/docs/tasks/administer-cluster/guaranteed-scheduling-critical-addon-pods/#marking-pod-as-critical).
* `shutdownGracePeriodCriticalPods`:
* Specifies the duration used to terminate
[critical pods](/docs/tasks/administer-cluster/guaranteed-scheduling-critical-addon-pods/#marking-pod-as-critical)
during a node shutdown. This value should be less than `shutdownGracePeriod`.
For example, if `shutdownGracePeriod=30s`, and
`shutdownGracePeriodCriticalPods=10s`, kubelet will delay the node shutdown by
30 seconds. During the shutdown, the first 20 (30-10) seconds would be reserved
for gracefully terminating normal pods, and the last 10 seconds would be
reserved for terminating [critical pods](/docs/tasks/administer-cluster/guaranteed-scheduling-critical-addon-pods/#marking-pod-as-critical).
{{< note >}}
When pods were evicted during the graceful node shutdown, they are marked as shutdown.
Running `kubectl get pods` shows the status of the evicted pods as `Terminated`.
And `kubectl describe pod` indicates that the pod was evicted because of node shutdown:
```
Reason: Terminated
Message: Pod was terminated in response to imminent node shutdown.
```
{{< /note >}}
## Non Graceful node shutdown {#non-graceful-node-shutdown}
{{< feature-state state="alpha" for_k8s_version="v1.24" >}}
A node shutdown action may not be detected by kubelet's Node Shutdown Manager,
either because the command does not trigger the inhibitor locks mechanism used by
kubelet or because of a user error, i.e., the ShutdownGracePeriod and
ShutdownGracePeriodCriticalPods are not configured properly. Please refer to above
section [Graceful Node Shutdown](#graceful-node-shutdown) for more details.
When a node is shutdown but not detected by kubelet's Node Shutdown Manager, the pods
that are part of a StatefulSet will be stuck in terminating status on
the shutdown node and cannot move to a new running node. This is because kubelet on
the shutdown node is not available to delete the pods so the StatefulSet cannot
create a new pod with the same name. If there are volumes used by the pods, the
VolumeAttachments will not be deleted from the original shutdown node so the volumes
used by these pods cannot be attached to a new running node. As a result, the
application running on the StatefulSet cannot function properly. If the original
shutdown node comes up, the pods will be deleted by kubelet and new pods will be
created on a different running node. If the original shutdown node does not come up,
these pods will be stuck in terminating status on the shutdown node forever.
To mitigate the above situation, a user can manually add the taint `node.kubernetes.io/out-of-service` with either `NoExecute`
or `NoSchedule` effect to a Node marking it out-of-service.
If the `NodeOutOfServiceVolumeDetach`[feature gate](/docs/reference/command-line-tools-reference/feature-gates/)
is enabled on `kube-controller-manager`, and a Node is marked out-of-service with this taint, the
pods on the node will be forcefully deleted if there are no matching tolerations on it and volume
detach operations for the pods terminating on the node will happen immediately. This allows the
Pods on the out-of-service node to recover quickly on a different node.
During a non-graceful shutdown, Pods are terminated in the two phases:
1. Force delete the Pods that do not have matching `out-of-service` tolerations.
2. Immediately perform detach volume operation for such pods.
{{< note >}}
- Before adding the taint `node.kubernetes.io/out-of-service` , it should be verified
that the node is already in shutdown or power off state (not in the middle of
restarting).
- The user is required to manually remove the out-of-service taint after the pods are
moved to a new node and the user has checked that the shutdown node has been
recovered since the user was the one who originally added the taint.
{{< /note >}}
### Pod Priority based graceful node shutdown {#pod-priority-graceful-node-shutdown}
{{< feature-state state="alpha" for_k8s_version="v1.23" >}}
To provide more flexibility during graceful node shutdown around the ordering
of pods during shutdown, graceful node shutdown honors the PriorityClass for
Pods, provided that you enabled this feature in your cluster. The feature
allows cluster administers to explicitly define the ordering of pods
during graceful node shutdown based on
[priority classes](/docs/concepts/scheduling-eviction/pod-priority-preemption/#priorityclass).
The [Graceful Node Shutdown](#graceful-node-shutdown) feature, as described
above, shuts down pods in two phases, non-critical pods, followed by critical
pods. If additional flexibility is needed to explicitly define the ordering of
pods during shutdown in a more granular way, pod priority based graceful
shutdown can be used.
When graceful node shutdown honors pod priorities, this makes it possible to do
graceful node shutdown in multiple phases, each phase shutting down a
particular priority class of pods. The kubelet can be configured with the exact
phases and shutdown time per phase.
Assuming the following custom pod
[priority classes](/docs/concepts/scheduling-eviction/pod-priority-preemption/#priorityclass)
in a cluster,
|Pod priority class name|Pod priority class value|
|-------------------------|------------------------|
|`custom-class-a` | 100000 |
|`custom-class-b` | 10000 |
|`custom-class-c` | 1000 |
|`regular/unset` | 0 |
Within the [kubelet configuration](/docs/reference/config-api/kubelet-config.v1beta1/#kubelet-config-k8s-io-v1beta1-KubeletConfiguration)
the settings for `shutdownGracePeriodByPodPriority` could look like:
|Pod priority class value|Shutdown period|
|------------------------|---------------|
| 100000 |10 seconds |
| 10000 |180 seconds |
| 1000 |120 seconds |
| 0 |60 seconds |
The corresponding kubelet config YAML configuration would be:
```yaml
shutdownGracePeriodByPodPriority:
- priority: 100000
shutdownGracePeriodSeconds: 10
- priority: 10000
shutdownGracePeriodSeconds: 180
- priority: 1000
shutdownGracePeriodSeconds: 120
- priority: 0
shutdownGracePeriodSeconds: 60
```
The above table implies that any pod with `priority` value >= 100000 will get
just 10 seconds to stop, any pod with value >= 10000 and < 100000 will get 180
seconds to stop, any pod with value >= 1000 and < 10000 will get 120 seconds to stop.
Finally, all other pods will get 60 seconds to stop.
One doesn't have to specify values corresponding to all of the classes. For
example, you could instead use these settings:
|Pod priority class value|Shutdown period|
|------------------------|---------------|
| 100000 |300 seconds |
| 1000 |120 seconds |
| 0 |60 seconds |
In the above case, the pods with `custom-class-b` will go into the same bucket
as `custom-class-c` for shutdown.
If there are no pods in a particular range, then the kubelet does not wait
for pods in that priority range. Instead, the kubelet immediately skips to the
next priority class value range.
If this feature is enabled and no configuration is provided, then no ordering
action will be taken.
Using this feature requires enabling the `GracefulNodeShutdownBasedOnPodPriority`
[feature gate](/docs/reference/command-line-tools-reference/feature-gates/)
, and setting `ShutdownGracePeriodByPodPriority` in the
[kubelet config](/docs/reference/config-api/kubelet-config.v1beta1/)
to the desired configuration containing the pod priority class values and
their respective shutdown periods.
{{< note >}}
The ability to take Pod priority into account during graceful node shutdown was introduced
as an Alpha feature in Kubernetes v1.23. In Kubernetes {{< skew currentVersion >}}
the feature is Beta and is enabled by default.
{{< /note >}}
Metrics `graceful_shutdown_start_time_seconds` and `graceful_shutdown_end_time_seconds`
are emitted under the kubelet subsystem to monitor node shutdowns.
## Swap memory management {#swap-memory}
{{< feature-state state="alpha" for_k8s_version="v1.22" >}}
Prior to Kubernetes 1.22, nodes did not support the use of swap memory, and a
kubelet would by default fail to start if swap was detected on a node. In 1.22
onwards, swap memory support can be enabled on a per-node basis.
To enable swap on a node, the `NodeSwap` feature gate must be enabled on
the kubelet, and the `--fail-swap-on` command line flag or `failSwapOn`
[configuration setting](/docs/reference/config-api/kubelet-config.v1beta1/#kubelet-config-k8s-io-v1beta1-KubeletConfiguration)
must be set to false.
{{< warning >}}
When the memory swap feature is turned on, Kubernetes data such as the content
of Secret objects that were written to tmpfs now could be swapped to disk.
{{< /warning >}}
A user can also optionally configure `memorySwap.swapBehavior` in order to
specify how a node will use swap memory. For example,
```yaml
memorySwap:
swapBehavior: LimitedSwap
```
The available configuration options for `swapBehavior` are:
- `LimitedSwap`: Kubernetes workloads are limited in how much swap they can
use. Workloads on the node not managed by Kubernetes can still swap.
- `UnlimitedSwap`: Kubernetes workloads can use as much swap memory as they
request, up to the system limit.
If configuration for `memorySwap` is not specified and the feature gate is
enabled, by default the kubelet will apply the same behaviour as the
`LimitedSwap` setting.
The behaviour of the `LimitedSwap` setting depends if the node is running with
v1 or v2 of control groups (also known as "cgroups"):
- **cgroupsv1:** Kubernetes workloads can use any combination of memory and
swap, up to the pod's memory limit, if set.
- **cgroupsv2:** Kubernetes workloads cannot use swap memory.
For more information, and to assist with testing and provide feedback, please
see [KEP-2400](https://github.com/kubernetes/enhancements/issues/2400) and its
[design proposal](https://github.com/kubernetes/enhancements/blob/master/keps/sig-node/2400-node-swap/README.md).
## {{% heading "whatsnext" %}}
* Learn about the [components](/docs/concepts/overview/components/#node-components) that make up a node.
* Read the [API definition for Node](/docs/reference/generated/kubernetes-api/{{< param "version" >}}/#node-v1-core).
* Read the [Node](https://git.k8s.io/design-proposals-archive/architecture/architecture.md#the-kubernetes-node)
section of the architecture design document.
* Read about [taints and tolerations](/docs/concepts/scheduling-eviction/taint-and-toleration/).
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