An admission controller is a piece of code that intercepts requests to the
Kubernetes API server prior to persistence of the object, but after the request
is authenticated and authorized. The controllers consist of the
list below, are compiled into the
kube-apiserver
binary, and may only be configured by the cluster
administrator. In that list, there are two special controllers:
MutatingAdmissionWebhook and ValidatingAdmissionWebhook. These execute the
mutating and validating (respectively) admission control
webhooks
which are configured in the API.
Admission controllers may be “validating”, “mutating”, or both. Mutating controllers may modify the objects they admit; validating controllers may not.
The admission control process proceeds in two phases. In the first phase,
mutating admission controllers are run. In the second phase, validating
admission controllers are run. Note again that some of the controllers are
both. In both phases, the controllers are run in the order specified by the
--admission-control
flag of kube-apiserver
.
If any of the controllers in either phase reject the request, the entire request is rejected immediately and an error is returned to the end-user.
Finally, in addition to sometimes mutating the object in question, admission controllers may sometimes have side effects, that is, mutate related resources as part of request processing. Incrementing quota usage is the canonical example of why this is necessary. Any such side-effect needs a corresponding reclamation or reconciliation process, as a given admission controller does not know for sure that a given request will pass all of the other admission controllers.
Many advanced features in Kubernetes require an admission controller to be enabled in order to properly support the feature. As a result, a Kubernetes API server that is not properly configured with the right set of admission controllers is an incomplete server and will not support all the features you expect.
The Kubernetes API server supports a flag, admission-control
that takes a comma-delimited,
ordered list of admission control choices to invoke prior to modifying objects in the cluster.
For example, the following command line turns on the NamespaceLifecycle
and the LimitRanger
admission controller:
kube-apiserver --admission-control=NamespaceLifecyle,LimitRanger ...
Note: Depending on the way your Kubernetes cluster is deployed and how the API server is started, you may need to apply the settings in different ways. For example, you may have to modify the systemd unit file if the API server is deployed as a systemd service, you may modify the manifest file for the API server if Kubernetes is deployed in a self-hosted way.
Use this admission controller by itself to pass-through all requests.
This admission controller modifies every new Pod to force the image pull policy to Always. This is useful in a multitenant cluster so that users can be assured that their private images can only be used by those who have the credentials to pull them. Without this admission controller, once an image has been pulled to a node, any pod from any user can use it simply by knowing the image’s name (assuming the Pod is scheduled onto the right node), without any authorization check against the image. When this admission controller is enabled, images are always pulled prior to starting containers, which means valid credentials are required.
Rejects all requests. Used for testing.
This admission controller observes creation of PersistentVolumeClaim
objects that do not request any specific storage class
and automatically adds a default storage class to them.
This way, users that do not request any special storage class do not need to care about them at all and they
will get the default one.
This admission controller does not do anything when no default storage class is configured. When more than one storage
class is marked as default, it rejects any creation of PersistentVolumeClaim
with an error and an administrator
must revisit their StorageClass
objects and mark only one as default.
This admission controller ignores any PersistentVolumeClaim
updates; it acts only on creation.
See persistent volume documentation about persistent volume claims and storage classes and how to mark a storage class as default.
This admission controller sets the default forgiveness toleration for pods to tolerate
the taints notready:NoExecute
and unreachable:NoExecute
for 5 minutes,
if the pods don’t already have toleration for taints
node.kubernetes.io/not-ready:NoExecute
or
node.alpha.kubernetes.io/unreachable:NoExecute
.
This admission controller will intercept all requests to exec a command in a pod if that pod has a privileged container.
If your cluster supports privileged containers, and you want to restrict the ability of end-users to exec commands in those containers, we strongly encourage enabling this admission controller.
This functionality has been merged into DenyEscalatingExec.
This admission controller will deny exec and attach commands to pods that run with escalated privileges that allow host access. This includes pods that run as privileged, have access to the host IPC namespace, and have access to the host PID namespace.
If your cluster supports containers that run with escalated privileges, and you want to restrict the ability of end-users to exec commands in those containers, we strongly encourage enabling this admission controller.
This admission controller is introduced in v1.9 to mitigate the problem where the API server gets flooded by event requests. The cluster admin can specify event rate limits by:
eventratelimit.admission.k8s.io/v1alpha1=true
is included in the
--runtime-config
flag for the API server;EventRateLimit
admission controller;EventRateLimit
configuration file from the file provided to the API
server’s command line flag --admission-control-config-file
:kind: AdmissionConfiguration
apiVersion: apiserver.k8s.io/v1alpha1
plugins:
- name: EventRateLimit
path: eventconfig.yaml
...
There are four types of limits that can be specified in the configuration:
Server
: All event requests received by the API server share a single bucket.Namespace
: Each namespace has a dedicated bucket.User
: Each user is allocated a bucket.SourceAndObject
: A bucket is assigned by each combination of source and
involved object of the event.Below is a sample eventconfig.yaml
for such a configuration:
kind: Configuration
apiVersion: eventratelimit.admission.k8s.io/v1alpha1
limits:
- type: Namespace
qps: 50
burst: 100
cacheSize: 2000
- type: User
qps: 10
burst: 50
See the EventRateLimit proposal for more details.
This plug-in is introduced in v1.9 to facilitate creation of dedicated nodes with extended resources. If operators want to create dedicated nodes with extended resources (like GPUs, FPGAs etc.), they are expected to taint the node with the extended resource name as the key. This admission controller, if enabled, automatically adds tolerations for such taints to pods requesting extended resources, so users don’t have to manually add these tolerations.
The ImagePolicyWebhook admission controller allows a backend webhook to make admission decisions. You enable this admission controller by setting the admission-control option as follows:
--admission-control=ImagePolicyWebhook
ImagePolicyWebhook uses a configuration file to set options for the behavior of the backend. This file may be json or yaml and has the following format:
imagePolicy:
kubeConfigFile: /path/to/kubeconfig/for/backend
# time in s to cache approval
allowTTL: 50
# time in s to cache denial
denyTTL: 50
# time in ms to wait between retries
retryBackoff: 500
# determines behavior if the webhook backend fails
defaultAllow: true
Reference the ImagePolicyWebhook configuration file from the file provided to the API server’s command line flag --admission-control-config-file
:
kind: AdmissionConfiguration
apiVersion: apiserver.k8s.io/v1alpha1
plugins:
- name: ImagePolicyWebhook
path: imagepolicyconfig.yaml
...
The ImagePolicyWebhook config file must reference a kubeconfig formatted file which sets up the connection to the backend. It is required that the backend communicate over TLS.
The kubeconfig file’s cluster field must point to the remote service, and the user field must contain the returned authorizer.
# clusters refers to the remote service.
clusters:
- name: name-of-remote-imagepolicy-service
cluster:
certificate-authority: /path/to/ca.pem # CA for verifying the remote service.
server: https://images.example.com/policy # URL of remote service to query. Must use 'https'.
# users refers to the API server's webhook configuration.
users:
- name: name-of-api-server
user:
client-certificate: /path/to/cert.pem # cert for the webhook admission controller to use
client-key: /path/to/key.pem # key matching the cert
For additional HTTP configuration, refer to the kubeconfig documentation.
When faced with an admission decision, the API Server POSTs a JSON serialized imagepolicy.k8s.io/v1alpha1
ImageReview
object describing the action. This object contains fields describing the containers being admitted, as well as any pod annotations that match *.image-policy.k8s.io/*
.
Note that webhook API objects are subject to the same versioning compatibility rules as other Kubernetes API objects. Implementers should be aware of looser compatibility promises for alpha objects and check the “apiVersion” field of the request to ensure correct deserialization. Additionally, the API Server must enable the imagepolicy.k8s.io/v1alpha1 API extensions group (--runtime-config=imagepolicy.k8s.io/v1alpha1=true
).
An example request body:
{
"apiVersion":"imagepolicy.k8s.io/v1alpha1",
"kind":"ImageReview",
"spec":{
"containers":[
{
"image":"myrepo/myimage:v1"
},
{
"image":"myrepo/myimage@sha256:beb6bd6a68f114c1dc2ea4b28db81bdf91de202a9014972bec5e4d9171d90ed"
}
],
"annotations":[
"mycluster.image-policy.k8s.io/ticket-1234": "break-glass"
],
"namespace":"mynamespace"
}
}
The remote service is expected to fill the ImageReviewStatus field of the request and respond to either allow or disallow access. The response body’s “spec” field is ignored and may be omitted. A permissive response would return:
{
"apiVersion": "imagepolicy.k8s.io/v1alpha1",
"kind": "ImageReview",
"status": {
"allowed": true
}
}
To disallow access, the service would return:
{
"apiVersion": "imagepolicy.k8s.io/v1alpha1",
"kind": "ImageReview",
"status": {
"allowed": false,
"reason": "image currently blacklisted"
}
}
For further documentation refer to the imagepolicy.v1alpha1
API objects and plugin/pkg/admission/imagepolicy/admission.go
.
All annotations on a Pod that match *.image-policy.k8s.io/*
are sent to the webhook. Sending annotations allows users who are aware of the image policy backend to send extra information to it, and for different backends implementations to accept different information.
Examples of information you might put here are:
In any case, the annotations are provided by the user and are not validated by Kubernetes in any way. In the future, if an annotation is determined to be widely useful, it may be promoted to a named field of ImageReviewSpec.
This admission controller is introduced in v1.7.
The admission controller determines the initializers of a resource based on the existing
InitializerConfiguration
s. It sets the pending initializers by modifying the
metadata of the resource to be created.
For more information, please check Dynamic Admission Control.
This admission controller observes pod creation requests. If a container omits compute resource requests and limits,
then the admission controller auto-populates a compute resource request based on historical usage of containers running the same image.
If there is not enough data to make a decision the Request is left unchanged.
When the admission controller sets a compute resource request, it does this by annotating the
the pod spec rather than mutating the container.resources
fields.
The annotations added contain the information on what compute resources were auto-populated.
See the InitialResources proposal for more details.
This admission controller denies any pod that defines AntiAffinity
topology key other than
kubernetes.io/hostname
in requiredDuringSchedulingRequiredDuringExecution
.
This admission controller will observe the incoming request and ensure that it does not violate any of the constraints
enumerated in the LimitRange
object in a Namespace
. If you are using LimitRange
objects in
your Kubernetes deployment, you MUST use this admission controller to enforce those constraints. LimitRanger can also
be used to apply default resource requests to Pods that don’t specify any; currently, the default LimitRanger
applies a 0.1 CPU requirement to all Pods in the default
namespace.
See the limitRange design doc and the example of Limit Range for more details.
This admission controller calls any mutating webhooks which match the request. Matching webhooks are called in serial; each one may modify the object if it desires.
This admission controller (as implied by the name) only runs in the mutating phase.
If a webhook called by this has side effects (for example, decrementing quota) it must have a reconciliation system, as it is not guaranteed that subsequent webhooks or validating admission controllers will permit the request to finish.
If you disable the MutatingAdmissionWebhook, you must also disable the
MutatingWebhookConfiguration
object in the admissionregistration.k8s.io/v1beta1
group/version via the --runtime-config
flag (both are on by default in
versions >= 1.9).
This admission controller examines all incoming requests on namespaced resources and checks if the referenced namespace does exist. It creates a namespace if it cannot be found. This admission controller is useful in deployments that do not want to restrict creation of a namespace prior to its usage.
This admission controller checks all requests on namespaced resources other than Namespace
itself.
If the namespace referenced from a request doesn’t exist, the request is rejected.
This admission controller enforces that a Namespace
that is undergoing termination cannot have new objects created in it,
and ensures that requests in a non-existent Namespace
are rejected. This admission controller also prevents deletion of
three system reserved namespaces default
, kube-system
, kube-public
.
A Namespace
deletion kicks off a sequence of operations that remove all objects (pods, services, etc.) in that
namespace. In order to enforce integrity of that process, we strongly recommend running this admission controller.
This admission controller limits the Node
and Pod
objects a kubelet can modify. In order to be limited by this admission controller,
kubelets must use credentials in the system:nodes
group, with a username in the form system:node:<nodeName>
.
Such kubelets will only be allowed to modify their own Node
API object, and only modify Pod
API objects that are bound to their node.
Future versions may add additional restrictions to ensure kubelets have the minimal set of permissions required to operate correctly.
This admission controller protects the access to the metadata.ownerReferences
of an object
so that only users with “delete” permission to the object can change it.
This admission controller also protects the access to metadata.ownerReferences[x].blockOwnerDeletion
of an object, so that only users with “update” permission to the finalizers
subresource of the referenced owner can change it.
FEATURE STATE: Kubernetes v1.9
alpha
This feature is currently in a alpha state, meaning:
The PVCProtection
plugin adds the kubernetes.io/pvc-protection
finalizer to newly created Persistent Volume Claims (PVCs). In case a user deletes a PVC the PVC is not removed until the finalizer is removed from the PVC by PVC Protection Controller. Refer to the PVC Protection for more detailed information.
This admission controller automatically attaches region or zone labels to PersistentVolumes as defined by the cloud provider (for example, GCE or AWS). It helps ensure the Pods and the PersistentVolumes mounted are in the same region and/or zone. If the admission controller doesn’t support automatic labelling your PersistentVolumes, you may need to add the labels manually to prevent pods from mounting volumes from a different zone.
This admission controller defaults and limits what node selectors may be used within a namespace by reading a namespace annotation and a global configuration.
PodNodeSelector uses a configuration file to set options for the behavior of the backend. Note that the configuration file format will move to a versioned file in a future release. This file may be json or yaml and has the following format:
podNodeSelectorPluginConfig:
clusterDefaultNodeSelector: <node-selectors-labels>
namespace1: <node-selectors-labels>
namespace2: <node-selectors-labels>
Reference the PodNodeSelector configuration file from the file provided to the API server’s command line flag --admission-control-config-file
:
kind: AdmissionConfiguration
apiVersion: apiserver.k8s.io/v1alpha1
plugins:
- name: PodNodeSelector
path: podnodeselector.yaml
...
PodNodeSelector uses the annotation key scheduler.alpha.kubernetes.io/node-selector
to assign node selectors to namespaces.
apiVersion: v1
kind: Namespace
metadata:
annotations:
scheduler.alpha.kubernetes.io/node-selector: <node-selectors-labels>
name: namespace3
This admission controller implements additional validations for checking incoming PersistentVolumeClaim
resize requests.
Note: Support for volume resizing is available as an alpha feature. Admins must set the feature gate ExpandPersistentVolumes
to true
to enable resizing.
After enabling the ExpandPersistentVolumes
feature gate, enabling the PersistentVolumeClaimResize
admission
controller is recommended, too. This admission controller prevents resizing of all claims by default unless a claim’s StorageClass
explicitly enables resizing by setting allowVolumeExpansion
to true
.
For example: all PersistentVolumeClaim
s created from the following StorageClass
support volume expansion:
kind: StorageClass
apiVersion: storage.k8s.io/v1
metadata:
name: gluster-vol-default
provisioner: kubernetes.io/glusterfs
parameters:
resturl: "http://192.168.10.100:8080"
restuser: ""
secretNamespace: ""
secretName: ""
allowVolumeExpansion: true
For more information about persistent volume claims, see “PersistentVolumeClaims”.
This admission controller injects a pod with the fields specified in a matching PodPreset. See also PodPreset concept and Inject Information into Pods Using a PodPreset for more information.
This admission controller acts on creation and modification of the pod and determines if it should be admitted based on the requested security context and the available Pod Security Policies.
For Kubernetes < 1.6.0, the API Server must enable the extensions/v1beta1/podsecuritypolicy API
extensions group (--runtime-config=extensions/v1beta1/podsecuritypolicy=true
).
See also Pod Security Policy documentation for more information.
This admission controller first verifies any conflict between a pod’s tolerations and its namespace’s tolerations, and rejects the pod request if there is a conflict. It then merges the namespace’s tolerations into the pod’s tolerations. The resulting tolerations are checked against the namespace’s whitelist of tolerations. If the check succeeds, the pod request is admitted otherwise rejected.
If the pod’s namespace does not have any associated default or whitelist of tolerations, then the cluster-level default or whitelist of tolerations are used instead if specified.
Tolerations to a namespace are assigned via the
scheduler.alpha.kubernetes.io/defaultTolerations
and
scheduler.alpha.kubernetes.io/tolerationsWhitelist
annotation keys.
The priority admission controller uses the priorityClassName
field and populates the integer value of the priority. If the priority class is not found, the Pod is rejected.
This admission controller will observe the incoming request and ensure that it does not violate any of the constraints
enumerated in the ResourceQuota
object in a Namespace
. If you are using ResourceQuota
objects in your Kubernetes deployment, you MUST use this admission controller to enforce quota constraints.
See the resourceQuota design doc and the example of Resource Quota for more details.
It is strongly encouraged that this admission controller is configured last in the sequence of admission controllers. This is so that quota is not prematurely incremented only for the request to be rejected later in admission control.
This admission controller will deny any pod that attempts to set certain escalating SecurityContext fields. This should be enabled if a cluster doesn’t utilize pod security policies to restrict the set of values a security context can take.
This admission controller implements automation for serviceAccounts.
We strongly recommend using this admission controller if you intend to make use of Kubernetes ServiceAccount
objects.
This admission controller calls any validating webhooks which match the request. Matching
webhooks are called in parallel; if any of them rejects the request, the request
fails. This admission controller only runs in the validation phase; the webhooks it calls may not
mutate the object, as opposed to the webhooks called by the MutatingAdmissionWebhook
admission controller.
If a webhook called by this has side effects (for example, decrementing quota) it must have a reconciliation system, as it is not guaranteed that subsequent webhooks or other validating admission controllers will permit the request to finish.
If you disable the ValidatingAdmissionWebhook, you must also disable the
ValidatingWebhookConfiguration
object in the admissionregistration.k8s.io/v1beta1
group/version via the --runtime-config
flag (both are on by default in
versions >= 1.9).
Yes. For Kubernetes >= 1.9.0, we strongly recommend running the following set of admission controllers (order matters):
--admission-control=NamespaceLifecycle,LimitRanger,ServiceAccount,PersistentVolumeLabel,DefaultStorageClass,DefaultTolerationSeconds,MutatingAdmissionWebhook,ValidatingAdmissionWebhook,ResourceQuota
It’s worth reiterating that in 1.9 and up, these happen in a mutating phase
and a validating phase, and that e.g. ResourceQuota
runs in the validating
phase, and therefore is the last admission controller to run.
MutatingAdmissionWebhook
appears before it in this list, because it runs
in the mutating phase.
For earlier versions, there was no concept of validating vs mutating and the admission controllers ran in the exact order specified.
For Kubernetes >= 1.6.0, we strongly recommend running the following set of admission controllers (order matters):
--admission-control=NamespaceLifecycle,LimitRanger,ServiceAccount,PersistentVolumeLabel,DefaultStorageClass,ResourceQuota,DefaultTolerationSeconds
For Kubernetes >= 1.4.0, we strongly recommend running the following set of admission controllers (order matters):
--admission-control=NamespaceLifecycle,LimitRanger,ServiceAccount,DefaultStorageClass,ResourceQuota
For Kubernetes >= 1.2.0, we strongly recommend running the following set of admission controllers (order matters):
--admission-control=NamespaceLifecycle,LimitRanger,ServiceAccount,ResourceQuota
For Kubernetes >= 1.0.0, we strongly recommend running the following set of admission controllers (order matters):
--admission-control=NamespaceLifecycle,LimitRanger,SecurityContextDeny,ServiceAccount,PersistentVolumeLabel,ResourceQuota