If you are using a released version of Kubernetes, you should refer to the docs that go with that version.
The latest release of this document can be found [here](http://releases.k8s.io/release-1.1/docs/admin/admission-controllers.md).Documentation for other releases can be found at releases.k8s.io.
Table of Contents
- Admission Controllers
An admission control plug-in 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 plug-in code is in the API server process and must be compiled into the binary in order to be used at this time.
Each admission control plug-in is run in sequence before a request is accepted into the cluster. If any of the plug-ins in the sequence reject the request, the entire request is rejected immediately and an error is returned to the end-user.
Admission control plug-ins may mutate the incoming object in some cases to apply system configured defaults. In addition, admission control plug-ins may mutate related resources as part of request processing to do things like increment quota usage.
Many advanced features in Kubernetes require an admission control plug-in 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 control plug-ins 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.
Use this plugin by itself to pass-through all requests.
Rejects all requests. Used for testing.
This plug-in 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 plug-in.
This functionality has been merged into DenyEscalatingExec.
This plug-in 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 plug-in.
This plug-in implements automation for serviceAccounts.
We strongly recommend using this plug-in if you intend to make use of Kubernetes ServiceAccount
objects.
This plug-in will deny any pod with a SecurityContext that defines options that were not available on the Container
.
This plug-in 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 plug-in to enforce quota constraints.
See the resourceQuota design doc and the example of Resource Quota for more details.
It is strongly encouraged that this plug-in is configured last in the sequence of admission control plug-ins. This is so that quota is not prematurely incremented only for the request to be rejected later in admission control.
This plug-in 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 plug-in 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 plug-in observes pod creation requests. If a container omits compute resource requests and limits, then the plug-in 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 plug-in sets a compute resource request, it annotates the pod with information on what compute resources it auto-populated.
See the InitialResouces proposal for more details.
This plug-in will observe all incoming requests that attempt to create a resource in a Kubernetes Namespace
and reject the request if the Namespace
was not previously created. We strongly recommend running
this plug-in to ensure integrity of your data.
The functionality of this admission controller has been merged into NamespaceLifecycle
This plug-in will observe all incoming requests that attempt to create a resource in a Kubernetes Namespace
and create a new Namespace
if one did not already exist previously.
We strongly recommend NamespaceLifecycle
over NamespaceAutoProvision
.
This plug-in enforces that a Namespace
that is undergoing termination cannot have new objects created in it,
and ensures that requests in a non-existant Namespace
are rejected.
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 plug-in.
Yes.
For Kubernetes 1.0, we strongly recommend running the following set of admission control plug-ins (order matters):
--admission-control=NamespaceLifecycle,LimitRanger,SecurityContextDeny,ServiceAccount,ResourceQuota