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Contract: ContainerRuntime
Resource
At the lowest layers of a Kubernetes node is the software that, among other things, starts and stops containers. It is called “Container Runtime”. The most widely known container runtime is Docker, but it is not alone in this space. In fact, the container runtime space has been rapidly evolving.
Kubernetes supports different container runtimes using Container Runtime Interface (CRI) – a plugin interface which enables kubelet to use a wide variety of container runtimes.
Gardener supports creation of Worker machines using CRI. For more information, see CRI Support.
Motivation
Prior to the Container Runtime Extensibility
concept, Gardener used Docker as the only
container runtime to use in shoot worker machines. Because of the wide variety of different container runtimes
offering multiple important features (for example, enhanced security concepts), it is important to enable end users to use other container runtimes as well.
The ContainerRuntime
Extension Resource
Here is what a typical ContainerRuntime
resource would look like:
---
apiVersion: extensions.gardener.cloud/v1alpha1
kind: ContainerRuntime
metadata:
name: my-container-runtime
spec:
binaryPath: /var/bin/containerruntimes
type: gvisor
workerPool:
name: worker-ubuntu
selector:
matchLabels:
worker.gardener.cloud/pool: worker-ubuntu
Gardener deploys one ContainerRuntime
resource per worker pool per CRI.
To exemplify this, consider a Shoot having two worker pools (worker-one
, worker-two
) using containerd
as the CRI as well as gvisor
and kata
as enabled container runtimes.
Gardener would deploy four ContainerRuntime
resources. For worker-one
: one ContainerRuntime
for type gvisor
and one for type kata
. The same resource are being deployed for worker-two
.
Supporting a New Container Runtime Provider
To add support for another container runtime (e.g., gvisor, kata-containers), a container runtime extension controller needs to be implemented. It should support Gardener’s supported CRI plugins.
The container runtime extension should install the necessary resources into the shoot cluster (e.g., RuntimeClass
es), and it should copy the runtime binaries to the relevant worker machines in path: spec.binaryPath
.
Gardener labels the shoot nodes according to the CRI configured: worker.gardener.cloud/cri-name=<value>
(e.g., worker.gardener.cloud/cri-name=containerd
) and multiple labels for each of the container runtimes configured for the shoot Worker machine:
containerruntime.worker.gardener.cloud/<container-runtime-type-value>=true
(e.g., containerruntime.worker.gardener.cloud/gvisor=true
).
The way to install the binaries is by creating a daemon set which copies the binaries from an image in a docker registry to the relevant labeled Worker’s nodes (avoid downloading binaries from the internet to also cater with isolated environments).
For additional reference, please have a look at the runtime-gvsior provider extension, which provides more information on how to configure the necessary charts, as well as the actuators required to reconcile container runtime inside the Shoot
cluster to the desired state.