Docker and k8s: kubelet

Peter Jeon·2023년 4월 18일

Docker and k8s

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Kubelet

In this blog post, we will delve into kubelet, a core component of Kubernetes (k8s) that is responsible for maintaining the desired state of each node in the cluster.

What is Kubelet?

What is Kubelet?

Kubelet is a Kubernetes agent that runs on each node in a cluster. Its primary function is to ensure that the containers are running as expected within the pods. Kubelet communicates with the Kubernetes API server to obtain information about desired container states and then takes actions to enforce these states.

Kubelet Workflow

Kubelet Workflow

The kubelet follows a specific workflow to maintain the desired state of the containers:

  1. Kubelet registers itself with the Kubernetes API server to indicate that it's available to host containers.
  2. The Kubernetes API server assigns pods to the node.
  3. Kubelet watches the Kubernetes API server for pods assigned to it.
  4. Kubelet downloads the container images and starts the containers in the pod.
  5. Kubelet continuously monitors the health of the containers and restarts them if necessary.
  6. Kubelet reports the status of the containers and the node to the Kubernetes API server.

Kubelet Configuration

Kubelet Configuration

Kubelet can be configured using command-line flags or a configuration file. Some important configuration options include:

  • --kubeconfig: Path to a kubeconfig file that contains the kubelet's credentials and API server address.
  • --pod-manifest-path: Directory path where kubelet will look for static pod definitions.
  • --cgroup-driver: Cgroup driver used by kubelet (e.g., cgroupfs or systemd).

Here's an example of a kubelet configuration file:

apiVersion: kubelet.config.k8s.io/v1beta1
kind: KubeletConfiguration
address: 0.0.0.0
port: 10250
cgroupDriver: systemd

Conclusion

The kubelet is an essential component of Kubernetes, responsible for maintaining the desired state of containers on each node. It is the primary point of contact between the Kubernetes API server and the node, ensuring that the containers are running as expected and reporting their status back to the control plane.

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