A cluster is a set of nodes (physical or virtual machines) running Kubernetes agents, managed by the control plane. Kubernetes v1.34 supports clusters with up to 5,000 nodes. More specifically, Kubernetes is designed to accommodate configurations that meet all of the following criteria: No more than 110 pods per node No more than 5,000 nodes No more than 150,000 total pods No more than 300,000 total containers You can scale your cluster by adding or removing nodes.

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 control plane and contains the services necessary to run Pods. Typically you have several nodes in a cluster; in a learning or resource-limited environment, you might have only one node. The components on a node include the kubelet, a container runtime, and the kube-proxy.

In Kubernetes, some objects are owners of other objects. For example, a ReplicaSet is the owner of a set of Pods. These owned objects are dependents of their owner. Ownership is different from the labels and selectors mechanism that some resources also use. For example, consider a Service that creates EndpointSlice objects. The Service uses labels to allow the control plane to determine which EndpointSlice objects are used for that Service.

Production-Grade Container Orchestration

FastAPI framework, high performance, easy to learn, fast to code, ready for production

FastAPI framework, high performance, easy to learn, fast to code, ready for production

This page explains how to configure the kubelet's cgroup driver to match the container runtime cgroup driver for kubeadm clusters. Before you begin You should be familiar with the Kubernetes container runtime requirements. Configuring the container runtime cgroup driver The Container runtimes page explains that the systemd driver is recommended for kubeadm based setups instead of the kubelet's default cgroupfs driver, because kubeadm manages the kubelet as a systemd service.

In a Kubernetes cluster, a node can be shut down in a planned graceful way or unexpectedly because of reasons such as a power outage or something else external. A node shutdown could lead to workload failure if the node is not drained before the shutdown. A node shutdown can be either graceful or non-graceful. Graceful node shutdown The kubelet attempts to detect node system shutdown and terminates pods running on the node.

Skip to main content Back to top Ctrl + K Plot types User guide Tutorials Examples Reference Contribute Releases Gitt...

Skip to main content Back to top Ctrl + K Plot types User guide Tutorials Examples Reference Contribute Releases Gitt...