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

English ▾ English Português (Brasil) 简体中文 Topics ▾ Setup and Config git config help bugreport Credential helpers Gett...

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

kind: Cluster apiVersion: kind.x-k8s.io/v1alpha4 nodes: - role: control-plane # add a mount from /path/to/my/files on the host to /files on the node extraMounts: - hostPath: /path/to/my/files conta...

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

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

English ▾ English Français Português (Brasil) 简体中文 Topics ▾ Setup and Config git config help bugreport Credential hel...

Kubernetes provides several built-in APIs for declarative management of your workloads and the components of those workloads. Ultimately, your applications run as containers inside Pods; however, managing individual Pods would be a lot of effort. For example, if a Pod fails, you probably want to run a new Pod to replace it. Kubernetes can do that for you. You use the Kubernetes API to create a workload object that represents a higher abstraction level than a Pod, and then the Kubernetes control plane automatically manages Pod objects on your behalf, based on the specification for the workload object you defined.

This page explains two different approaches to setting up a highly available Kubernetes cluster using kubeadm: With stacked control plane nodes. This approach requires less infrastructure. The etcd members and control plane nodes are co-located. With an external etcd cluster. This approach requires more infrastructure. The control plane nodes and etcd members are separated. Before proceeding, you should carefully consider which approach best meets the needs of your applications and environment.