Kubernetes Production Deployment Guide

Kubernetes, abbreviated as k8s, is an open-source container orchestration platform used for automating the deployment, scaling, and management of containers. When deploying Kubernetes in a production environment, the following process is typically followed:

1. Determine deployment architecture: Based on actual requirements, decide on the architecture of the k8s cluster, including the number and configuration of Master and Worker nodes.
2. Prepare infrastructure: Ensure that the network and storage resources of infrastructure such as virtual machines, physical machines, and cloud servers meet the requirements of Kubernetes.
3. Install a k8s cluster: Follow official documentation or third-party tutorials, and carefully install the k8s cluster step by step, including setting up Master and Worker nodes.
4. Set up networking and storage: configure network plugins (such as Calico, Flannel, etc.) and storage plugins (such as CSI, Rook, etc.) for the k8s cluster to ensure communication between containers and access to storage.
5. Deploy applications: Use kubectl tool or Helm package manager to deploy applications to k8s cluster, manage resources using Deployment, StatefulSet, etc.
6. Monitoring and logging: Deploy monitoring and logging systems (such as Prometheus, Grafana, EFK, etc.) to monitor the running status of the k8s cluster and performance of applications.
7. High availability and automation: configure highly available components such as kube-apiserver and etcd, and use automated operation and maintenance tools such as kubernetes-dashboard and KubeSphere for cluster management.
8. Security and permission control: Configure RBAC, network policies, and other security mechanisms to regulate user and application access to the k8s cluster, preventing unauthorized access and data leaks.
9. Update and maintain: Regularly update the k8s cluster and application versions, troubleshoot issues and optimize performance to ensure the cluster runs stably and securely.

The above is a general process for deploying a Kubernetes production environment, specific deployment steps and configurations can be adjusted and optimized based on actual circumstances.