Kubernetes Best Practices for Production

Introduction

Kubernetes has become the de facto standard for container orchestration. However, running Kubernetes in production requires careful planning and adherence to best practices.

Resource Management

Always set resource requests and limits for your containers:

apiVersion: v1
kind: Pod
metadata:
  name: frontend
spec:
  containers:
  - name: app
    image: images.my-company.example/app:v4
    resources:
      requests:
        memory: "64Mi"
        cpu: "250m"
      limits:
        memory: "128Mi"
        cpu: "500m"

High Availability

Ensure high availability by:

1. Running multiple replicas of your applications
2. Using Pod Disruption Budgets
3. Implementing proper health checks

Security

Secure your Kubernetes cluster by:

• Using Network Policies
• Implementing RBAC
• Regularly updating Kubernetes and its components

Monitoring and Logging

Set up comprehensive monitoring and logging:

• Prometheus for metrics
• Grafana for visualization
• ELK stack or Loki for logs

Conclusion

Following these best practices will help you run a stable, secure, and efficient Kubernetes cluster in production.