Kubernetes Best Practices for DevOps

Running Kubernetes in production requires following established best practices to ensure reliability, security, and scalability.

Resource Management

CPU and Memory Limits

Always set resource requests and limits for your containers:

apiVersion: v1
kind: Pod
spec:
  containers:
  - name: app
    image: nginx
    resources:
      requests:
        memory: "64Mi"
        cpu: "250m"
      limits:
        memory: "128Mi"
        cpu: "500m"

Why This Matters

Setting proper resource limits prevents containers from consuming all available resources and impacting other workloads on the same node.

Security Best Practices

1. Use non-root containers whenever possible
2. Implement Pod Security Standards
3. Regular security scanning of container images
4. Network policies for traffic isolation

Network Policy Example

apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
  name: deny-all
spec:
  podSelector: {}
  policyTypes:
  - Ingress
  - Egress

Monitoring and Observability

Essential monitoring components:

• Prometheus for metrics collection
• Grafana for visualization
• Jaeger for distributed tracing
• ELK Stack for centralized logging

Key Takeaways

• Always use resource limits
• Implement proper security measures
• Monitor everything
• Test your disaster recovery procedures

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Remember: The best practices are only as good as their implementation!