Kubernetes in Production: Lessons Learned
Real-world insights and best practices for running Kubernetes clusters in production environments.
Kubernetes has become the de facto standard for container orchestration, but running it in production requires careful planning and ongoing attention to detail.
Resource management is critical for cluster stability. Setting appropriate resource requests and limits prevents noisy neighbour problems and ensures fair resource allocation across workloads.
Network policies provide essential security controls by limiting pod-to-pod communication. Implement a default-deny policy and explicitly allow only necessary traffic flows.
Observability is non-negotiable in production. Implement comprehensive monitoring with Prometheus, logging with the ELK stack or Loki, and distributed tracing with Jaeger or Zipkin.
Cluster upgrades require careful planning. Test upgrades in staging environments, have rollback procedures ready, and consider using managed Kubernetes services to reduce operational burden.
Backup and disaster recovery strategies must account for both cluster state and persistent data. Regularly test your recovery procedures to ensure they work when needed.
Security hardening includes regular scanning for vulnerabilities, implementing pod security standards, and keeping all components updated with security patches.