Introduction
Kubernetes has become the de facto standard for container orchestration, but running it in production requires careful planning and adherence to best practices. In this guide, we'll cover the essential patterns that will help you run reliable, secure, and efficient Kubernetes clusters.
Resource Management
One of the most common mistakes in Kubernetes deployments is improper resource management. Every container should have resource requests and limits defined.
Setting Resource Requests and Limits
Resource requests ensure your pods get scheduled on nodes with sufficient capacity, while limits prevent runaway containers from consuming all available resources.
Best practices:
- Always set both requests and limits
- Set requests based on typical usage patterns
- Set limits to handle peak loads
- Use Vertical Pod Autoscaler (VPA) to help determine optimal values
Security Hardening
Security in Kubernetes requires a defense-in-depth approach. Here are the key areas to focus on:
Pod Security Standards
Use Pod Security Standards to enforce security best practices:
- Run containers as non-root users
- Use read-only root filesystems where possible
- Drop unnecessary capabilities
- Avoid privileged containers
Network Policies
Implement network policies to control traffic flow between pods. Start with a deny-all policy and explicitly allow required communication paths.
Observability
You can't manage what you can't measure. Implement comprehensive observability:
The Three Pillars
- Metrics: Use Prometheus for collecting and storing metrics
- Logs: Centralize logs with solutions like ELK or Loki
- Traces: Implement distributed tracing with Jaeger or Zipkin
Conclusion
Running Kubernetes in production is a journey, not a destination. Start with these best practices and continuously iterate based on your organization's needs and the evolving Kubernetes ecosystem.