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Kubernetes Best Practices for Production Workloads

WPT 01Introduction

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.

WPT 02Resource 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

WPT 03Security 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.

WPT 04Observability

You can't manage what you can't measure. Implement comprehensive observability:

The Three Pillars

  1. Metrics: Use Prometheus for collecting and storing metrics
  2. Logs: Centralize logs with solutions like ELK or Loki
  3. Traces: Implement distributed tracing with Jaeger or Zipkin

WPT 05Conclusion

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.

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