7 Common Kubernetes Pitfalls (and How I Learned to Avoid Them)

7 Common Kubernetes Pitfalls (and How I Learned to Avoid Them) 1. Skipping resource requests and limits How to avoid it: 2. Underestimating liveness and readiness probes How to avoid it: 3. “We’ll just look at container logs” (famous last words) How to avoid it: 4. Treating dev and prod exactly the same How to avoid it: 5. Leaving old stuff floating around How to avoid it: 6. Diving too deep into networking too soon How to avoid it: 7. Going too light on security and RBAC How to avoid it: Final thoughts It’s no secret that Kubernetes can be both powerful and frustrating at times. When I first started dabbling with container orchestration, I made more than my fair share of mistakes enough to compile a whole list of pitfalls. In this post, I want to walk through seven big gotchas I’ve encountered (or seen others run into) and share some tips on how to avoid them. Whether you’re just kicking the tires on Kubernetes or already managing production clusters, I hope these insights help you steer clear of a little extra stress. The pitfall : Not specifying CPU and memory requirements in Pod specifications.