Kubernetes Tip: Requests & Limits (Without Surprises)
How CPU/memory requests and limits actually affect scheduling, throttling, OOMKills, and autoscaling.
Posts under Kubernetes / Tips.
How CPU/memory requests and limits actually affect scheduling, throttling, OOMKills, and autoscaling.
Combine Deployment rollingUpdate settings with PodDisruptionBudgets to keep availability during upgrades and node maintenance.
A structured workflow for diagnosing Pending pods, CrashLoopBackOff, traffic failures, and node-level issues—without guessing.
A production-friendly approach to ServiceAccounts, Roles, and bindings that minimizes blast radius without breaking workflows.
Avoid crash loops and bad rollouts by using the right probe for the right job.
A step-by-step approach to introducing NetworkPolicy without breaking everything on day one.
Safely inspect a live Pod without baking debugging tools into production images.
How to make autoscaling predictable: right requests, sane HPA behavior, VPA recommendations, and capacity-aware cluster scaling.