Kubernetes Probes: Liveness, Readiness, and Startup
Use better Kubernetes probes by choosing the right signal, tuning thresholds, and avoiding false restarts, traffic drops, and noisy rollouts.
35 practical articles on Kubernetes, covering setup, troubleshooting, and production decisions.
Use better Kubernetes probes by choosing the right signal, tuning thresholds, and avoiding false restarts, traffic drops, and noisy rollouts.
Safely inspect a live Pod without baking debugging tools into production images.
A concrete rollout path for Kubernetes NetworkPolicy: start with default deny, whitelist DNS and key dependencies, and avoid breaking production traffic.
Combine Deployment rollingUpdate settings with PodDisruptionBudgets to keep availability during upgrades and node maintenance.
Deploy SGLang and vLLM Prefill/Decode roles with LWS DisaggregatedSet, NIXL startup commands, validation steps, and production safeguards.
How CPU/memory requests and limits actually affect scheduling, throttling, OOMKills, and autoscaling.
All posts in reverse chronological order.
Use better Kubernetes probes by choosing the right signal, tuning thresholds, and avoiding false restarts, traffic drops, and noisy rollouts.
Safely inspect a live Pod without baking debugging tools into production images.
A concrete rollout path for Kubernetes NetworkPolicy: start with default deny, whitelist DNS and key dependencies, and avoid breaking production traffic.
Combine Deployment rollingUpdate settings with PodDisruptionBudgets to keep availability during upgrades and node maintenance.
Deploy SGLang and vLLM Prefill/Decode roles with LWS DisaggregatedSet, NIXL startup commands, validation steps, and production safeguards.
How CPU/memory requests and limits actually affect scheduling, throttling, OOMKills, and autoscaling.
Learn concrete Kubernetes RBAC least-privilege patterns, how to reduce overbroad permissions, and which checks catch risky role bindings before incidents.
Separate container packaging, Kubernetes orchestration, and OpenStack IaaS so teams choose the layer that matches their actual operating problem.
A concrete Kubernetes troubleshooting playbook for Pending Pods, CrashLoopBackOff, readiness failures, networking issues, and node-level problems.
How to make autoscaling predictable: right requests, sane HPA behavior, VPA recommendations, and capacity-aware cluster scaling.
Learn how liveness, readiness, and startup probes work in Kubernetes, what each one should check, and how to avoid restart loops and false failures.
Use Helm to deploy a MySQL cluster on Kubernetes while understanding chart defaults, persistence, networking, and production tradeoffs.
Learn how kubectl port-forward works, when to use it for debugging, and how it differs from Services, Ingress, and production traffic paths.
Understand MySQL source-replica topology on Kubernetes and use MySQL 8.4 commands to verify replication status, routing, and failover.
Understand when to use a headless Service in Kubernetes, how DNS works without a virtual IP, and why it matters for StatefulSets and peer discovery.
Learn when to use a StatefulSet in Kubernetes, how stable Pod identity works, and why ordering and persistent storage matter.
Understand how StorageClass enables dynamic provisioning in Kubernetes, how default classes work, and how to choose the right storage policy.
Learn how PersistentVolumes and PersistentVolumeClaims work in Kubernetes, how binding happens, and how to troubleshoot storage lifecycle issues.
Use emptyDir, memory-backed volumes, and generic ephemeral volumes for caches, build spaces, and sidecar data while managing scheduling, eviction, and cleanup.
Learn the core Kubernetes volume types, what data survives Pod restarts, and how to choose between temporary and persistent storage.
Understand when to use ConfigMap or Secret in Kubernetes, how they reach Pods, and which practices reduce config drift and secret exposure.
Learn the essentials of running MySQL on Kubernetes, including StatefulSets, persistent storage, Services, and operational tradeoffs.
A concrete guide to stateful applications on Kubernetes, covering storage choices, stable identities, rollout concerns, and failure handling.
Learn practical canary release patterns in Kubernetes, how to reduce rollout risk, and which signals to watch before promoting traffic.
Understand declarative configuration in Kubernetes, why desired state matters, and how apply, diff, and reconciliation shape safe operations.
Learn how Kubernetes Namespaces organize resources, scope policies and quotas, and support safer multi-team or multi-environment clusters.
Learn how Kubernetes Services provide stable networking for Pods, how service types differ, and how to troubleshoot selectors, endpoints, and traffic flow.
Learn how Deployments and ReplicaSets work together in Kubernetes, how rolling updates happen, and how to debug rollout and selector problems.
Understand what a Pod really is in Kubernetes, how Pods are scheduled and restarted, and which commands help you debug them.
Learn when to use K3s, how to install it quickly, and how to run core Kubernetes workloads on a lightweight cluster for labs and edge environments.