Containers, orchestration, cloud infrastructure, and the practices that keep production reliable.
How Karpenter provisions right-sized Kubernetes nodes for pending pods and safely manages Spot, expiration, consolidation, IAM, and production disruption on EKS.
How KEDA turns queue and event metrics into pod or Job scaling, with authentication, timing controls, observability, backpressure, and production safeguards.
How GatewayClass, Gateway, and typed Route resources improve multi-team traffic management beyond a single overloaded Ingress object.
How to design Collector pipelines for metrics, logs, and traces without creating an unbounded queue, telemetry leak, or new single point of failure.
A complete operational model for tfstate files: what they contain, how remote backends coordinate teams, and how to migrate or recover state without corrupting it.
Recover a failed or pending Helm release by preserving evidence, inspecting revisions and resources, testing rollback, and avoiding unsafe secret edits.
Resolve Kubernetes ImagePullBackOff by classifying event errors, verifying immutable image identity, credentials, node networking, and runtime health.
Diagnose a Kubernetes NotReady node through conditions, leases, kubelet, runtime, storage, networking, and safe workload evacuation with evidence intact.
Investigate Kubernetes OOMKilled containers with termination evidence, time-series memory data, runtime ceilings, node pressure, and load validation.
Diagnose Kubernetes Pending pods from scheduler events, requests, affinity, taints, storage, topology, quota, and admission without weakening safeguards.