How I work with it
I run production Kubernetes platforms — cluster upgrades with zero downtime, GitOps deployments via ArgoCD, and just enough guardrails (RBAC, quotas, network policies) that teams can move fast without stepping on each other.
I treat manifests like code reviews matter: requests set from real usage data, probes that actually probe, and PodDisruptionBudgets before anyone asks.
Knowledge areas
- EKS operations — upgrades, node groups, Karpenter-style autoscaling
- RBAC, network policies, resource quotas and namespaced isolation
- Operators, CRDs and controllers — using them, not just running them
- Debugging from CNI weirdness to OOMKilled pods at 3 AM
knowledge shown honestly — no percentages, no infographics.
want the deep-dive version? ask me