Service
Kubernetes
Bootstrap or harden clusters: networking, upgrades, autoscaling, and runbooks so on-call is not guessing why capacity moved.
What this addresses
Upgrade fear, opaque networking, and autoscaling that surprises on-call.
Engagement shape
Hands-on in repos, IaC, and cluster config — from bootstrap to tuning autoscaling. Outcome: a clear path from “it works” to “it scales predictably.”
Work may include
- Cluster setup, add-ons, upgrades, and platform defaults that fit the org
- Networking, ingress, workloads, namespaces, and guardrails
- Automated scaling: HPA/VPA, cluster autoscaler, Karpenter, and capacity planning
- Observability and runbooks so on-call is not guessing why nodes or pods moved
How this fits
Services support product adoption, architecture, and implementation. They are not the company identity. Products remain the primary story.