Kubernetes consulting — clusters your team can actually run.

Kubernetes is easy to deploy to and hard to operate. I'm a freelance Kubernetes and platform engineer who builds clusters founders and CTOs can hand to their own team: sane RBAC, admission controls, cost visibility, and a developer experience that doesn't require a platform team to babysit. You get production-grade orchestration without ops becoming the bottleneck.

6+
Yrs Engineering
15
Clients
99.9%
Uptime
60%
Cost Saved

What a Kubernetes engagement covers

Four layers from control plane to developer experience — built to be operated, not just stood up.

Cluster

Cluster Architecture

EKSGKETerraform

Managed or self-hosted control planes with node-group design, network policy, and RBAC that follows least privilege instead of cluster-admin-for-everyone.

Workloads

Deployment & Delivery

HelmArgoCDKustomize

GitOps-driven rollouts with health checks, progressive delivery, and rollback. Manifests reviewed like code, not pasted from a Stack Overflow answer.

Platform

Developer Experience

Ingresscert-managerOPA

Self-service namespaces, admission controls, and internal tooling so product engineers ship without filing a ticket for every deploy.

Runtime

Reliability & Cost

PrometheusHPAKarpenter

Autoscaling that tracks real demand, resource requests that reflect reality, and cost visibility per namespace — no vendor tool required.

How we work together

Fixed-scope for a defined buildout or audit; time & materials for embedded, ongoing work. Remote-first, and every engagement ends with a handover your team can actually run — documented, in version control, yours to keep.

Response within 24hRemote-firstFixed-scope or T&MHandover guarantee — no vendor lock-in

From the field notes

Running Kubernetes in production and want it to stop being a full-time job?

Start a consultation