Kubernetes Consulting

Where teams get stuck

A cluster gets stood up quickly to hit a deadline. It works. Then the traffic grows, the person who built it moves on, and nobody wants to touch it. Upgrades slip, node pools stay oversized because nobody knows what is safe to shrink, and every deploy carries a quiet risk that no one can articulate.

We have run production Kubernetes for platforms serving hundreds of thousands of users, and the pattern is consistent: the cluster is rarely the problem. The problem is that nothing about it is written down, reproducible, or observable.

How we work

We start by reading what you have — Terraform, manifests, CI config, dashboards — and produce a written map of how a request actually reaches your application. That usually surfaces two or three things nobody knew were true.

From there we work in your repositories, as pull requests your team reviews. No parallel infrastructure, no proprietary tooling, no “we will hand it over later”. Everything lands as code in your accounts, under your keys.

Beyond the happy path

Production is defined by what happens when things break. So we make sure a node can die without anyone noticing, a bad deploy rolls back without a human, and the alerts that do fire are ones a person can act on.

If you also need the disaster-recovery side — a full standby environment with a measured recovery time — that is its own discipline, and we cover it under disaster recovery.