Kubernetes engineering: production-grade clusters, deployment pipelines, and honest advice about when Kubernetes is more platform than you need.
A platform team you did not plan to hire
Kubernetes solves scaling problems and creates operational ones: upgrades, networking, secrets, observability, and on-call knowledge that walks out the door with one engineer. Teams that adopt it for a handful of services buy a platform-team workload without the platform team. Matching the tool to the scale is the first decision.
What we build with Kubernetes
- Managed cluster builds on EKS, GKE, or AKS with sane defaults
- GitOps deployment pipelines with progressive rollouts
- Observability, autoscaling, and resource governance
- Migrations both onto Kubernetes and off it, whichever fits the workload
How we work
Confirm the workload justifies a cluster before building one
Prefer managed control planes; self-hosting is rarely worth it
Everything through Git: no kubectl-applied mystery state
Right-size requests and limits so autoscaling means something
Typical stack
Frequently asked questions
Maybe not, and we will tell you. Many products run beautifully on Cloud Run, ECS, or App Service with a fraction of the operational load. Kubernetes earns its cost with many services, custom networking needs, or multi-team platforms.
Yes, that is a common inheritance. We document what exists, upgrade it onto a supported path, and either train your team to own it or move the workload somewhere lighter.