Service
Kubernetes & DevOps
Managed Kubernetes, CI/CD, and platform ops — reliable deploys without needing a platform team of ten.
Kubernetes & DevOps
We run the platform under your applications: managed Kubernetes, pipelines that actually ship, and the monitoring so you know when something is wrong. Same discipline we use on migrations — everything as code, every release reversible.
When Kubernetes is the right call
If you need independent scaling, frequent releases, or multi-service estates that outgrew a single VM and a shell script, managed Kubernetes (EKS, AKS, or GKE) is usually the answer. If you have three services and a quiet traffic curve, we will say so — and recommend something smaller.
What we set up and operate
- Containers — production Docker images, not "it works on my machine"
- Orchestration — managed clusters sized for your workloads
- CI/CD — build, test, deploy on every merge; rollback ready
- Observability — metrics, logs, and alerts that page the right person
- Security basics — network policies, RBAC, secrets out of the repo
How we work day to day
- Managed Kubernetes only (EKS / AKS / GKE) — we do not babysit control planes
- GitOps and Helm where they earn their keep
- Cost review baked in: bin packing, right-sizing, spot for burst where safe
- Runbooks and handover so your team is not locked to us forever
What you get
Deliverables
- Managed Kubernetes cluster setup and hardening
- CI/CD pipeline from first commit to production
- Container registry and image scanning
- Monitoring, alerting, and runbooks
FAQ
Do we need Kubernetes?
Only if horizontal scale, frequent releases, or multi-service ops justify it. We assess the workload first. Small estates often do better on managed containers or a simpler host model.
How long before the team can run it?
With handover and runbooks, most teams are productive in a few weeks — not months of theory. We stay for the messy first production incidents if you want a retainer.
What does it cost to run?
It depends on traffic and how wasteful the first design was. We optimise for cost after reliability: right-size, reserved baseline, spot for overflow where safe.
Tell us what you're running
A few questions first — we show up to the call already understanding the problem.