orchestration

Kubernetes

Managed container orchestration for services that need independent scale and fast, safe releases.

How we use it

Kubernetes is our default for production multi-service estates. We run managed only: AWS EKS, Azure AKS, or GCP GKE. Declarative deploys, horizontal scale, and self-healing — without you owning the control plane.

How we run clusters

  • Infrastructure as code — manifests in git, Helm or Kustomize for packaging
  • Auto-scaling — HPA on real metrics
  • Traffic and safety — network policies, RBAC, image scanning; service mesh only when it pays for itself
  • Storage — managed databases for state; PVs only where they belong

Typical patterns

  1. Microservices — scale services independently
  2. Blue-green / progressive delivery — zero-downtime releases
  3. Multi-cloud shape — same workload model on EKS, AKS, or GKE
  4. Batch — CronJobs for backups and reports
  5. Cost — bin packing, right-sizing, spot nodes for burst

Our standards

Managed control plane only. Everything above it is code. Releases measured in minutes, not an out-of-hours window. The 45-minute deploy at 2am is exactly what this platform is meant to kill.

Related services

FAQs

Q: Is Kubernetes overkill for a small team? Sometimes. A handful of quiet services may not need it. When release speed and reliability matter, even small teams benefit — we pick k3s or full managed EKS/AKS based on growth, not fashion.

Q: Where does data live? Managed databases (RDS, Cloud SQL) for primary state. StatefulSets and volumes for caches and queues when needed.

Q: What is the ops load? On managed Kubernetes the cloud runs the control plane. Your team (or our retainer) owns deploys, secrets, upgrades, and alerts — roughly one platform-minded person per large service estate, not a ten-person NOC.

Using Kubernetes in production?

Tell us what you run today. We will say whether Kubernetes fits, what we would change, and what it would take — no deck.