Kubernetes Management
Cluster setup and ongoing management on EKS, GKE, or self-managed k3s/kubeadm — ingress, autoscaling policy, resource limits set from real usage (not guessed), and the monitoring stack to know when something's wrong before your users do.
What you get
- ✓Cluster provisioned and networked (VPC, subnets, security groups) as code
- ✓Ingress controller and TLS termination configured for your domains
- ✓Horizontal Pod Autoscaler tuned against real load, not default thresholds
- ✓Resource requests/limits set per workload to stop noisy-neighbour cost blowouts
- ✓Prometheus + Grafana (or your existing stack) wired to the cluster
- ✓A cost review — Kubernetes bills surprise people, we flag over-provisioned nodes before you pay for them
Who it's for
Teams already running containers who need the orchestration layer to stop being a part-time job for whoever set it up.
Typical engagement
Two to four weeks for initial setup; ongoing management billed monthly if you want us to keep operating it.
How we approach this
We size the cluster to your actual workload — namespaces, resource quotas, and node pools mapped to what you run today, with headroom for the autoscaling policy to actually do its job. Nothing goes to production before it's been exercised against a load test, not just a healthy-looking dashboard.
Security & reliability
Network policies restrict pod-to-pod traffic to what's explicitly needed, RBAC is scoped per team/service rather than cluster-admin-for-everyone, and secrets are managed through your cloud provider's secret manager or Vault, not left base64-encoded in a manifest.
Monitoring & incident response
Prometheus and Grafana (or your existing stack) get wired to cluster and application metrics from day one, with alerts tuned to your actual usage patterns — not default thresholds that fire constantly or never.
Migrated monolith to microservices on EKS.
40% cost reduction, 99.99% uptime →
Frequently asked questions
Managed (EKS/GKE) or self-managed?
Depends on your team size and budget — managed control planes cost more but remove a real operational burden. We'll recommend based on what you're actually running, not a default.
Do you take over on-call?
Optionally, under a managed-hosting retainer. Setup engagements hand off with a runbook either way.
What if our workloads aren't containerized yet?
That's a prerequisite, not a blocker — we scope containerization (see Docker) as an earlier phase of the same engagement if needed.
How do you handle stateful workloads like databases?
Conservatively — most of the time a managed database service outside the cluster is the right call, and we'll say so rather than force everything into Kubernetes because it's available.