How to Set Up Kubernetes for a Startup
Kubernetes without the platform team - the managed cluster setup that works for 5-50 engineers.
Kubernetes is powerful enough to run Netflix and complex enough to require a dedicated platform team - if you set it up wrong. This guide covers the managed cluster configuration that gives you container orchestration auto-scaling and rolling deployments without requiring a Kubernetes specialist to maintain it.
No fluff. Production-grade answers from engineers who build this every day.
Managed Cluster vs Self-Managed - The Decision
Self-managed Kubernetes (kubeadm k3s on bare metal) makes sense for specific compliance requirements or extreme cost optimization. For 95% of startups its unnecessary complexity. Managed options: EKS (AWS) GKE (Google Cloud) AKS (Azure). GKE is the most mature and developer-friendly. EKS is the right choice if youre already deep in AWS. All three handle the control plane upgrades and most operational complexity.
At Valletta Software, we focus on:
Managed cluster: GKE Autopilot EKS with managed node groups or AKS - dont manage the control plane
Namespace strategy: per-environment (dev staging prod) or per-team - not one flat namespace
Resource requests and limits: always set both - Kubernetes scheduling depends on requests
HPA: Horizontal Pod Autoscaler on CPU and custom metrics - scale on load not manually
RBAC: least privilege - developers get read access CI gets deploy access no cluster-admin in prod
Network policies: deny-all default allow explicitly - microservices should not talk freely
Ingress: nginx-ingress or cloud-native load balancer with TLS termination - not NodePort
The Production Checklist for a Startup Kubernetes Cluster
The things that bite you six months after launch if you skip them.
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How to Set Up Kubernetes for a Startup - With Engineers Who've Run It in Production
Our DevOps engineers configure Kubernetes clusters with managed node groups HPA RBAC network policies External Secrets and Prometheus monitoring - the complete production setup.
Our engineers are trained in today's most powerful tools - Copilot, Claude, Cursor, and AI-assisted tooling - and use them daily to move faster without cutting corners.
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Our DevOps engineers configure Kubernetes clusters with managed node groups, HPA, RBAC, network policies, External Secrets, and Prometheus monitoring.
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