The Kubernetes Hype vs the Reality
Kubernetes is remarkable engineering. It is also massive operational complexity that most startups do not need for years. Running Kubernetes before you need it is like building a factory floor for a business that still has 10 customers.
When You Do NOT Need Kubernetes
- Under $50K monthly revenue — your infrastructure cost is not your problem
- Under 5 engineers — K8s requires at least one dedicated DevOps specialist to manage properly
- Simple monolith or straightforward microservices — overkill for 3–5 services
- Not yet at scale — K8s complexity slows iteration, which kills startups faster than infra cost
What to Use Instead (And When)
- AWS ECS Fargate: managed containers without cluster management. Perfect for 90% of startups. Scales to millions of users.
- AWS App Runner: even simpler — point at your Docker image, App Runner handles everything. Best for APIs under 10K req/min.
- Railway / Render: developer-first platforms that abstract all infrastructure. Best for solo founders and early teams.
- Heroku (via Salesforce): still viable for Django/Python apps with simple deployment needs.
When Kubernetes Actually Makes Sense
- 50+ microservices that need individual scaling policies
- Hybrid cloud or multi-cloud requirements
- Dedicated DevOps team of 3+ engineers
- Compliance requirements that need namespace-level isolation
- Batch ML workloads that need GPU node scheduling
The Migration Path
Start on ECS Fargate or App Runner. When your complexity genuinely outgrows it — typically at 20+ services or 20+ engineers — migrate to EKS (managed Kubernetes on AWS). The migration is straightforward at that stage. Starting with K8s to avoid migration later is premature optimisation.
The Cost Comparison
- ECS Fargate: pay per task, no control plane cost, no dedicated DevOps required
- EKS: $73/month control plane + EC2/Fargate nodes + DevOps engineer time ($150K+/year)
- Self-managed K8s: not recommended — the operational burden is not worth the cost saving
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