Amazon EKS
Amazon's managed Kubernetes — AWS runs the control plane, you run (or don't) the nodes. Power and portability at the cost of Kubernetes's full operational weight.
What is EKS?
Amazon EKS (Elastic Kubernetes Service) is managed Kubernetes: AWS operates the control plane (the API server, etcd, scheduler) across AZs with an availability SLA, and you run workloads on nodes — self-managed EC2, managed node groups, or serverless via Fargate. It gives you standard, portable Kubernetes (not a proprietary fork) wired into AWS — IAM for auth, VPC networking, ELB integration, EBS/EFS volumes.
Why choose EKS — and why not
The case for: you get the full Kubernetes ecosystem (Helm, operators, service meshes, the entire CNCF landscape) with a managed, HA control plane, plus workload portability across clouds and on-prem that proprietary services can’t match. The case against is the same case against Kubernetes generally — operational weight. EKS manages the control plane, not your problems: you still own node scaling, version upgrades (Kubernetes moves fast and EOLs releases quickly — an EKS cluster left un-upgraded becomes a forced migration), networking (the VPC CNI and its IP-consumption behavior — pods eat subnet IPs fast), add-on lifecycle, and security hardening. There’s also a control-plane hourly charge on top of node costs.
The honest decision
EKS versus ECS versus App Runner/Fargate-direct is a complexity-versus-control ladder. If you need Kubernetes — multi-cloud portability, the ecosystem, complex orchestration, an existing platform team — EKS is the AWS-native way to get it. If you have a handful of services and no Kubernetes expertise, EKS is a heavy answer to a light question, and ECS/Fargate or App Runner deliver container orchestration at a fraction of the operational surface. “Use Kubernetes because it’s standard” has sunk many small teams into platform work that displaced product work.
What people get wrong
- EKS for a few services with no platform team — adopting Kubernetes’s full weight for a container-scheduling need.
- Skipping upgrade discipline — falling several versions behind turns routine updates into risky migrations.
- VPC CNI IP exhaustion — under-planning subnet sizing for pod density and running out of addresses under scale.
Primary source: Amazon EKS documentation
Historical figures and technical concepts for informational purposes only. Not technical, professional, legal, or financial advice. Sources: Official Documentation.