DevOps, Docker, Kubernetes, and EKS on AWS: Smoother Deployments for Serious Teams

Not every workload belongs in Lambda. Long-lived connections, specialised runtimes, or legacy Node.js services sometimes fit Docker on ECS or Kubernetes on AWS EKS better. The art is choosing the right split and making DevOps boring: repeatable builds, staged promotions, and observability everywhere.

Images and supply chain

Small, non-root Docker images, pinned base tags, and image scanning in CI reduce surprise vulnerabilities. Build once, promote the same artifact through dev, staging, and production.

EKS foundations

For EKS, we care about cluster networking, node groups or Fargate profiles, ingress (ALB or other controllers), and IAM roles for service accounts (IRSA) so pods do not rely on long-lived cloud keys. Route53 and ACM certificates should be automated, not click-ops.

CI/CD that teams actually use

Pipelines should run tests, TypeScript typechecks, and security checks before deploy. Blue/green or canary releases on EKS reduce blast radius. Rollbacks must be one clear action—not a scramble.

Monitoring

CloudWatch, Prometheus-compatible metrics, and tracing (OpenTelemetry) give you a picture of latency and errors across Lambda and Kubernetes alike. Alerts should page humans for actionable problems, not every blip.

Hybrid with serverless

Many products combine API Gateway + Lambda for bursty HTTP with EKS for steady workers. Document the boundary: who owns auth, how services authenticate to each other, and where data lives (RDS, DynamoDB, caches).

If your Kubernetes or AWS delivery story needs better structure, we improve deployments, containers, and infrastructure so the team spends time on features—not firefighting.