Observed Signal · May 30, 2026 · Technical Release · Source: DEV Community · Impact: 2/5 · Sentiment: Positive
Blue-Green Deployment Pipeline on AWS EKS
A hands-on walkthrough demonstrating how to build a blue-green deployment pipeline on AWS EKS using Ubuntu and a terminal. The author provides exact commands, Kubernetes manifests, a multi-stage Dockerfile, and a GitHub Actions workflow that automates building, pushing to Amazon ECR, deploying to an idle environment, performing an internal health check, and switching traffic by patching the Service selector. The pipeline averages 29 seconds end-to-end, the traffic switch is under one second, and rollback under five seconds. The article also documents practical AWS-specific fixes (ELB hostnames, ECR node IAM policy), debugging tips, and a public repository (github.com/gbadedata/zero-downtime-bluegreen-eks). Recommended next steps include Prometheus/Grafana, canary releases, Terraform, and automated rollback triggers.
Practical, reproducible DevOps how-to that improves deployment reliability but is a technical tutorial rather than a major platform policy or industry-shifting announcement.
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Key Takeaways & Evidence Grounding
- Author built a blue-green deployment pipeline on AWS EKS with automation via GitHub Actions.
- Pipeline metrics: ~29 seconds end-to-end, traffic switch <1 second, rollback <5 seconds.
- Traffic switching implemented by patching the Kubernetes Service selector (kubectl patch service).
- Stack includes Node.js 20 + Express, Docker multi-stage builds, Kubernetes on AWS EKS, Amazon ECR, NGINX Ingress, GitHub Actions, and Ubuntu.
- Repository with code, manifests, and workflows: github.com/gbadedata/zero-downtime-bluegreen-eks.
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Solo-built production GitOps platform on AWS EKS
An infrastructure engineer documented building a production-style GitOps platform on AWS EKS around the Spring PetClinic microservices (7 services). The platform is fully provisioned with Terraform (remote state on S3 + DynamoDB) and uses GitHub Actions with OIDC to build Docker images and push to Amazon ECR. CI bumps image tags in a Helm values-driven chart; Argo CD reconciles the cluster (git as source of truth). Autoscaling is implemented at two layers (HPA for pods and Karpenter for nodes). Observability is provided by Prometheus, Grafana and Zipkin. The project is reproducible via a Makefile (provision, up, down). The author describes several production issues and fixes (tracing misconfiguration, CI tag mismatches, Argo CD vs HPA replica conflict, Karpenter IAM policy size) and publishes the infrastructure and app repos and a live demo URL.
End-to-End Containerized Deployment on AWS
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Amazon EKS Security Baseline Guide
This technical guide outlines a practical, layered security baseline for running Kubernetes on Amazon EKS. It covers build-time image hygiene (minimal base images, non-root users, ECR scanning, Dockerfile linting), identity and access (IAM + Kubernetes RBAC, prefer EKS Cluster Access Management over aws-auth, remove cluster-creator principal), network segmentation (default-deny network policies, Security Groups for Pods, mTLS options), workload identity (IRSA or EKS Pod Identity to avoid node role permissions), data protection (KMS-backed encryption, envelope encryption for Kubernetes Secrets, mounted secrets over env vars), and runtime detection/audit (EKS control plane logs, GuardDuty Runtime Monitoring, CloudTrail, CloudWatch). The article is grounded in working infrastructure with manifests and verification steps against a live cluster.
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