Real AWS DevOps practices from production: GitOps on EKS, OpenTelemetry, supply chain security, chaos engineering with FIS, and AI-assisted DevOps with Amazon Q.
Blue/green deployments eliminate downtime by running two identical production environments. Traffic switches from blue (old) to green (new) instantly. This guide covers CodeDeploy automation, health check validation, and rollback strategies for zero-downtime releases on AWS ECS.
CI/CD infrastructure is invisible until your DevOps bill hits $15,000/month. Build minutes, artifact storage, and ephemeral environments accumulate costs that few teams track. Here is how to measure and control them.
A 500ms latency spike in a distributed system could be a slow RDS query, a Lambda cold start, a downstream API timeout, or a CloudWatch Logs ingestion delay. Finding the cause requires correlated logs, traces, and metrics — not grep.
Build tooling has shifted from JavaScript-based (Webpack, Babel) to native-speed Rust and Zig runtimes (SWC, Rolldown, Bun). The CI/CD implications are real: 10× faster builds, smaller caches, and lower build minute costs on AWS CodeBuild and GitHub Actions.
Production-grade GitHub Actions patterns for AWS workloads — OIDC authentication, pinned actions, blue-green deployments, build caching, and the security mistakes that leave your pipeline open to supply chain attacks.
A practical guide to AWS CodePipeline — pipeline architecture, CodeBuild configuration, deployment strategies, cross-account pipelines, and the CI/CD patterns that ship code safely to production.
A practical guide to CloudFormation for production — stack organization, cross-stack references, drift detection, change sets, rollback strategies, and the practices that make infrastructure deployments safe and repeatable.
A practical comparison of AWS CodePipeline, GitHub Actions, and Jenkins for CI/CD on AWS — covering integration, cost, scalability, and team fit.
A practical comparison of Terraform and AWS CDK for infrastructure as code — language support, state management, multi-cloud vs AWS-native trade-offs, and when to choose each.
A practical guide to AWS CloudWatch for production observability — custom metrics, structured logging, alarm strategies, dashboards, and cost-effective monitoring patterns.