https://elijahu.me/portfolio/categories/platform-engineering/Infrastructure & Cloud Engineering portfolio by Elijah Udom (elijahu) — AWS, Kubernetes, eBPF Security, AI/ML Infrastructure, and Platform Engineering projects.Hugo -- gohugo.ioenFri, 11 Apr 2025 00:00:00 +0000https://elijahu.me/portfolio/projects/cicd-container-orch/Fri, 11 Apr 2025 00:00:00 +0000https://elijahu.me/portfolio/projects/cicd-container-orch/“A deployment pipeline that requires a human in the loop for every push isn’t a pipeline — it’s a bottleneck with extra steps.” This is a full walkthrough of taking a Flask application from local development to production on AWS using Docker, ECR, ECS, and GitHub Actions — with secrets handled properly from the start, not bolted on as an afterthought. Pipeline flow: local development → GitHub Actions → ECR → ECShttps://elijahu.me/portfolio/projects/orchestration-guide/Sat, 01 Mar 2025 00:00:00 +0000https://elijahu.me/portfolio/projects/orchestration-guide/“Manual deployments are technical debt with compound interest. Every time you run kubectl apply by hand you’re borrowing against future reliability.” This is a full breakdown of a push-to-deploy GitOps pipeline on Kubernetes — Flask webhook orchestration server, isolated test namespace with resource quotas, RBAC scoped to minimum permissions, network policy isolation between test and production, and blue-green deployment with automated rollback. Built because the manual process was unsustainable, documented because the failure modes are worth knowing.https://elijahu.me/portfolio/projects/gitea-ec2-guide/Sun, 23 Feb 2025 00:00:00 +0000https://elijahu.me/portfolio/projects/gitea-ec2-guide/“GitHub is fine until you’re rate-limited at 11 PM pushing a large repo before a deadline. That’s when you decide to build your own.” This is a full breakdown of running Gitea on AWS EC2 — not a happy-path tutorial, but the actual build including every error I hit and how I resolved it. Architecture, configuration, the 502 debugging session, backup automation, and what three months of running this in production looks like.