GGRAVOXinlinuxbaseddevops.hashnode.dev·2d ago · 7 min readWhat I Learned from Assessing a CI/CD Pipeline for Production ReadinessProduction-ready CI/CD isn't defined by how fast you can deploy—it's defined by how confidently you can recover. Introduction As engineers, we often celebrate a successful deployment. The pipeline tu00
GGRAVOXinlinuxbaseddevops.hashnode.dev·Jun 20 · 2 min read Multi-Backend Containers: Why "Run Anywhere" Is Harder Than It SoundsOne of the recurring goals in platform engineering is reducing dependency on a single execution environment. This often leads to multi-backend container architectures where workloads can run across di00
GGRAVOXinlinuxbaseddevops.hashnode.dev·Jun 2 · 5 min readProductionizing Docker Compose Deployments on AWS EC2 using GitHub Actions: A Real CI/CD Debugging JourneyContainerized deployment pipelines appear deceptively straightforward until cloud networking, orchestration context, repository topology, and deployment automation begin interacting within production-00
GGRAVOXinlinuxbaseddevops.hashnode.dev·May 28 · 2 min readCI/CD Failure Analysis: Why Reproducible Delivery Pipelines Still BreakA deployment workflow failure was observed during validation of a containerized CI/CD rebuild pipeline running through GitHub Actions. The pipeline execution completed in 17 seconds before terminating00
GGRAVOXinlinuxbaseddevops.hashnode.dev·May 16 · 2 min readBuilding a Multi-Container Flask, PostgreSQL, and NGINX Stack Using Docker Compose — Including Every Failure Encountered.A production-style application deployment rarely succeeds on the first attempt. This project implemented a containerized multi-service architecture using Docker Compose, integrating Flask as the appli00
