Practical field guides on AWS, Kubernetes, Docker, CI/CD, observability, and production infrastructure, alongside the original LinkedIn archive that inspired them.
Long-form DevOps walkthroughs designed for search, reuse, and implementation
Build a production-ready CI/CD pipeline with GitHub Actions and Docker, including secure image promotion, caching, rollout gates, and rollback strategy.
Understand Kubernetes auto scaling with a practical example covering HP VP Cluster Autoscaler, metrics, and the common tuning mistakes teams make.
Learn how to secure Docker containers in production with hardened images, non-root users, runtime controls, secret handling, and supply-chain checks.
Short-form LinkedIn posts, lessons, and technical snapshots from the original archive
I recently tackled a common but expensive challenge in AWS: the hidden cost of public IPv4 addresses. In a setup with dozens of ECS Fargate tasks, my "In-use Public IP" charges...
Most "DevOps problems" aren't tech problems. They're just organizational chaos wearing a YAML hoodie. We love to buy tools to fix culture. It never works. If you want to actuall...
Take your professional growth to the next level. Get one full year of LinkedIn Premium at no cost through eligible Microsoft 365 bundles. The perfect way to level up your profes...
We're hiring a UI/UX Designer We're looking for a creative UI/UX Designer to help shape meaningful digital experiences. Location: Jalandhar, Punjab (On-site) Interested? Apply d...
$ git commit -m "New portfolio live." I wanted a portfolio that actually reflects my day-to-day work, so I built a CLI-themed portfolio to showcase my DevOps projects. It was bu...
In today's AI world, almost everyone is using AI to write code. The feature runs. The API responds. The UI looks fine. So we assume the code is good. But here's the uncomfortabl...
Hi, I'm Mojahid Ul Haque, a DevOps Engineer currently pursuing my M.Tech in Cloud Computing from BITS Pilani. This site keeps the original LinkedIn archive intact while extending it with deeper implementation guides on delivery engineering, Kubernetes, observability, AWS architecture, cost control, and production reliability.