Sannan Ali is a Computer Science student specializing in DevOps, with a strong focus on building reliable, scalable, and automated systems. His work centers on modern infrastructure practices, CI/CD pipelines, and system reliability, along with a growing interest in AI-driven automation. He also has experience in frontend and backend development, giving him a practical understanding of complete software systems. He writes about DevOps, AI in engineering, and real-world challenges in modern software development.
For a long time, monitoring just meant staring at dashboards and waiting for something to flash red. Engineers tracked things like CPU usage, memory, response times, error rates, and uptime. If a ...
For years, cloud infrastructure changes were mostly a mystery. An engineer would log into a dashboard, tweak a setting, run a few scripts, and that was it. Nobody worried until something broke ...
For years, DevOps had a pretty straightforward mission: help teams ship reliable software faster by getting development and operations folks working together. Tools like automation, continuous integration, continuous delivery, infrastructure as code, ...
It wasn’t that long ago that AI assistants just watched from the sidelines. They could answer your questions, explain how things worked, sum up logs, and write deployment scripts. Handy, sure, but ...
Before they were everywhere, developers spent ages stitching systems together, one by one. APIs changed everything. MCP wants to do the same for AI. ...
These days, when a developer needs a CI/CD pipeline, they don’t always dive into GitHub Actions docs or spin up Jenkins from scratch. Instead, they pull up an AI assistant and type ...
The moment you push your code, deployment fires off on its own. The pipeline kicks in, the tests sail through, and within a few minutes your app is live in production. There ...
A small internal tool was built over a weekend. An engineer used an AI coding assistant to generate most of the backend. A simple interface was added, a few API calls were ...
Are AI agents replacing DevOps engineers? Explore how tools like Claude are shifting DevOps from rigid automation to autonomous, adaptive systems, and why human judgment remains the critical link in managing system ...
