Latest from Sannan
Observability 2.0: Why DevOps Teams Are Moving From Monitoring to Intelligent System Understanding
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 number crossed a certain line, you’d get an alert. Then, someone dived in to figure out what was wrong. That basic approach isn’t […]
Sep 3, 2026 · 3 minAll articles by Sannan Ali
Showing 1–9GitOps in 2026: Why Pull Requests Are Taking Over Cloud Operations
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. Suddenly, everyone wanted answers. Who changed this? Was it tested? Can we fix it? How did production end up out of sync with […]
The Rise of AI-Native DevOps: How AI Is Reshaping Software Delivery in 2026
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, and better observability have all been key pieces of the puzzle. But now, things are shifting again. This time, artificial intelligence is changing […]
When AI Agents Get Production Access: The Next Big DevOps Risk
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 the real decisions? Still up to the engineers. That’s changing now. AI agents are stepping right into the heartbeat of operations. They can […]
Why Every DevOps Engineer is Suddenly Learning MCP
Before they were everywhere, developers spent ages stitching systems together, one by one. APIs changed everything. MCP wants to do the same for AI.
The Silent Risk of AI-Written DevOps Pipelines
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 out something like: “Create a deployment pipeline for a containerized application.” Seconds later, the AI spits out a complete workflow. It looks polished. […]
AI Agents in CI/CD Pipelines: Speed vs Control in Modern DevOps
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 is no manual sign-off and no one scanning through the final changes. Everything is running on the decisions of an AI agent plugged […]
AI-Generated Apps Without DevOps: A Security Disaster Waiting to Happen
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 wired together and within hours the app was live. The app worked. The app felt fast. The app looked like progress. No one […]
Can Claude Agents Replace DevOps Teams? A Practical Reality Check
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 complexity and risk.