Overview: IoT shifts from connectivity to real-time, AI-driven operational intelligenceEdge computing and industry platforms ...

This week's stories show how fast attackers change their tricks, how small mistakes turn into big risks, and how the same old ...

The convergence of artificial intelligence, cloud-native architecture, and data engineering has redefined how enterprises ...

Continuous tech-debt monitoring & governance Tech debt removal is typically reactive and ad-hoc exercise. AI can help run periodic scans, update debt scores, and feed insights into tech governance ...

It was on a very silly project, but with even Linux's creator now using AI, the debate over code quality, maintainability, and developer skills is likely to intensify.

Discover the top 10 configuration management tools for DevOps teams in 2026. This comprehensive guide reviews their features, ...

In this article author Sachin Joglekar discusses the transformation of CLI terminals becoming agentic where developers can state goals while the AI agents plan, call tools, iterate, ask for approval ...

A simple rule of thumb: In general, AI is best reserved for well-defined, repetitive tasks. This includes anything that ...

Rust-based inference engines and local runtimes have appeared with the shared goal: running models faster, safer and closer ...

There are many good answers to this question. I like Amazon's description of DevOps: "DevOps is the combination of cultural philosophies, practices, and tools that increases an organization’s ability ...