Devops

While many IT and engineering leaders understand the benefits of a comprehensive observability practice, achieving full visibility still presents some

As AI coding tools accelerate software delivery, they are also intensifying a problem DevOps and SRE teams have been dealing

Most platform teams aren’t deciding whether they’ll run across multiple clouds. They already are, or they’ll be soon. The real

If you are of a certain age, you remember the old StarKist commercials. Charlie the Tuna would swim up proudly

JetBrains has launched a new “agentic” tooling stack that pairs a multi‑agent development environment, Air, with a standalone, LLM‑agnostic coding

I have been covering observability for a long time. Long enough to remember when we called it APM. Long enough

AI coding agents are good at writing code. They’re not good at knowing which Azure service fits your workload, which

Google’s Gemini Code Assist team shipped a set of updates on March 10 that target the part of development where

The math was straightforward. Code output per engineer at Anthropic increased by 200% over the past year. Code review didn’t

An analysis of 2,000 organizations worldwide finds that historically lower performing software engineering teams are seeing nearly a 50% improvement