Operations | Monitoring | ITSM | DevOps | Cloud

If you run a software engineering tools team, you have almost certainly had this conversation: a developer asks for production data access to debug a real incident, and someone in the room says no. Not because the request is unreasonable (it isn’t), but because nobody wants to be the person who said yes when something goes wrong. That instinct is understandable. Production environments carry real risk. But the reflex to lock everything down has a cost that rarely gets accounted for.

From status facilities to distributed platforms, we take a practical look at the data center trends shaping 2026 so far. In 2026, data centers are crossing a tipping point. What were once emerging trends—software-defined infrastructure, AI-driven operations, sustainability constraints, and edge expansion—are now widespread reality, shaping real-world designs and buying decisions.

Today at KubeCon Amsterdam, we are announcing the 1.0 release of HAProxy Unified Gateway, incorporating valuable community feedback from our beta users. HAProxy Unified Gateway delivers unified, high-performance, cloud-native application routing backed by an open-source community with 25+ years of experience.

So, you've been tasked with automating one or more of your tedious, time-consuming IT processes… but what exactly does that mean? And perhaps more importantly, where on earth do you start? IT automation and orchestration can cover a broad spectrum of potential use-cases, ranging from the Service Desk to the NOC, to Infrastructure, and well beyond.

Redgate’s annual “State of the Database Landscape” survey has been published. Like every other year, it paints a really interesting picture. Personally, I love looking through this in order to better understand where people are experiencing pain in the management of their data. If you know where people are experiencing pain, as a technical person, you know where to focus your own skill development.

Modern software teams are under constant pressure to ship faster without breaking production. That’s why CI/CD best practices have become essential for high-performing DevOps organizations. Continuous integration and continuous delivery (CI/CD) help automate builds, testing, and deployments — but simply installing a pipeline tool isn’t enough. Without the right practices, pipelines become slow, flaky, and difficult to govern.

‍Flaky tests are automated tests that pass or fail inconsistently without changes to the code. In this guide, you’ll learn why flaky tests happen, how to detect them automatically in CI pipelines, and how modern platforms prevent them from slowing teams down. Your test went well three times yesterday. It didn't work this morning. You ran it again without changing anything, and now it works. Congratulations, you've just passed a flaky test, and now someone's day is going to be ruined.

Once upon a time, a monolith running on a handful of servers meant that incident management, even at 2:17 AM, was something a single generalist could handle. One person with enough context across the stack could reasonably diagnose whether the database was choking, a config had changed, or a server was running hot. They’d fix it and go back to sleep.