Operations | Monitoring | ITSM | DevOps | Cloud

When I started working in IT in the last 90’s, IT performance was always measured by the health of infrastructure: CPU utilization, network latency, server uptime, and for many organizations, little has changed in the last 30+ years. We became very good at keeping systems alive, yet users still struggled to get work done. That disconnect is exactly why Digital Employee Experience (DEX) has emerged as a critical discipline. But DEX on its own is not the end goal.

Engineering leaders face a common challenge: too much data scattered across too many tools, and no clear picture of how software delivery is actually performing. A software engineering intelligence platform pulls together metrics from your Git repositories, CI/CD pipelines, and issue trackers into a single view – helping you make decisions based on evidence rather than intuition.

Codex is OpenAI’s coding agent, powered by the GPT-5 family of models. It reads your files, proposes edits, and runs commands directly in your local environment. It ships as both a desktop app and an open source CLI, and it extends through plugins that connect it to external tools and services. Like any AI coding tool, Codex is strongest when the code it generates gets validated automatically.

BYOD (bring your own device) has always looked better on paper than it does in real life. The promise is clear: let people use the gadgets they already own. Less friction, lower costs, and more freedom. But when security and privacy are non-negotiable, the conversation around BYOD usually ends quickly. Not because BYOD is a bad idea, but because the model behind it doesn’t quite work. With BYOD, you’d be trying to secure something that isn’t meant to be trusted.

Let’s be real: building reliable tech products is hard. Modernizing that same tech without compromising the user experience is even harder. The "rip and replace" approach to modernization can severely disrupt your customers’ integration efforts and workflows. When it doesn’t work, reversing course might be the least-worst option. By contrast, the evolution of the HAProxy One application delivery platform architecture at HAProxy Technologies over 25 years has been gradual and consistent.

In early 2026, two back-to-back Linux kernel exploits, Copy Fail (CVE-2026-31431) and Dirty Frag (CVE-2026-43284 & CVE-2026-43500), shattered assumptions about how quickly attackers can weaponize disclosed CVEs. Dirty Frag, a zero-day Linux vulnerability that affected most major distributions, had PoC exploits published within hours of its disclosure. It’s a stark reminder: the timeline between vulnerability disclosure and active exploitation has shrunk from weeks to hours.

AI coding tools turned every engineer into a 10x developer. Now your CI/CD pipeline is the bottleneck. Learn how to handle 10x more deploys per engineer with Qovery's dual deployment model. Romaric founded Qovery to make Kubernetes accessible to every engineering team. He writes about platform strategy, developer experience, and the future of cloud infrastructure.

Non-technical teams are building apps on Lovable, Bolt.new, and Replit with company data and zero governance. Here's why that's a compliance nightmare - and what enterprise platform teams should deploy instead. Romaric founded Qovery to make Kubernetes accessible to every engineering team. He writes about platform strategy, developer experience, and the future of cloud infrastructure.

Effective disaster recovery testing follows a clear three-phase lifecycle: plan, execute, and review. Most DR programs fail not because of missing tools, but because of untested runbooks and unclear ownership. Platforms like Harness Resilience Testing bring chaos, load, and DR testing into one pipeline so teams can catch risks before they become incidents. Most organizations don't fail at disaster recovery because they lack technology.

For the past year, I've been hearing a version of the same thing from engineering leaders: AI tools are working, productivity is up, the business case is there. And yet, something about the picture still feels incomplete. So we decided to go find out how widespread that feeling actually is. We surveyed 700 engineers and managers across five countries, and published the results in the State of Engineering Excellence 2026.