Operations | Monitoring | ITSM | DevOps | Cloud

You've felt it. You're deep in a flow state with Claude or Cursor, building the next great thing, and then you hit the wall. Time to leave your editor, open a browser, click through a console, copy a connection string, paste it back, and pray you didn't fumble a character. The vibe is gone. What if your AI agent could just... do it? Deploy the database. Create the Kafka topic. Ship the app. All without you ever leaving the conversation. Today, that's real.

Modern IT environments generate huge volumes of telemetry across infrastructure, applications, cloud services, and networks. Teams now have more data than ever, but that does not automatically lead to better decisions. In many organizations, the real problem is no longer visibility alone. It is the ability to identify which signals matter, understand what they mean, and respond before users or business services are affected.

Mission-critical networks are changing fast. Utilities, transport operators, and critical infrastructure providers are under pressure to deliver more data, more automation, and more resilience—without ever compromising reliability. The challenge is simple: legacy SDH/SONET networks were built for a different era. They still deliver reliability. But they can’t support what comes next.

Three days, 20 talks at Devoxx France 2026. The through-line wasn't AI hype - it was discipline. Context engineering, code review under AI volume, and the local-vs-remote question now shaping security, cost, and sovereignty. Fabien is a senior software engineer at Qovery. He writes about platform engineering, AI tooling, context engineering, and the practical realities of running modern developer infrastructure.

The world of IT incident response is no longer just about getting an alert. As systems grow more complex, teams need tools that not only notify them of a problem but also help them solve it quickly. In this evolving landscape, two names dominate the conversation: PagerDuty, the established enterprise leader, and incident.io, the modern, Slack-native challenger.

Clover’s platform handles more than just payments: inventory, employee management, online sales, and customer loyalty programs are all running on a single monolith called the Clover Operating System (COS). Releasing updates to that platform reliably and without disrupting merchants is one of the hardest operational problems a platform team can face. For a decade, Clover ran HAProxy at the center of its infrastructure.

Sentry Snapshots diffs screenshots on every commit and blocks the PR if there are any visual changes so you can confirm they’re intentional. Users don’t interact with code, they interact with something they can see and touch. Snapshots gives you a lightweight way to test it. It’s easier than ever to change code. It’s also easier than ever to trade quality for speed. Modern codebases need guardrails to ensure correctness.

For modern business teams, the public web is the single largest source of competitive and market intelligence — and one of the hardest to keep up with. Compliance teams track changes to regulations, policies, and terms. Competitive intelligence teams watch rivals’ pricing, positioning, and personnel. Recruiters and business developers monitor hiring activity that signals new opportunities. In every case, the value lies in noticing a change before anyone else does.

Infrastructure and Operations (I&O) teams have long operated under a familiar paradox: the faster the business scales, the more pressure I&O absorbs. Every new application deployment, every endpoint added, and every cloud workload spun up generates more complexity, more risk and more tickets. The traditional responses to this pressure — more headcount, more tooling, more scripts, more APIs — have delivered incremental relief at best.

Modern applications are distributed, ephemeral and built from a dozen moving parts. To keep them reliable, you need real visibility: not just “is the server up?”, but“how is this request behaving, right now, across every component it touches?”. The good news is that the observability world has converged on a handful of open standards — Prometheus for metrics, OpenTelemetry for telemetry, plus battle-tested protocols like StatsD and NRPE.