Operations | Monitoring | ITSM | DevOps | Cloud

The quick download: Most observability strategies overlook the internet layer that underpins every user’s digital experience, leaving it almost entirely unmonitored. Most IT teams monitor servers, networks, and applications, yet the infrastructure layer that carries traffic to users remains largely unmonitored.

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.