Operations | Monitoring | ITSM | DevOps | Cloud

Observability Expanding Beyond Infrastructure and Into AI Systems

Observability revolves essentially around understanding infrastructure health. This means that operations teams monitor applications, netwo0rks, database and cloud environments using familiar signals. They use logs, metrics, latency, uptime measurements, and traces. If systems remain available and the performance stays within expected thresholds, the teams have enough visibility to understand whether applications are functioning properly.

Inside the Grafana AI Team Weekly: Guards for AI Observability (May 5, 2026)

This is an excerpt from a real AI team weekly meeting where we talk about the stuff we build and occasionally also demo them! In this one, Principal Software Engineer Sven Großmann shows a new feature he's working on for AI Observability, called "guards". We're showing parts of our team meetings to build in public in some small way and give you a sneak preview of what's to come. But not all features we show may make it to production! You've been warned. :)

AI Agent Orchestration in IT Operations: The Complete Developer's Guide

If you've spent any time in IT operations, you know the drill - alerts firing at 2 a.m., cascading failures, runbooks nobody follows correctly, and a team stretched too thin. That's the environment where AI agent development starts making real sense. Not as a buzzword, but as an actual engineering answer to an operational problem that's been compounding for years. From our team's point of view, orchestrating multiple AI agents in IT isn't just automation. It's about building systems that coordinate and act the way a competent ops team would - minus the fatigue.

Top Business Process Automation Trends Shaping 2026 Workflows

Businesses in Australia are operating in a very different environment than they were even five years ago. Service-based companies are handling higher client expectations, tighter compliance requirements, growing admin loads and increasingly complex operations - often without expanding their teams at the same pace.

Your Company Has 10x More Developers Than You Think

The low-code promise failed for 15 years. AI builders delivered in 15 months. Here's what actually changed, why the engineer in me resisted it, and what it means for every CTO. Romaric founded Qovery to make Kubernetes accessible to every engineering team. He writes about platform strategy, developer experience, and the future of cloud infrastructure.

Don't Ban the Builders - Govern Them

AI tools turned everyone into a builder. Your sales team, your finance team, your CEO - they're all shipping apps now. The answer isn't to ban them. It's to give them a governed platform they actually want to use. Romaric founded Qovery to make Kubernetes accessible to every engineering team. He writes about platform strategy, developer experience, and the future of cloud infrastructure.

The New Agentic AI Job Roles IT Leaders Need

CIOs are under pressure from every direction. Budgets remain tight, geopolitical uncertainty is forcing organizations to rethink resilience, and workforce expectations continue to evolve. At the same time, AI is accelerating a broader shift across enterprise IT – changing not only how organizations operate, but also the skills and roles they will increasingly depend on. The question is not whether AI will reshape IT teams, but how quickly organizations can adapt to these new ways of working.

AI Won't Replace You. Someone Using It Will.

AI isn’t about replacing engineers. It’s about leverage. The teams that win will be the ones that: Triage incidents faster Correlate signals automatically Reduce manual investigation Automate repetitive operational work In observability, that means asking: AI won’t eliminate expertise, it amplifies it. The real risk isn’t AI taking your job. It’s competitors using AI to operate at a speed and efficiency you can’t match.