Operations | Monitoring | ITSM | DevOps | Cloud

By Bill Balnave, VP of Customer Success at Mezmo The core promise of modern observability is simple: cut Mean Time To Resolution (MTTR). Yet, despite a boom in tooling and investment over the last four years, the data tells a sobering story: our industry is actually getting worse at finding and resolving issues. Dashboards, once our trusted guide, have become the starting point for a chaotic "dashboard hunt" that rarely leads to the definitive root cause.

This year’s Gartner IT Infrastructure, Operations and Cloud Strategies Conference made one thing abundantly clear: the industry is moving beyond reactive monitoring and isolated dashboards toward autonomous, outcome-driven IT operations. While AI and agentic automation dominated keynotes and vendor messaging, conversations on the show floor reflected a more grounded reality.

The cloud landscape is no longer just about "getting to the cloud"—it is about mastering the complexity once you are there. For organizations using VMware Cloud Foundation (VCF), the stakes have never been higher. As infrastructure converges, the margin for error shrinks, and the need for precision grows. To understand how the industry is navigating these changes, we dive into the VMUG Cloud Operations and VCF User Experience Report 2026.

Get alerted and fix issues with full context. Qovery Observe notifies you when something goes wrong and guides you straight to the metrics and signals that explain why, all in one place.

I am thrilled to share that Observo AI has been named InfoWorld’s 2025 Technology of the Year Award winner in the Observability category. This honor recognizes the products that are defining the future of enterprise technology, those pushing AI from theory into meaningful, practical impact. “Artificial intelligence is reshaping products across the technology landscape, often in surprising ways,” said Executive Editor Doug Dineley, InfoWorld.

If data centres were a country, they’d rank fifth in electricity consumption by 2026. Over the past few years, the resulting carbon footprint of the technology industry has sparked the fast-growing green software movement, led by the Green Software Foundation. How can we continue to innovate software in a way that also minimises its impact on the environment? This has been a fascinating problem I’ve been exploring for a few years now.

If there was ever a year for AI observability, it was 2025. Vendors released assistants to cover a variety of use cases. Coralogix released the first agent (distinct from assistants!), Olly, an autonomous, multi-agent observability platform. The direction of travel is clear, but many vendors and users are about to run into some significant problems with their data layer.