Operations | Monitoring | ITSM | DevOps | Cloud

Can you actually trust an AI agent? In this pre-recorded episode of The Context Window, Nicole van der Hoeven sits down with Yas Ekinci, an engineer on the Grafana AI team, to talk about evals — how Grafana measures the quality and reliability of the AI it ships. They get into the difference between online and offline evals, why reviewing AI-generated code has become the real bottleneck, the "final answer problem" of plausible-but-wrong outputs, and o11y-bench, Grafana's open benchmark for observability agents. Along the way.

Many organisations have built their monitoring on SCOM and SquaredUp Dashboard Server, and built it well. But the modern IT estate has moved on. Cloud services, SaaS platforms and new toolsets are now part of the picture, and the monitoring strategy needs to keep pace. The challenge isn't starting over, it's extending what you already have without throwing away the investment you've made.

Learn the two main ways to get data into Grafana Cloud. In this video, we break down how Grafana Cloud connects to over 150 external data sources (like Salesforce, Postgres, and CloudWatch) where your data stays in place, and how you can send raw telemetry into Grafana’s fully managed databases for logs, metrics, traces, and profiles.

Grafana 13.1 cuts down on GitOps pain by making Git Sync stronger — import dashboards to Git with a click, see your repo READMEs inside Grafana, and sign every commit for security-strict teams.

HaloPSA is the operational backbone for many MSPs. But when your reporting is limited to what the built-in tools can surface, you end up exporting data, building manual reports, or switching between your PSA, RMM, and other tools just to answer basic questions. In this webinar, our DevRel Engineer, Dan Watts, shows you how to build live SquaredUp dashboards directly on top of HaloPSA, pulling in data from your RMM and other tools alongside it. The result is a single, real-time view of the metrics that matter most to your team and your clients.

Trust is everything when AI gets personal. Golden Grot Award winner and NeoSapien co-founder and CEO Dhananjay Yadav shares how his team uses Grafana Assistant to ensure the privacy-first AI wearable delivers a seamless, reliable experience without compromising its mission. Because when AI moves closer to our everyday lives, teams need to know what’s happening — and users need to trust that it’s working as intended.

The Grafana AI team (Engineers Ivana Huckova and Sonia Aguilar) share what's new in AI Observability this week: a new way to instrument and visualize agent workflows, plus a neat trick for jumping straight from a metric spike to the exact conversation that caused it using Prometheus exemplars. In this episode: 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. :)