Operations | Monitoring | ITSM | DevOps | Cloud

You're investigating checkout errors when someone asks who's coordinating the incident. Support needs an update, and another responder is looking for the runbook. You stop what you're doing to get everyone pointed in the same direction. They're all reasonable requests, but each one takes your attention away from understanding the problem. Yes, your team has a process for handling incidents, but carrying it out is another job for someone who's already busy.

Most teams have telemetry from across their stack, but connecting those signals to understand what's happening and how it affects users isn't always easy. Critical context about service dependencies, ownership, and past incidents often lives across tools, runbooks, and conversations between team members. That’s why, today at ObservabilityCON 2026, we’re announcing new capabilities that advance full-stack observability across Grafana Cloud.

In the AI era, where telemetry is generated by every model call, tool invocation, and agent step, organizations need more help than ever when it comes to navigating the economics of observability. For a lot of teams, the default response is a "data diet" of shorter retention, which leaves services or environments out of collection, or basic sampling, which is more guesswork than strategy. Either way, you end up cutting to control the bill, and you risk losing the very data you need during an incident.

Teams often spend as much time preparing information as discussing it: gathering charts, checking business reports, and finding the GitHub activity that explains a change. Every follow-up question can lead to yet another round of work. That's why, as part of ObservabilityCON 2026, we're excited to introduce Grafana Pages, a new feature in Grafana Cloud that gives you a canvas to describe what you need and build a live app in minutes, based on your real data, context, and interactions.

You've just finished a deployment, and though your service is up, you start to notice some requests are getting slower. To address the lag, someone—or, more likely, some group of people on your team—needs to watch the dashboards, decide whether the change matters, investigate what happened, and turn the findings into a fix. At each step you're gathering context—and often explaining that context again to the next person or tool.

Today at ObservabilityCON 2026 in San Francisco, we unveiled a range of new Grafana Cloud capabilities designed to reshape cloud economics, bring richer context and deeper visibility across your systems and end-user experiences, and help teams move toward autonomous operations. Check out the keynote to learn more about the latest updates to the open agentic observability cloud, and read on for a quick recap of all the news from ObservabilityCON 2026.

Earlier this year, we launched the Grafana Marketplace, a platform that gives independent software vendors, systems integrators, and developers in the Grafana community a new way to sell and distribute plugins built for Grafana. The Marketplace builds on our existing plugin catalog by enabling third-party partners and developers to earn revenue from their plugins and invest further in their development.

When you ask Grafana Assistant to build a dashboard or investigate an alert, you're doing so because there's work to be done. To do that work effectively, you need the right data, changes you can inspect, and conclusions supported by evidence. You also want Assistant to avoid mistakes and act quickly. Over the past six months, our team has worked hard to improve what makes those outcomes possible.