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Grafana Cloud Demo in Under 5 minutes | Full Stack Observability and more

Overview & demo of how Cloud provides an end to end Observability Platform that empowers users who have adopted open standards like or to improve their systems reliability using & a shift left approach with performance testing while optimizing their observability costs.

Grafana Campfire - Release Pipelines - (Grafana Community Call - March 2026)

In this Campfire Community call, we'll be exploring Grafana's release pipelines - covering both our on-prem (public and private) artifact delivery and our Rolling Release Channels for building Grafana Cloud We'll walk through the fundamentals of how our pipelines work, including how ICs can patch branches and manage their own core Grafana releases, and where we're headed in the future. Plus much more!

What Engineers Want from AI in Observability... According to the 2026 Observability Survey Report

The results show strong interest in AI for forecasting, root cause analysis, onboarding, and generating dashboards, alerts, and queries. But when it comes to autonomous action, practitioners are more cautious — and 95% say AI needs to show its work to earn trust.

Engineers Want AI in Observability - With One Catch: 4th Annual Observability Survey by Grafana Labs

Actually useful AI is welcome in observability. AI for the sake of AI is not. In this overview of Grafana Labs’ 4th annual Observability Survey, Marc Chipouras shares what 1,300+ respondents from 76 countries told us about the current state of observability — and what comes next. This year’s survey explores four major themes: The results show strong interest in AI for forecasting, root cause analysis, onboarding, and generating dashboards, alerts, and queries. But when it comes to autonomous action, practitioners are more cautious — and 95% say AI needs to show its work to earn trust.

Saved queries now support template variables | Grafana Cloud

In this video, Collin Fingar, Software Engineer at Grafana Labs, demonstrates how template variables can be used in saved queries, a feature that enables users to reuse queries they or others in their org have saved. You'll see how a query that contains variables can be reused, and how the variables can be replaced at the point of reuse.

Behind the magic of auto-instrumentation (Grafana OpenTelemetry Community Call)

You add the OpenTelemetry Java agent, restart your app - and like magic, observability appears. But is it really magic? What’s actually enabled by default? What telemetry should you expect to see? What’s missing? And what might you want to tweak, tune, or even turn off?