Operations | Monitoring | ITSM | DevOps | Cloud

How to use Grafana Assistant with the AWS CloudWatch data source

Grafana Assistant meets AWS CloudWatch! In this video, Staff Software Engineer Ivana Huckova shows how to use Grafana Assistant, the AI agent built into Grafana Cloud, with the Amazon CloudWatch data source. Watch her query CloudWatch metrics and logs in plain language, build dashboards in seconds, and troubleshoot AWS resources — no query syntax required.

Grafana Labs named a Leader again in the 2026 Gartner Magic Quadrant for Observability Platforms

We’re delighted to share that Grafana Labs has been named a Leader in the Gartner Magic Quadrant for Observability Platforms for the third consecutive year. Notably, we’re also positioned furthest in “Completeness of Vision” for the second year in a row.

Stop switching tools to find answers: Grafana Assistant now works across 30+ data sources

When you're the on-call engineer and something breaks, you can quickly find yourself deep in a series of tools you don't regularly use—switching tabs, copying query results, and manually stitching together a picture of what's happening and why. People are increasingly turning to AI to get around this, but the results can be a mixed bag.

Building an end-to-end reliability testing strategy with Grafana Cloud

Modern applications can fail in many different ways, from performance regressions and frontend errors to systems that break under heavy load. Because no single testing or monitoring approach can catch every type of failure, effective reliability testing requires multiple layers that validate your application before, during, and after their release.

The AI Software Engineering Revolution, feat. Anthropic | Big Tent S3E9

In this episode of Grafana's Big Tent, hosts Mat Ryer (Senior Director of AI, Grafana Labs) and Tom Wilkie (CTO, Grafana Labs) sit down with Eric Burns, Field Executive Architect at Anthropic, to talk about building trust between tech and business execs, why Anthropic bet early on running across every major cloud, and what it was like watching large language models go from "interesting" to "obviously the future" in real time.

Business intelligence plugins for Grafana: A support update

In January, we announced that Grafana Labs had assumed maintenance of the business intelligence (BI) plugins created by Volkov Labs, and committed to a six-month maintenance period. Today, we’re sharing an update: we're extending our maintenance commitment through the end of 2026. As announced earlier this year, that commitment includes maintaining compatibility with recent Grafana releases while handling bug fixes, security updates, and community contributions on a best-effort basis.

How to scale access control in Grafana Cloud

One of the primary reasons organizations adopt Grafana Cloud is to create a single pane of glass across the data they collect from self-hosted systems, cloud providers, and third-party platforms. Bringing those signals together enables richer correlations, reduces tool sprawl, and makes it easier for teams to understand what's happening across their environment. But as observability grows and becomes more centralized, access management becomes more important.

Full-stack observability in Grafana Cloud: How to investigate issues across services and infrastructure

Many times, the hardest part of troubleshooting isn’t fixing the actual problem. It’s figuring out where to start. As engineers, it’s easy to lose count of how many times we’ve opened logs, then 10 metrics tabs, and another 10 tabs with trace queries, only to end up back in the logs trying to find a root cause.

Overview of AI Evaluation (The Context Window #05)

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.