Operations | Monitoring | ITSM | DevOps | Cloud

Automate all the things: How to use Grafana Cloud's AI to relieve the operational burden

Continuous integration and continuous delivery (CI/CD) have dramatically changed how we ship software. But once code reaches production, the operational work is still surprisingly manual. Engineers continually monitor systems, investigate unexpected behavior, and decide which issues require action. And that is where the next opportunity for AI-driven automation lies. For example, in today's CI/CD workflows, someone refreshes the pipeline page to see whether the queue has moved.

Our 3-month AI roadmap - the future of smart dashboards

AI is set to transform our technology landscape. For many of us working in software, it already has — developers are now writing more code, building more features, and deploying more applications, faster. For the teams supporting IT and software services that means more applications to support, across a greater breadth of technologies, and with more complexity (that is probably less well understood by the developers who created it). Your operational tooling needs to keep pace.

Scheduled Sharing in SquaredUp

Getting your dashboards in the right hands is vital for many teams. This typically means that someone has to remember to check them, and that rarely happens consistently. Stakeholders miss weekly updates, managers ask for reports that already exist, and your carefully-built dashboards sit unread while people wait for someone to send them a screenshot. Scheduled sharing is the frictionless feature that solves this issue.

Meet GCX: Give Your AI Coding Agent Production Context

Your AI agents are only as good as the context it has. Without access to what's happening in production, it can only make educated guesses. Chapters: In this video, you'll meet GCX. The bridge between AI coding agents like Claude Code, Codex, Cursor, and your Grafana observability stack. You will learn how GCX securely gives AI agents access to metrics, logs, traces, dashboards, and other production telemetry so they can investigate issues, answer questions, and help you debug with real operational context.

Meet Assistant Workspace: Full-page experience for Grafana Assistant

Introducing Assistant Workspace, a full-page surface for Grafana Assistant, built for the conversations that outgrow a sidebar. Dig into longer investigations, compare data side by side, and keep your train of thought in one place — then turn what you find into a dashboard without starting over. When a quick question becomes a real investigation, open it in Workspace and keep going. In this video, Ed Poole gives us a demo of how to use Workspace, including the use of canvases to see more information than before.

Smarter onboarding and planning with Grafana Assistant: How to ensure observability is baked in from the start

It's Monday afternoon and that feature you've been working on is mostly done. There's just one item still sitting untouched at the bottom of the ticket: "Add monitoring." You know you should. You also know the sprint ends tomorrow, nobody on the team is an observability expert, and figuring out what to measure—let alone how to write the PromQL for it—feels like a project all on its own. So it gets the same treatment it always does: "We'll add it when it breaks.".

Explore what's next in agentic operations: Introducing AI Week

Observability has traditionally been tacked on after your code hits production, but with agentic operations on the rise, that's no longer sustainable. Agents have dramatically increased the rate of change as they write more code, ship more changes, and operate more systems—all at a speed that compounds scale and complexity.