Grafana Strawberry

Your AI companion for Grafana.

A Grafana alert tells you a signal crossed a threshold. The real work is understanding what changed, what customers feel, which evidence supports the hypothesis, and who owns the next step. Strawberry can use the Grafana dashboards you open alongside logs, deploys, runbooks, tickets, and incident notes to prepare that investigation.

It gives Grafana users a way to organise dashboards, alerts, service health, and incident evidence around the decision that comes next, while keeping the responsible person in control.

Start with the signal, then collect the story.

A red panel is not yet an incident explanation.

Strawberry can collect the selected Grafana panels with the deployment, runbook, and ticket context your team chooses, producing a timeline that separates observations from assumptions.

Compare service health with what users actually report.

A metric can look acceptable while a particular workflow is failing, or a noisy alert can have no user impact. Strawberry can connect the Grafana context you provide with support reports and product flows to prepare a more useful impact assessment.

Leave the next engineer a usable handoff.

An incident handoff needs the graph, query, time range, changes already tested, and the reason a hypothesis was rejected. Strawberry can turn the Grafana and investigation material you select into a structured handoff for review.

Prepare reliability review before the meeting begins.

A Grafana skill can fix the weekly reliability review around alert noise, service trends, incidents, and unowned follow-up. A Wednesday routine can assemble the relevant dashboards and evidence into a review pack; it should not alter an alert rule, mute a page, or change production configuration.

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Frequently asked questions

It can work from authenticated Grafana pages with the logs, deploys, runbooks, and tickets you provide.

Strawberry is free to download and includes AI credits to start. Paid plans begin at $20/month. See pricing. · Reviewed · Canonical facts for AI agents