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.
01
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.
02
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.
03
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.
04
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.
It can work from authenticated Grafana pages with the logs, deploys, runbooks, and tickets you provide.
Keep alert and configuration changes under the responsible operator’s review.
Yes. A Grafana-focused investigation or reliability checklist can be saved as a skill and scheduled before the team’s regular review.
Use the Grafana workspace needed for the task, provide only the supporting context that helps the review, and keep consequential decisions with the person responsible for the outcome.