Can Jarvis Read a Grafana or Datadog Monitoring Dashboard?

Yes. Jarvis (getjarvis.eu) can read an on-screen monitoring dashboard from Grafana, Datadog, Prometheus, or similar and explain what it shows. Press Cmd+/ on macOS or Ctrl+/ on Windows, then ask "is anything wrong on this dashboard?" Jarvis captures the visible panels and uses a vision model (frontier models from Anthropic, OpenAI, or Google) to read latency graphs, error-rate panels, CPU and memory gauges, and any red threshold breaches. It can spot a spike, flag a metric crossing a line, and explain which signal looks unhealthy. Because it reads rendered pixels, it works on any observability tool without an API integration. Jarvis is a screen-aware desktop assistant; free to start, then $16/month. Your dashboards and screenshots are GDPR-aligned, and never used to train any model.

During an incident you don't want to parse a wall of panels alone. Jarvis reads the whole visible dashboard and prioritizes: it can tell you the p99 latency panel is spiking while throughput drops, or that one service's error rate just crossed its alert threshold, and which panels still look healthy. It reads the time range and legend so it knows whether you're looking at the last 15 minutes or 24 hours. That fast, plain-language triage helps you focus on the failing signal instead of scanning twenty graphs in a stressful moment.

Once Jarvis identifies the problem signal, the floating bar can help you respond. Ask it to draft a concise incident note for Slack describing what the dashboard shows, open a Linear or GitHub issue capturing the symptom, or summarize the timeline for a postmortem. Because the same assistant read the graphs and can write the update, the description stays accurate to what was actually on screen. You can also ask follow-up questions, like "which metric started moving first?", to reason about cause and effect from the visible panels.

Screen-aware AI