Andrii Bidochko

• Updated: March 22, 2026
• 2 min read

Building a Golden Signals Dashboard for OpenClaw with Grafana

Building a Golden Signals Dashboard for OpenClaw with Grafana

Assuming you have already completed the Prometheus & Grafana setup guide, this article walks you through creating a Grafana dashboard that monitors the four golden signals—Latency, Traffic, Errors, and Saturation—for OpenClaw agents.

Why Golden Signals Matter in the AI‑Agent Era

With AI agents becoming integral to modern applications, reliable observability is crucial. Monitoring latency, traffic, errors, and saturation helps you keep your AI‑driven services performant and trustworthy.

Step‑by‑Step Walkthrough

1. Create a New Dashboard

   In Grafana, click + → Dashboard → New Dashboard. Name it OpenClaw Golden Signals.

2. Add a Panel for Latency

   Panel type: Time series. Query (Prometheus):

   histogram_quantile(0.95, sum(rate(openclaw_agent_request_duration_seconds_bucket[5m])) by (le, job))

   Configure axes, set unit to seconds, and add a description.

   Screenshot placeholder: ![Latency Panel]()

3. Add a Panel for Traffic

   Query:

   sum(rate(openclaw_agent_requests_total[5m])) by (job)

   Unit: requests per second.

   Screenshot placeholder: ![Traffic Panel]()

4. Add a Panel for Errors

   Query:

   sum(rate(openclaw_agent_requests_total{status!="200"}[5m])) by (status, job)

   Use a bar gauge to highlight error rates.

   Screenshot placeholder: ![Errors Panel]()

5. Add a Panel for Saturation

   Query (CPU saturation example):

   100 - (avg by (instance) (rate(node_cpu_seconds_total{mode="idle"}[5m])) * 100)

   Adjust the query to match your OpenClaw resource metrics.

   Screenshot placeholder: ![Saturation Panel]()

6. Arrange Panels & Add Variables

   Use a $job variable to filter dashboards by OpenClaw agent.

   Set dashboard time range to Last 24 hours for quick insights.

Best‑Practice Tips

• Set alert thresholds on latency (> 2s) and error rate (> 1%).
• Use consistent naming for Prometheus metrics across agents.
• Leverage Grafana’s Dashboard Links to jump to related AI‑agent documentation.
• Regularly review saturation metrics to avoid resource contention as your AI workloads scale.

Conclusion

With this Golden Signals dashboard, you now have real‑time visibility into the health of your OpenClaw agents, empowering you to maintain high‑quality AI services. Stay tuned for more observability guides!

For the full OpenClaw deployment guide, visit Host OpenClaw on UBOS.

Andrii Bidochko

CTO UBOS

Andrii Bidochko is an AI entrepreneur and researcher focused on AI agents, reinforcement learning, and autonomous systems. He writes about the technologies shaping the future of machine intelligence, from frontier models and agent architectures to real-world AI applications.