How to integrate OpenClaw with monitoring tools (Prometheus/Grafana)?

To integrate OpenClaw with monitoring tools like Prometheus and Grafana, you need to expose OpenClaw's metrics in a format that Prometheus can scrape, and then visualize those metrics using Grafana. Here’s a step-by-step guide:

1. Expose Metrics from OpenClaw

OpenClaw itself may not natively expose Prometheus-compatible metrics, so you might need to instrument it or use an intermediary service. If OpenClaw is a custom or third-party application, ensure it exposes metrics via an HTTP endpoint in the Prometheus exposition format (text-based, usually on /metrics).

If OpenClaw does not expose metrics directly:

Instrument the application: Use a Prometheus client library (e.g., for Python, Go, etc.) to expose key metrics like request counts, latency, or system resource usage.

Example (Python):

from prometheus_client import start_http_server, Gauge
import time

# Define a metric
claw_status = Gauge('openclaw_status', 'Status of OpenClaw operations')

if __name__ == '__main__':
    start_http_server(8000)  # Expose metrics on port 8000
    while True:
        # Update metric (example: simulate status)
        claw_status.set(1)  # 1 for running, 0 for error
        time.sleep(10)

This script exposes a metric openclaw_status on http://localhost:8000/metrics.

Alternative: If OpenClaw runs as a containerized service, ensure the container exposes metrics on a specific port.

2. Configure Prometheus to Scrape Metrics

Prometheus needs to be configured to scrape the metrics endpoint exposed by OpenClaw.

Edit Prometheus Configuration (prometheus.yml):

scrape_configs:
  - job_name: 'openclaw'
    static_configs:
      - targets: ['<openclaw-host>:8000']  # Replace with OpenClaw's host and port

Replace <openclaw-host> with the IP or hostname where OpenClaw is running, and 8000 with the port exposing the metrics.

Restart Prometheus to apply the new configuration.

3. Visualize Metrics in Grafana

Once Prometheus is scraping the metrics, you can visualize them in Grafana.

Add Prometheus as a Data Source in Grafana:
1. Log in to your Grafana instance.
2. Go to Configuration > Data Sources.
3. Click Add data source and select Prometheus.
4. Enter the URL of your Prometheus server (e.g., http://<prometheus-host>:9090).
5. Click Save & Test to confirm the connection.
Create Dashboards:
1. Go to Dashboards > New Dashboard.
2. Click Add a new panel.
3. In the query editor, write PromQL queries to fetch metrics (e.g., openclaw_status).
4. Customize the visualization (e.g., graphs, gauges) and save the dashboard.
Example Query: If you exposed openclaw_status, you can use the query:
```
openclaw_status
```
to display the current status of OpenClaw.

4. Monitor System-Level Metrics (Optional)

If you want to monitor system-level metrics (e.g., CPU, memory, disk usage) alongside OpenClaw, ensure the host running OpenClaw has a system metrics exporter like Node Exporter (for Linux). Configure Prometheus to scrape Node Exporter metrics and include them in your Grafana dashboards.

Recommended Tencent Cloud Products

For monitoring and observability, Tencent Cloud offers Cloud Monitor (CM) and Tencent Cloud Observability Platform (TCOP), which provide comprehensive metrics collection, alerting, and visualization capabilities. These services can integrate with your applications and infrastructure to provide real-time insights. Visit https://www.tencentcloud.com/ to explore Cloud Monitor and other monitoring solutions tailored for your needs.