Building a Real-Time Monitoring Dashboard for OpenClaw
Developing a real-time monitoring dashboard for OpenClaw presented some unique challenges. The goal was to create a solution that could run efficiently on a $10 VPS, require no external dependencies, and update in real-time without traditional polling methods.
System Architecture
Frontend Technologies:
- Vue 3, Element Plus, and Apache ECharts: These technologies were chosen for their ability to create reactive components that handle real-time data effectively. The charts maintain smooth performance even on lower-end devices, and the default dark theme provides a modern, visually appealing interface.
Backend Framework:
- Express.js and better-sqlite3: With SQLite, zero-configuration persistence was achieved, while Express.js facilitated the communication between the server and the client. By using Server-Sent Events (SSE), updates are actively pushed to the browser, and a REST API supports historical data queries.
Communication Protocol:
- Server-Sent Events (SSE): This approach offers a one-way communication channel from the server to the browser, simplifying deployment compared to WebSockets. SSE efficiently works over HTTP/2 and includes automatic reconnection capabilities, gracefully managing scenarios where SSE might be blocked.
Insights and Learnings
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SQLite's Capabilities: Despite initial concerns about concurrent write operations, SQLite proved suitable for single-server monitoring. The database's file locking mechanism effectively manages the occasional writes from agents.
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SSE's Simplicity: While WebSockets are commonly used, SSE turned out to be a more straightforward, reliable choice for this application. Its simplicity and automatic reconnection make it ideal for monitoring dashboards.
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Token Calculation: OpenClaw does not provide precise token counts in Gateway events. Thus, token calculations were approximated based on message content lengths, sufficient for trend analysis but not precise enough for billing purposes.
The Final Product
The resulting dashboard is efficient, starting within 30 seconds and utilizing approximately 50MB of RAM, making it a seamless fit alongside any OpenClaw deployment. For those operating OpenClaw and seeking enhanced operational visibility, this dashboard offers a quick installation process, taking roughly five minutes to set up.
Explore the project on GitHub: OpenClaw Monitor