How do I monitor hundreds of XMRig workers at once?

You can monitor hundreds of XMRig workers from one dashboard by collecting each worker’s status through XMRig’s HTTP API—a local service that lets monitoring software read mining statistics. Combine that with your pool’s worker list, then set alerts so you only investigate machines that need attention.

Give every worker a clear identity

At this scale, naming matters as much as the dashboard. Give each XMRig instance a unique name, such as site2-rack4-pc018, and keep a simple inventory with its location, owner, hardware, and expected mining speed.

XMRig has two identifiers worth separating:

• API worker ID: Identifies the instance in its monitoring data.
• Pool rig ID: Identifies the worker to a mining pool, if that pool supports it. Some pools use a different naming method.

Use matching names where possible, but check your pool’s instructions. Otherwise, you might see a slow worker in one dashboard and struggle to find the same machine in another.

Collect statistics into one dashboard

Enable XMRig’s built-in HTTP API on each worker. Set a listening address, port, access token, and restricted mode. Restricted mode limits what API clients can do; it does not replace network security.

A common setup is:

• XMRig API: Supplies each worker’s mining statistics.
• An XMRig-compatible exporter: Translates those statistics into a monitoring format.
• Prometheus: Collects and stores measurements over time.
• Grafana: Displays fleet summaries, trends, and individual workers.

The exporter is usually a separate, third-party tool. Check that it supports your XMRig version, handles authentication, and is actively maintained. Test the whole setup on a few workers before deploying it everywhere.

Polling every 30–60 seconds is a reasonable starting point. Spread requests out rather than contacting hundreds of workers at exactly the same instant.

Watch performance, not just “online”

Build a fleet overview showing total mining speed, reachable workers, missing workers, and active alerts. Then let yourself open a worker’s history for details.

Track these measurements:

• Hashrate: Mining calculations per second. Compare each worker with its own normal performance, not just a fleet average.
• Accepted and rejected shares: Shares are submissions that prove mining work to your pool. Rising rejection rates can signal connection or configuration problems.
• Pool connection and uptime: Helps you spot disconnects and repeated restarts.
• CPU temperature, memory, and power: Collect these with a separate machine-monitoring agent where needed; do not assume XMRig provides every hardware measurement.

Keep the pool’s dashboard as a second check. Local hashrate measures calculations, while pool hashrate is estimated from submitted shares and can fluctuate. Compare longer periods rather than expecting instant agreement.

Secure access and make alerts useful

Never expose hundreds of mining APIs directly to the public internet. Use a private network or an encrypted VPN, firewall access to your monitoring server, and protect API tokens. If your collector runs on the same machine, bind the API to localhost.

Alert on sustained problems: several missed polls, a prolonged hashrate drop, or persistently high rejection rates. Suppress alerts during planned maintenance and group related failures. One network outage should not produce hundreds of separate notifications.

Only deploy monitoring and mining software on machines you own or are explicitly authorized to manage.

The bottom line

Use secure API collection for worker-level detail, pool statistics for an independent check, and alerts based on each machine’s normal behavior. Your goal is not to watch hundreds of screens—it is to quickly find the few workers that need your attention.