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Monero (XMR) CPU miner packaged in a lightweight Docker image that you can easily deploy to a Kubernetes cluster.

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XMRig miner image for Monero

Monero (XMR) CPU miner packaged in a lightweight Docker image that you can easily deploy to a Kubernetes cluster.

What is XMRig?

XMRig is a high performance, open source, cross platform RandomX, KawPow, CryptoNight and AstroBWT unified CPU/GPU miner and RandomX benchmark. It supports Monero, among other cryptocurrencies.

This Docker image was built with the latest XMRig version from source on Alpine Linux and it is only 16 MB in size. It's rootless, immutable, and supports your own donate level and timezone. You can easily deploy it as a standalone Docker container, or to a Kubernetes cluster in minutes.

Quick reference

  • Maintained by: Roberto Meléndez
  • Supported architectures: amd64, arm32v7, arm64v8
  • Supported tags: latest, 6.17.0, 6.16.4, 6.16.3, 6.16.2

How to use this image

Step 1: Clone the GitHub repo:

$ git clone https://github.com/rcmelendez/xmrig-docker.git

Step 2: Edit the config.json file. Provide your pool, wallet address, and coin to mine. If you are feeling generous, set the donate-level greater than 0:

"coin": "XMR",
"url": "gulf.moneroocean.stream:10128",
"user": "43BFSy88EBK7pstEvSkxp2BpnDYj2xP4PG4sf1MSywj2EDdF1WYyTysRGZFAh639zyKyZYzshQwQ4CELq9d76wob3zwfGuc",
"donate-level": 0,

For all the available options, visit XMRig Config File documentation.

Step 3: Deploy the image as a standalone Docker container or to a Kubernetes cluster.

Docker

$ docker run -dit --rm \
    --volume "$(pwd)"/config.json:/xmrig/etc/config.json:ro \
    --volume "$(pwd)"/log:/xmrig/log \
    --name xmrig rcmelendez/xmrig \
    xmrig --config=/xmrig/etc/config.json

If you prefer Docker Compose, edit the docker-compose.yml manifest as needed and run:

$ docker-compose up -d

Kubernetes

Step 1: Create a namespace for our XMRig application (optional but recommended):

$ kubectl create ns xmrig

Step 2: Create a configmap in the new namespace xmrig from the config.json file:

$ kubectl create configmap xmrig-config --from-file config.json -n xmrig

Step 3: Edit the xmrig.yaml file. Things you may want to modify include:

  • replicas: number of desired pods to be running.
  • image:tag: to view all available versions, go to the Tags tab of the Docker Hub repo.
  • resources: set appropriate values for cpu and memory requests/limits.
  • affinity: the manifest will schedule only one pod per node, if that's not the desired behavior, remove the affinity block.

Step 4: Once you are satisfied with the above manifest, create a deployment:

$ kubectl -f apply xmrig.yaml

Logging

This Docker image sends the container logs to the stdout. To view the logs, run:

$ docker logs xmrig

For Kubernetes run:

$ kubectl logs -n xmrig <pod-name> 

Persistent logging

Containers are stateless by nature, so their logs will be lost when they shut down. If you want the logs to persist, enable XMRig syslog output in the config.json file:

"syslog": true,
"log-file": "/xmrig/log/xmrig.log",

And give full permissions to the directory on the host machine:

$ chmod 777 "$(pwd)"/log

Then use either Docker bind mounts or Kubernetes Persistent Volumes to keep the log file on the host machine. The docker run command above and the docker-compose.yml file already includes this mapping.

Disclaimer

None of this can be considered financial advice. Do your own research and mine the cryptocurrencies that you prefer. I'm a tech enthusiast with foundational knowledge of Docker and Kubernetes. This project was inspired by my curiosity to start learning about the cryptocurrency world and by the drive to keep improving my tech skills. Will I or you become rich by using XMRig? I don't think so. Will be it fun? Yeah. Will you learn? A lot!

License

The Docker image is licensed under the terms of the MIT License. XMRig is licensed under the GNU General Public License v3.0. See its LICENSE file for details.

Contact

Find me as rcmelendez on LinkedIn, Medium, and GitHub.

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Monero (XMR) CPU miner packaged in a lightweight Docker image that you can easily deploy to a Kubernetes cluster.

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