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67 lines
2.3 KiB
Markdown
67 lines
2.3 KiB
Markdown
# docker-monero-node
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Simple way to run a Monero node with some basic monitoring tools packaged in.
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Leverages [Prometheus](https://prometheus.io/docs/introduction/overview/), [Grafana](https://grafana.com/), and [monero-exporter](https://github.com/cirocosta/monero-exporter) on top of `monerod`.
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## Setup
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The only requirements are [Docker](https://docs.docker.com/get-docker/) and [Docker Compose](https://docs.docker.com/compose/install/). Ensure those are installed on your system. There's an optional `Makefile` provided if you'd like to use that, just ensure `make` is installed.
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```
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# Clone and enter the repository
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git clone https://github.com/lalanza808/docker-monero-node
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cd docker-monero-node
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# OPTIONAL: Setup Grafana password, blockchain storage location, or port and container image tag overrides
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cp env-example .env
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vim .env
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# Build containers
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docker-compose build # make build
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```
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The following ports will be bound for `monerod` by default, but you can override in `.env`:
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- 18080 # p2p
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- 18081 # restricted rpc
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- 18082 # zmq
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- 18083 # unrestricted rpc
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The following ports will be bound for other services:
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- 9090 # prometheus web ui
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- 3000 # grafana web ui
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- 9000 # exporter web api (/metrics)
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You will want to open/allow ports 18080 and 18081 in your firewall for usage as a remote/public node (or whichever p2p and restricted ports you picked).
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Also, you may want to setup a reverse proxy to Grafana if you would like to expose the visualizations for the world to see. Be sure to lock down the administrative settings or leave login disabled!
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## Usage
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It's fairly simple, use `docker-compose` to bring the containers up and down and look at logs.
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```
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# Run containers
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docker-compose up -d # make up
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# Check all logs
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docker-compose logs -f
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# Check monerod logs
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docker-compose logs -f monerod # make logs
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```
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Navigate to http://localhost:3000 and log into Grafana. Find the `Node Stats` dashboard to get those sweet, sweet graphs.
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If you've installed this on another system you will want to use [SSH tunnels](https://www.ssh.com/ssh/tunneling/example) (local forwarding) to reach Grafana (if not exposing via reverse proxy):
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```
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ssh <VPS OR SERVER IP> -L 3000:localhost:3000
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```
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Then navigate to http://localhost:3000. Here is what the graph looks like:
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