stellar / stellar-core-prometheus-exporter

Stellar Core Prometheus Exporter

Overview

The Stellar Core Prometheus Exporter reads metrics exposed by the stellar-core daemon and exposes them in prometheus format.

Configuration

Optional config can be provided using CLI arguments or environment variables.

Supported configuration options:

• --stellar-core-address - address of monitored stellar-core. Defaults to http://127.0.0.1:11626. Can also be set using STELLAR_CORE_ADDRESS environment variable
• --port - listening port. Defaults to 9473. Can also be set using PORT environment variable

Grafana dashboard

Grafana can be used to visualise data. Example dashboards are shipped with this code. Latest versions is also available on grafana.com

Please refer to the documentation for details.

Docker image

Included Dockerfile uses apt package to deploy the exporter. Example build command:

docker build -t stellar-core-prometheus-exporter:latest .

Installing from pypi

To download/test package in pypi you can use venv:

python3 -m venv venv
. venv/bin/activate

Install:

python3 -m pip install stellar_core_prometheus_exporter

Run:

./venv/bin/stellar-core-prometheus-exporter

Releasing new version

• ensure you bumped version number in setup.py. PyPi does not allow version reuse
• build new package:

python3 setup.py sdist bdist_wheel

• push to testpypi:

python3 -m twine upload --repository-url https://test.pypi.org/legacy/ dist/*

• test by installing the package (see above). If all good release:

python3 -m twine upload dist/*

stellar-core-prometheus-exporter's Issues

Ubuntu 16.04 EOL

Ubuntu 16.04 is no longer officially supported. The Dockerfile still references it.

stellar-core-prometheus-exporter/Dockerfile

Line 1 in f3eb755

FROM ubuntu:16.04

Upgrading could be as easy as bumping the base image to ubuntu:20.04.