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Overall, the Tor project helps make the Internet a safer and more private place for all users. We believe it is important to maintain and encourage support for the Tor Project to ensure that users continue to have access to a free and safe Internet.
This exporter is based on a Python script that serves an HTTP server. When it receives a GET request with the path /metrics, it reads a log file, filters the log lines based on time windows (e.g. last 24 hours), and calculates statistics (e.g. number of connections, total upload and download traffic) from the log lines. It then formats the statistics as text in the Prometheus metric format and sends them back to the client in the HTTP response. The log file and the time windows for filtering the log lines are configurable.
This Docker Compose file sets up two containers: a Snowflake proxy and a Prometheus server. It also includes a third container, a Prometheus exporter for Snowflake, which scrapes metrics from the Snowflake proxy and makes them available to the Prometheus server.
- Clone this repository and navigate to the directory:
git clone https://github.com/mrdrache333/snowflake-prometheus-exporter.git cd snowflake-prometheus-exporter
- Run the containers using Docker Compose:
docker-compose up -d
- Open a web browser and navigate to
http://localhost:9090to access the Prometheus web UI.
The docker-compose.yml file includes several configurable options, such as the ports exposed by the containers and the
locations of the volume mounts. You can modify these options to fit your needs.
The latest tag refers to the most recent version of the Docker image that has been built and pushed to the Docker
registry. It is generally recommended to use the latest tag to ensure that you are using the most up-to-date version of
the image.
The arm64 tag refers to a specific version of the Docker image that has been built for the ARM64 architecture. This
version of the image is optimized for use on devices with ARM64 processors, such as the Raspberry Pi.
To import a sample Grafana dashboard, follow these steps:
- Download the sample dashboard file
grafana-sample-dashboard.json. - Open your Grafana instance in a web browser.
- Log in to Grafana with your username and password.
- Click on the "plus" icon in the left sidebar to open the "Create" menu.
- Select "Import" from the "Create" menu.
- Click on the "Choose File" button and select the .json file that you downloaded in step 1.
- Click on the "Load" button to begin the import process.
- If prompted, select prometheus as the data source that you want to use with the dashboard.
- Review the dashboard and click on the "Import" button to complete the process.
You should now see the imported dashboard listed in the "Dashboards" section of the left sidebar. You can click on the dashboard to view it.
This project is licensed under the MIT License
The Script used is based on analyze_snowflake_logs.py by MariusHerget