Grafana & InfluxDB Setup with Docker

This repository provides a simplified setup for Grafana and InfluxDB using Docker. It demonstrates how to provision data sources and dashboards automatically.

Project Structure

your_project_root/
│
├── docker-compose.yml
│
└── provisioning/
├── datasources/
│   └── datasources.yaml
│
└── dashboards/
├── dashboards.yaml
└── my_dashboard.json

Steps to Set Up

1. Start the Services: Navigate to your project root and run the following command to start Grafana and InfluxDB:

docker-compose up -d

2. Run the Data Generation Script: Ensure you have the required Python libraries installed:

pip3 install influxdb-client

Run the Python script to generate and insert sample room temperature data:

python3 generate_data.py

3. Access Grafana: Navigate to http://localhost:3000/. The default login is admin for both username and password. Grafana should have an InfluxDB data source configured and a dashboard ready with your data.

4. Modify & Extend: You can modify the data generation script as needed. Add new dashboards by exporting their JSON model from Grafana and placing them in the provisioning/dashboards/ directory.

Troubleshooting

• Datasource Configuration: Ensure that the data source is set to connect using the Flux language, which is the query language for recent versions of InfluxDB.

• Data Generation: If you encounter authentication issues while generating data, ensure the token, organization, and bucket are correctly set in both the Python script and the datasources.yaml.

• Provisioning: If changes to your provisioning configurations don't seem to take effect, try restarting the Grafana container:

docker-compose restart grafana

Conclusion

This setup provides a seamless integration between Grafana and InfluxDB, showcasing the power of visualizations and the simplicity of Docker-based deployments.