LogLama + Grafana Example (Docker Compose)
This example demonstrates how to run LogLama and Grafana together using Docker Compose. Grafana can be configured to visualize logs or metrics produced by LogLama.
Prerequisites
- Docker and Docker Compose installed
- (Optional) A LogLama Docker image. If not available, you may need to build one from the LogLama source/Dockerfile.
Usage
- Clone this repository or copy the example directory.
- Place a valid
.env file for LogLama as devlama.env in this directory if needed.
- Start the services:
- Access LogLama at http://localhost:5000
- Access Grafana at http://localhost:3000
- Default login:
admin / admin
Grafana Integration
LogLama stores logs in files and SQLite. Grafana can visualize data from supported datasources:
- SQLite: Use the SQLite datasource plugin to connect to LogLama’s SQLite database.
- File: For log files, use the Loki stack or a sidecar to tail logs and send them to Grafana/Loki.
- Prometheus: If LogLama exposes metrics in Prometheus format, add Prometheus as a service and datasource.
Example: Connecting Grafana to LogLama SQLite
- Install the SQLite datasource plugin in Grafana.
- Configure the datasource to point to
/logs/loglama.db (mount this volume in the Grafana container if needed).
- Create dashboards/queries in Grafana using SQL.
Example: File-based Log Integration (Loki)
- Add a Loki service to
docker-compose.yml and configure it to read from /logs.
- Add Loki as a datasource in Grafana.
- Visualize logs in Grafana using the Explore tab.
Notes
- This example assumes the LogLama Docker image writes logs to
/logs and/or a SQLite DB at /logs/loglama.db.
- You may need to adjust volume mounts and permissions for Grafana to read logs or databases.
- For advanced setups, consider adding Prometheus, Loki, or other exporters.
Cleanup
For more details, see the main LogLama documentation and the Grafana plugin docs.