You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 
 
 
 
docker-jitsi-meet/log-analyser
Ilayda Dastan 9f2489de80
feat(log-analyser): updated grafana dashboards (#1885)
2 months ago
..
grafana-provisioning feat(log-analyser): updated grafana dashboards (#1885) 2 months ago
loki/conf feat(jitsi-meet): added grafana loki and otel integration for log analysis (#1844) 4 months ago
README.md feat(log-analyser): transfered docker logs from docker containers and updated readme (#1884) 2 months ago
otel-collector-config.yaml feat(log-analyser): transfered docker logs from docker containers and updated readme (#1884) 2 months ago

README.md

JITSI MEET LOG ANALYSER - Grafana Loki and OpenTelemetry Integration

Welcome to the Grafana Loki and OpenTelemetry integration project! This repository provides a simple and effective setup for log management and analysis using Docker, Grafana Loki, and OpenTelemetry. Currently this is an in-progress GSoC Summer of Code project and so the instructions may change before being finalized. Please treat all this as alpha code.

Overview

This project demonstrates how to configure and use Grafana Loki with OpenTelemetry to collect, parse, and visualize log data from Jitsi Meet components. It includes:

  • A Docker Compose setup (log-analyser.yml) for Loki and OpenTelemetry Collector.
  • A Docker Compose setup (grafana.yml) for Grafana.
  • A unified Docker Compose command to start all services.
  • Instructions to set up and access Grafana with Loki as a data source.

Getting Started

Prerequisites

  • Docker
  • Docker Compose

Setup

  1. Clone the repository:
git clone https://github.com/jitsi/docker-jitsi-meet.git
  1. Update Jitsi Meet Docker Compose Configuration:

To enable log collection and analysis, you need to modify the docker-compose.yml file for Jitsi Meet components. Add the following configuration to each Jitsi service within the docker-compose.yml file:

    logging:
      driver: "json-file"
      options:
        labels: "service"

This configuration ensures that logs are collected in JSON format and tagged with service labels, which is essential for Loki to properly ingest and index the logs.

  1. Start the Docker containers:

    To start all necessary services, including Jitsi Meet components, Grafana, Loki, and OpenTelemetry, run:

    docker-compose -f docker-compose.yml -f log-analyser.yml -f grafana.yml up -d
    
    • This command will start the Jitsi Meet components from docker-compose.yml, the log analysis tools from log-analyser.yml, and Grafana from grafana.yml. The logs from Jitsi Meet components will automatically be sent to Grafana through Loki.
    • Note: To use only Grafana for visualization without log analysis, you can use just grafana.yml alone. However, for the complete log analysis project, you need both log-analyser.yml and grafana.yml.

Access Grafana

  1. Open your web browser and navigate to http://localhost:3000.

  2. Log in to Grafana:

    Use the default credentials:

    Username: admin
    Password: admin
    
  3. Dashboard Setup:

    The dashboards for Jitsi Meet components are pre-configured and will be automatically available in Grafana. You can explore these dashboards to view and analyze logs.

Usage

  • Log Parsing and Visualization: After setting up, use Grafana to explore and visualize your logs. Check the pre-configured dashboards and panels to monitor and analyze log data from Jitsi Meet components effectively.

Acknowledgements

Thank you for exploring this project! For detailed documentation, follow the Jitsi Handbook, you can follow the Docker and Log-Analyser guides under Self-Hosting Guide > Deployment guide.

If you have any questions or need further assistance, please feel free to reach out.