feat(log-analyser): transfered docker logs from docker containers and updated readme (#1884)
* feat(log-analyser): docker logs transfered and parsed from docker containers * feat(log-analyser): fixed regex patterns and updated Readme file
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@@ -5,13 +5,13 @@ Currently this is an in-progress GSoC Summer of Code project and so the instruct
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## Overview
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This project demonstrates how to configure and use Grafana Loki with OpenTelemetry to collect, parse, and visualize log data. It includes:
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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:
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- A Docker Compose setup (`log-analyser.yml`) for Loki and OpenTelemetry Collector.
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- A Docker Compose setup (`grafana.yml`) for Grafana.
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- Configuration files for log parsing and exporting.
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- A unified Docker Compose command to start all services.
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- Instructions to set up and access Grafana with Loki as a data source.
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-
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## Getting Started
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### Prerequisites
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@@ -23,39 +23,39 @@ This project demonstrates how to configure and use Grafana Loki with OpenTelemet
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1. **Clone the repository:**
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```bash
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git clone https://github.com/jitsi/docker-jitsi-meet.git
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```
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```bash
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git clone https://github.com/jitsi/docker-jitsi-meet.git
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```
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### Log Analyser
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2. **Update Jitsi Meet Docker Compose Configuration:**
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1. **Add your log files:**
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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:
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Place your log file in the `log-analyser/jitsi-logs` directory. Update the `otel-collector-config.yaml` file with the correct file path to start ingesting the logs. This setup allows OpenTelemetry to read logs from the file and forward them to Loki.
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```yaml
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logging:
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driver: "json-file"
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options:
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labels: "service"
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```
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2. **Update the otel-collector-config.yaml file:**
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Update the file path to point to your log file for ingestion by OpenTelemetry.
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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.
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3. **Start the Docker containers:**
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```bash
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docker-compose -f docker-compose.yml -f log-analyser.yml up -d
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To start all necessary services, including Jitsi Meet components, Grafana, Loki, and OpenTelemetry, run:
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```bash
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docker-compose -f docker-compose.yml -f log-analyser.yml -f grafana.yml up -d
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```
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### Grafana
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- 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.
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- **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`.
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1. **Start the Docker container:**
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### Access Grafana
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```bash
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docker-compose -f docker-compose.yml -f grafana.yml up -d
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```
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1. **Open your web browser and navigate to [http://localhost:3000](http://localhost:3000).**
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2. **Access Grafana:**
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Open your web browser and navigate to [http://localhost:3000](http://localhost:3000).
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3. **Log in to Grafana:**
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2. **Log in to Grafana:**
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Use the default credentials:
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@@ -64,16 +64,17 @@ This project demonstrates how to configure and use Grafana Loki with OpenTelemet
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Password: admin
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```
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### Dashboard Setup
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The dashboard setups are available as JSON files in the `log-analyser/grafana-dashboards` directory. You can import these JSON files into Grafana to use the pre-configured dashboards. In the future, we plan to automate this import process.
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3. **Dashboard Setup:**
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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.
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## Usage
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- **Log Parsing and Visualization:** After setting up, you can use Grafana to explore and visualize your logs. Check our dashboards and panels to monitor log data effectively.
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- **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.
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## Acknowledgements
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Thanks for checking out this project! If you have any questions or need further assistance, don't hesitate to reach out.
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Thank you for exploring this project!
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For detailed documentation, follow the [Jitsi Handbook](https://jitsi.github.io/handbook/docs/intro), you can follow the Docker and Log-Analyser guides under Self-Hosting Guide > Deployment guide.
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If you have any questions or need further assistance, please feel free to reach out.
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