PerfAnalytics is an open-source project aimed at measuring and analyzing performance metrics. It provides a comprehensive solution for gathering performance data, visualizing insights, and making informed optimizations. The project is built using NestJS for the backend, Kafka for data streaming, and Next.js for the client-side interface.

• Collects and analyzes performance metrics to identify bottlenecks and areas for optimization.
• Real-time data streaming through Kafka for seamless performance tracking.
• User-friendly dashboard powered by Next.js for visualizing performance insights.
• Easily extensible and customizable architecture to suit your specific needs.

Follow these steps to get PerfAnalytics up and running:

• Node.js (version 16 recommended)
• Yarn package manager

1. Clone the PerfAnalytics repository:

git clone https://github.com/Trendyol/perfanalytics.git

2. Navigate to the project directory:

cd perfanalytics

3. Install backend dependencies:

cd backend
yarn install

4. Install frontend dependencies:

cd ../client
yarn install

5. Install lighthouse dependencies:

cd ../lighthouse
yarn install

1. Open the backend/.env file and configure any necessary environment variables, such as database connections or API keys.

2. Open the lightouse/.env file and configure any necessary environment variables, such as Kafka connection information.

3. Open the client/.env.local file and set any environment variables required for the frontend.

1. Start the backend server:

cd backend
yarn start:dev

2. Start the frontend server:

cd client
yarn dev

3. Start the lighthouse server:

cd lighthouse
yarn start

The project includes a GitHub Actions workflow for continuous integration. The workflow includes the following jobs:

• Pre-check: Checks for changes in the client and backend code and triggers corresponding jobs if changes are detected.

• Client: Builds and deploys the client application.

• Backend: Builds and deploys the backend application.

• Lighthouse: Builds and deploys the lighthouse application.

We welcome contributions! If you'd like to contribute to PerfAnalytics.

This project is licensed under the MIT License.