A scalable, microservice-based MP3 converter that efficiently converts video files to MP3 format. This project leverages a distributed system architecture to ensure high performance and reliability.
This MP3 Converter project is designed to handle high-volume video-to-MP3 conversions using a microservice architecture. The system is built to be scalable, resilient, and capable of handling thousands of conversions and concurrent users efficiently.
- High-Efficiency Conversion: Converts video files to MP3 format, reducing processing time
- Scalable Data Management: Utilizes MongoDB and MySQL for optimized data storage, handling concurrent users with strong consistency ensured by RabbitMQ.
- Resilient Architecture: Microservices are deployed using Docker and Kubernetes, reducing infrastructure costs and minimizing system downtime.
- Backend: Python, Flask
- Microservices: Kubernetes, Docker, RabbitMQ
- Databases: MongoDB, MySQL
- Authentication: JWT-based authentication for secure access and communication
- Data Consistency: Strong and eventual consistency across services with RabbitMQ
- Deployment: Docker and Kubernetes for scalable microservices deployment
- Clone the repository:
git clone https://github.com/yourusername/mp3-converter.git cd mp3-converter