The application performs video-to-MP3 conversion and comes with features such as user authentication and notification services to deliver efficient and scalable multimedia processing. A microservices architecture with an API Gateway pattern is adopted and the services are deployed, scaled, and managed using Kubernetes. The microservices communicate with each other asynchronously using RabbitMQ. Additionally, a token-based authentication flow is adopted. The user data is stored in MySQL and the videos and output mp3s are stored in MongoDB.
Microservice Architecture: Orchestrated a microservice-based architecture, capitalizing on Kubernetes and Docker, to create a flexible and responsive system. This architecture allowed our application to dynamically scale and efficiently manage the processing of over 100 concurrent conversion requests in under a minute.
Flask Services: Developed lightweight yet powerful microservices using Flask, enabling seamless handling of video-to-MP3 conversion requests. Flask's simplicity and flexibility made it a valuable choice for building the core functionality.
Asynchronous Communication: Implemented asynchronous inter-service communication using RabbitMQ. This approach optimized the overall performance of the system by allowing services to work independently, significantly enhancing responsiveness and resource utilization.
Data Management: Employed MongoDB as a data store for efficiently storing input and output files. MongoDB's scalability and document-oriented structure were well-suited for managing multimedia data. Additionally, MySQL was used to maintain user information, ensuring data integrity and robust user management.