I thoroughly enjoyed working on this project, where I had the opportunity to acquire a wealth of knowledge. Throughout the process, I engaged in extensive research and put into practice the valuable insights I gained from our dedicated instructor and supervisor, Abdelhamid Malki, over the course of two semesters, encompassing Advanced Databases and Microservices modules.

Supervisor: Abdelhamid Malki

Team:

Microservices Architecture

1. Auth Microservice: Acts as an identity provider, handling authorization and authentication.

2. API Gateway Microservice: Manages request routing, client-side load balancing, and calls the "auth microservice." It injects necessary headers after validating the JWT payload.

3. Eureka Server Microservice: Functions as a discovery service, allowing microservice instances to self-register.

4. Worker Microservice: Manages data within the worker bounded context.

5. Company Microservice: Manages data within the company bounded context.

6. Interaction Microservice: Collects statistics about company interactions with workers, including click events, impressions, and views.

7. Storage Microservice: Stores media in storage buckets.

8. Recommendation Microservice: This FastAPI microservice utilizes data collected by the "interaction microservice" to generate recommendations for clients (companies) using a matrix factorization strategy (items: workers, users: companies).

9. Payment Microservice: Manages payment-related functionalities within the company payments bounded context.

10. Hiring Microservice: Manages the workers hiring process.

11. Chat Microservice: Manages real-time messages between companies and their hired workers.

Kafka Integration Message Broker: Acts as a message broker, facilitating asynchronous communication between microservices and managing transactions between them.