cata77/booking-system

Booking System Application

Booking System Application

The Booking System Application is a sophisticated platform designed to replicate the core functionalities of Airbnb. It allows users to browse, book, and review a wide range of accommodations. The application leverages a microservices architecture complemented by a comprehensive backend database schema to ensure robustness, scalability, and user satisfaction.

System Design

Database Design

Key Components:

• Frontend: A user interface for customers to interact with the system.
• API Gateway: Manages and routes incoming requests to appropriate microservices.
• Microservices:
  1. User Service: Handles user registration, authentication, and profile management.
  2. Hotel Service: Manages hotel information, room details, and availability.
  3. Booking Service: Processes booking requests and manages reservations.
  4. Search Service: Provides advanced search functionality for hotels.
  5. Payment Service: Handles secure payment processing.
  6. Analytics Service: Collects and analyzes booking data for insights.

Databases:

• User DB: Stores user information.
• Hotel DB: Contains hotel and room details.
• Booking DB: Stores booking information.

Elasticsearch:

• Powers the search functionality for efficient hotel queries.

Redis:

• Caches frequently accessed data for improved performance.

Kafka:

• Facilitates event-driven communication between services.

Supporting Services:

• Discovery Service: For service registration and discovery.
• Config Service: Centralized configuration management.
• Keycloak: Provides secure authentication and authorization.

Monitoring and Analytics:

• Kibana, Prometheus, and Grafana for system monitoring and data visualization.

Current Status and Future Tasks:

The project is a work in progress, with significant components and features still to be completed. The key tasks ahead include:

• Frontend Development: Creating a responsive and user-friendly interface to engage users effectively.
• Kafka Integration: Implementing Kafka for event-driven architecture to support asynchronous communication between services.
• Payment Service Implementation: Developing a secure and reliable payment processing system.
• Analytics and Monitoring: Setting up analytics to derive actionable insights from user data and establishing comprehensive monitoring to track system performance.
• DevOps Pipeline Creation: Building a continuous integration and deployment pipeline to automate testing, deployment, and scaling processes.
• Upon completion of these components, the project aims to deliver a competitive and user-friendly booking platform, meeting high standards of performance and user experience.