BookMyHotel – MuleSoft API-Led Integration Project

Overview

BookMyHotel is an end-to-end enterprise integration project built using MuleSoft 4 and API-led connectivity.
The project simulates a real-world hotel search and booking platform by integrating multiple backend systems using scalable, reusable APIs.

Architecture

The solution follows MuleSoft’s API-Led Connectivity approach:

1. Experience API

• Exposes REST endpoints to external consumers
• Handles request validation and response formatting
• Acts as a single entry point for clients

2. Process API

• Orchestrates business logic
• Aggregates data from multiple System APIs using Scatter-Gather
• Applies transformation and business rules
• Ensures loose coupling between Experience and System layers

3. System APIs

• Abstract backend systems
• Handle connectivity and protocol-specific logic

APIs Implemented

• bookmyhotel-experience-api
• bookmyhotel-process-api
• india-hotels-api
• users-system-api

Functional Flow

1. Client sends a hotel search or booking request to the Experience API
2. Experience API forwards the request to the Process API
3. Process API:
   • Invokes multiple System APIs in parallel using Scatter-Gather
   • Fetches hotel data, user details, and availability
   • Performs DataWeave transformations
4. System APIs connect to:
   • Database (MySQL) for hotel and user data
   • File/FTP system for batch hotel data
   • External APIs for enrichment
5. Final aggregated response is returned to the client

Integrations Used

• HTTP Connector – REST API communication
• FTP/File Connector – File-based hotel data ingestion
• Database Connector (MySQL) – Persistent data storage
• IBM MQ – Asynchronous messaging and event-driven integration
• Anypoint MQ – Reliable message queuing and retry mechanism
• External REST APIs – Third-party system integration

Advanced MuleSoft Concepts

• API-Led Connectivity
• Scatter-Gather for parallel processing
• DataWeave transformations
• Streaming strategies for large payloads
• Centralized error handling
• Retry and redelivery policies
• Secure configuration using TLS
• Scheduler for automated batch processing

Scheduler

• Scheduler is used to periodically trigger batch jobs
• Reads hotel data from FTP and loads it into the database
• Ensures automated data refresh without manual intervention

Error Handling & Reliability

• Global error handlers implemented across APIs
• Timeout and connectivity errors handled gracefully
• Retries configured for MQ and external systems
• Dead-letter handling for failed messages

Deployment & Management

• Deployed on Anypoint Platform (CloudHub)
• APIs published to Anypoint Exchange
• Version controlled using GitHub and Anypoint Exchange
• Monitored using Anypoint Runtime Manager and logs

Technologies Used

• MuleSoft 4
• Anypoint Studio
• RAML
• DataWeave 2.0
• HTTP, FTP, DB, MQ Connectors
• IBM MQ
• MySQL
• Anypoint Platform (CloudHub, Exchange, API Manager)
• Git & GitHub

Use Case

The project demonstrates how a real-world hotel booking system can be built using MuleSoft by integrating multiple systems in a scalable, secure, and reusable way.

Author

Shubhangi Singh

License

This project is for learning purposes.