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Anh Quan Tran

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Book Store

Developed a production-ready API supporting 1,000+ concurrent users with 98% uptime using Dockerized microservices.

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Java
Spring Boot
Spring Data JPA
Maven
PostgreSQL
Docker
Redis
Caffeine
JWT
RESTful API
Microservices
Asynchronous Processing
Rate Limiting
Book Store project showcase

Developed a production-ready API supporting 1,000+ concurrent users with 98% uptime using Dockerized microservices. Reduced API response times by 70% through strategic indexing, Redis/Caffeine caching, and asynchronous processing. Architected security featuring JWT authentication, rate limiting, and secure data validation pipelines.

#Key Features

API Development

  • RESTful API design with Spring Boot
  • Microservices architecture
  • Request/response validation
  • API documentation with Swagger/OpenAPI

Performance Optimization

  • Multi-layer caching (Redis + Caffeine)
  • Database query optimization
  • Asynchronous processing for heavy operations
  • Connection pooling and resource management

Security & Reliability

  • JWT-based authentication
  • Rate limiting for API protection
  • Input validation and sanitization
  • Comprehensive error handling

#Technical Highlights

Built with Spring Boot framework and Spring Data JPA for database operations. Utilizes PostgreSQL for relational data storage, Redis for distributed caching, and Caffeine for in-memory caching. Dockerized for easy deployment and scalability. Maven for dependency management and build automation.