In today’s digital age, establishing a robust backend for an e-commerce platform is not just beneficial but essential. A well-structured REST microservices architecture can streamline operations, enhance scalability, and significantly improve the user experience. This article guides you through implementing a REST microservices architecture for e-commerce using Spring Boot, complemented by cloud capabilities and multiple modules.
Table of Contents
Project Architecture

The project architecture represents a well-structured layout of different services communicating over the web. Imagine this architecture as a bustling marketplace, where each stall (service) specializes in a particular type of product or service. The stalls work independently yet collaboratively, sharing information seamlessly via well-defined pathways (APIs).
Tools and Technologies
The success of our REST microservices implementation hinges on a solid choice of technologies:
- Java 8
- Spring Boot – version 2.1.5 RELEASE
- Spring Web MVC – version 5.1.7 RELEASE
- Spring SESSION – version 2.1.6 RELEASE
- Spring Cloud – Open Feign – version 2.1.1 RELEASE
- Netflix Zuul – version 1.3.1
- Netflix Eureka Client/Server – version 2.1.1
- Netflix Ribbon – version 2.3.0
- Redis Client: JEDIS – version 2.9.3
- Spring Data REDIS – version 2.1.8 RELEASE
- Spring Data JPA – version 2.1.8 RELEASE
- Hibernate – version 5.0.4 Final
- SQL Database engine: Microsoft SQL 2016
- NoSQL Database engine: Redis 3.2.100
- Maven
Features
The functionalities of our application cater to both administrators and users, thus enhancing the overall user experience:
- Administrator:
- Users management
- Products management
- Orders management
- Recommendations management
- User:
- Registration
- Shopping cart (for guest or logged users)
- Order management
- Product recommendations
- Product catalog
Status
Application status: BETA
Troubleshooting
While implementing the REST microservices architecture, challenges can arise. Here are some common issues and their solutions:
- Problem: Services not communicating.
- Solution: Ensure your service configuration is correct, and that all service endpoints are reachable from one another.
- Problem: Data inconsistency.
- Solution: Utilize transactions carefully and check that your data repositories are correctly configured for either SQL or NoSQL data stores.
- Problem: Load Issues.
- Solution: Consider adding a load balancer like Netflix Ribbon and ensure instances are scalable.
- Problem: Unknown errors during deployment.
- Solution: Check your logs for detailed error messages and adjust the log level as necessary to capture more details.
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At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.
By effectively understanding and implementing REST microservices architecture for e-commerce, you not only enhance your application’s performance but also pave the way for future growth and adaptability in the fast-paced digital marketplace.

