Geetendra Singh SengaIntroduction

https://github.com/Geetendra1/retail-shoping-webapp-microservice-architecture

I have developed a robust backend for a retail shopping application using a microservice architecture, executed in Node.js. This architecture is divided into three primary services, each designed to handle specific aspects of the application.

1. Customer Service: This service is the backbone of all customer-related operations. It has been designed to manage tasks such as customer registration, login, profile management, and more. Its primary focus is to ensure a smooth user experience by facilitating user interactions with the application.
2. Shopping Service: This service is the heart of the shopping functionality. It manages the shopping cart, processes order placements, and tracks orders to ensure an efficient shopping experience. Its goal is to make the shopping process as seamless and user-friendly as possible.
3. Product Service: This service is the core of product management. It takes care of product listings, provides detailed product information, and oversees inventory management. Its purpose is to ensure that the products are accurately represented and managed within the application.

Database Scaling:

Microservices can help scale a database by implementing the Database per Service pattern. In this approach, each microservice has its own dedicated database, allowing it to handle its data management independently. This ensures that the microservice can be scaled without affecting the data management of other services.

Furthermore, implementing this pattern can improve the performance of each microservice. Since each microservice and its corresponding database can be distributed across multiple servers, the load can be balanced more effectively. This reduces the risk of a single point of failure and allows the system to handle larger volumes of data and requests.

However, it's worth noting that this approach introduces its own challenges, such as data consistency and integrity across multiple databases. Solutions such as database replication, event-driven data synchronization, or eventual consistency can be implemented to address these issues.

Inter-Service Comminication (Message Broker):

To ensure seamless communication between these diverse services, I have implemented a message broker. This component plays a crucial role in the architecture, ensuring reliable and efficient communication between the microservices. It allows each service to operate independently while still coordinating effectively to perform complex tasks.

The message broker is the unsung hero of this architecture, operating behind the scenes to ensure that each service can communicate with the others. It helps maintain the independence of the services, reducing the risk of system-wide failures.

In addition to these services, the architecture also includes several other components. These include a database for storing user and product information, an API gateway for handling requests from the frontend, and a load balancer to ensure that the system can handle high levels of traffic.