Design Microservices Architecture with Patterns and Principles - Problem: Client Apps Have Different UI Requirements

The video discusses the challenges faced in designing an ecommerce application using microservices, particularly in meeting different UI requirements for web and mobile clients. The current architecture requires complex client-side logic to format data, leading to maintenance difficulties and high resource usage. The solution proposed is the Back End for Front End (BFF) pattern, which moves some frontend logic to an intermediate API gateway layer, simplifying client-side code and improving data representation.

What is the main issue with the current architecture of the ecommerce application?

• It does not support different UI requirements for web and mobile clients.

• It lacks a proper database management system.

• It is not scalable for large user bases.

• It does not have a secure authentication mechanism.

Why does the current architecture lead to complex client-side logic?

• Because it requires custom logic to reformat data for different client UIs.

• Because it uses outdated programming languages.

• Because it lacks proper documentation.

• Because it does not support cloud deployment.

What is the best practice for handling data representation in client applications?

• Storing all data on the client side.

• Using a single data format for all client applications.

• Using a third-party service for data management.

• Returning data as per the exact client requirements from the internal microservices.

What does the Back End for Front End (BFF) pattern aim to achieve?

• It aims to streamline data representation and simplify client application code.

• It aims to replace all existing microservices.

• It aims to increase the complexity of client-side code.

• It aims to enhance the security of the application.

How does the BFF pattern help in reducing client-side complexity?

• By using a single API for all client applications.

• By increasing the number of microservices.

• By eliminating the need for a database.

• By moving some front-end logic to an intermediate API gateway layer.