Design Microservices Architecture with Patterns and Principles - Evaluate Microservices Architecture with CQRS, Event So

The video tutorial discusses the Microsource architecture using CQRS, Event sourcing, and Materialized view patterns. It evaluates the current architecture, highlighting benefits like scalability, performance, and flexibility, while also addressing drawbacks such as increased complexity, eventual consistency, and distributed transaction management. The tutorial concludes with a summary of the design and evaluation of an e-commerce application using these patterns.

What is the primary purpose of evaluating the current architecture?

• To find ways to reduce the number of microservices

• To determine the cost of the architecture

• To assess the benefits and drawbacks for project requirements

• To identify new technologies to implement

How does separating read and write databases improve scalability?

• By reducing the number of databases

• By allowing independent scaling of databases

• By increasing the number of microservices

• By simplifying the database schema

What is a key benefit of using denormalized data in the read database?

• It simplifies the write operations

• It increases the complexity of queries

• It reduces the need for long-running join queries

• It requires more storage space

What is a major drawback of the CQRS pattern?

• It simplifies the system design

• It ensures strong consistency

• It increases system complexity

• It reduces the need for synchronization

Why might CQRS not be suitable for applications requiring strong consistency?

• Because it increases the number of microservices

• Because it does not support distributed transactions

• Because it relies on eventual consistency

• Because it uses a single database for all operations