Design Microservices Architecture with Patterns and Principles - How to Sync Read and Write Databases in CQRS?

The video tutorial discusses the SQLS design pattern, focusing on synchronizing read and write databases using event-driven architecture. It highlights the challenges of eventual consistency due to asynchronous communication and suggests using replicas and materialized views for improved performance. The tutorial also covers the CQRS design pattern, which separates command and query databases, allowing independent scaling. Event sourcing is recommended for maintaining consistency, and the video emphasizes the importance of understanding both CQRS and event sourcing for effective database management.

What is a primary challenge when using event-driven architecture for synchronizing databases?

• Eventual consistency

• Lack of scalability

• Immediate data consistency

• Synchronous communication

How can query performance be significantly increased in SQLS design?

• By reducing the number of databases

• By using synchronous communication

• By applying materialized view patterns

• By avoiding replicas

What advantage does separating read and write databases provide?

• Reduced data storage

• Independent scalability

• Simplified database management

• Increased write speed

What does CQRS stand for in the context of database design?

• Command Queue Resource Synchronization

• Central Query Response System

• Command Query Replication System

• Command Query Responsibility Segregation

Why is it important to learn both CQRS and event sourcing patterns?

• They offer best practices when used together

• They are rarely used together

• They eliminate the need for message brokers

• They simplify database management