Design Microservices Architecture with Patterns and Principles - Design Microservices Architecture with CQRS, Event Sour

The video tutorial covers the implementation of CQRS, event sourcing, eventual consistency, and materialized view patterns in microservice architecture. It discusses the design toolbox, functional and non-functional requirements, and the choice of database patterns, including shared, relational, and NoSQL databases. The tutorial explains how to refactor design using these patterns and principles, focusing on an ecommerce application with four main microservices. It highlights the importance of storing events in a write database and using a read database for materialized views, emphasizing the benefits of event sourcing for query performance and scalability. The tutorial concludes with a discussion on database systems, eventual consistency, and the final architecture design.

What is the primary focus before designing an architecture according to the video?

• Deciding on the team structure

• Choosing the right programming language

• Understanding the design toolbox and requirements

• Selecting the best cloud provider

Which database patterns are mentioned in the context of microservices data management?

• Graph databases and time-series databases

• Document databases and columnar databases

• Shared database pattern and NoSQL databases

• In-memory databases and key-value stores

What is the main advantage of using event sourcing in microservices?

• It eliminates the need for backups

• It reduces the need for a database

• It allows storing the history of data changes

• It simplifies the user interface

How does the system handle the conversion of events to materialized views?

• By using a direct database connection

• Through a publish-subscribe pattern

• By manual data entry

• Using a batch processing system

Why is eventual consistency chosen over strong consistency in the architecture?

• It is more secure

• It provides better availability

• It is easier to implement

• It requires less storage