Design Microservices Architecture with Patterns and Principles - The Database-Per-Service Pattern - Polyglot Persistence

The video tutorial discusses the database per service pattern in microservice architecture, emphasizing the importance of loosely coupled services. Each microservice should have its own database, allowing for independent scaling and changes without affecting others. The tutorial highlights the benefits of this pattern, such as data encapsulation and polyglot persistence. An example of an e-commerce application is provided, illustrating the use of different databases for product, shopping cart, and ordering microservices. The growing popularity of NoSQL databases in enterprise applications is also discussed.

What is a key characteristic of microservice architecture discussed in the first section?

• Tightly coupled services

• Shared databases among services

• Centralized data management

• Loosely coupled services

Which of the following is a benefit of the database per service pattern?

• Easier data schema changes without affecting other services

• Reduced scalability

• Centralized data storage

• Increased dependency between services

How does the database per service pattern handle data access?

• Direct database access by all services

• Access through REST APIs

• Shared database access

• Access through SOAP APIs

What type of database is used for the product microservice in the e-commerce example?

• Relational database

• NoSQL document database

• Graph database

• Distributed cache

Why are NoSQL databases becoming popular in enterprise applications?

• They offer high availability and flexibility

• They are more expensive

• They are less scalable

• They require more maintenance