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

The video discusses the database per service pattern in microservices architecture, highlighting its benefits such as scalability, resilience, and the ability to use different database technologies for different services. It also addresses challenges like service communication and distributed transactions, emphasizing the trade-offs involved in software architecture.

What is one of the primary benefits of using a database per service pattern in microservices architecture?

• Centralized data management

• Independent scaling of services

• Simplified inter-service communication

• Unified database technology

How does the database per service pattern enhance resilience in microservices?

• By using a single point of failure for all services

• By allowing all services to share a single database

• By simplifying the deployment process

• By ensuring that changes in one database do not affect others

Which of the following is NOT a benefit of using different database technologies for different microservices?

• Optimizing database choice based on service requirements

• Using the most efficient database for each service

• Enhancing the performance of individual services

• Simplifying the database management process

What is a significant challenge when using the database per service pattern?

• Simplified API development

• Centralized data access for all services

• Ensuring data consistency in distributed transactions

• Easy execution of join queries across multiple databases

What is a necessary requirement for services in a database per service pattern to exchange data?

• A shared database for all services

• A clear API for communication

• A single point of failure

• Direct access to each other's databases