Design Microservices Architecture with Patterns and Principles - Introduction - Microservices Distributed Transactions

The video tutorial covers the final part of microservices data management, focusing on distributed transaction management patterns and best practices. It discusses the SAGA pattern, transactional outbox, compensating transactions, and CDC principles. The tutorial also reviews microservices data management topics, including choosing the right database, commands and queries, and distributed transactions. It highlights the importance of consistency and integrity in distributed environments and addresses challenges like cross-service queries and transaction rollback. Solutions and future learning directions are provided to manage consistency across microservices.

Which pattern is used for managing distributed transactions with choreography and orchestration?

• CQRS pattern

• SAGA pattern

• Database sharding pattern

• Event sourcing pattern

What is the primary consideration when choosing a database for microservices?

• Ease of use

• Choosing the right tool for the right job

• Popularity of the database

• Cost of the database

Which principle involves capturing changes in data for consistency?

• Eventual consistency

• Functional partitioning

• Change data capture (CDC)

• Data sharding

What is a key challenge in distributed transactions across microservices?

• User authentication

• High latency

• Data redundancy

• Managing consistency

What should be considered if a service is down during a distributed transaction?

• Rollback the transaction and run compensating steps

• Retry the transaction

• Ignore the service

• Switch to a backup service