Design Microservices Architecture with Patterns and Principles - CQRS with Event Sourcing Pattern

The video tutorial explains the event sourcing pattern, highlighting its integration with secure patterns and CQRS design. It emphasizes storing events in a write database as the source of truth, while read databases provide materialized views. The event store records all changes sequentially, allowing for historical data reconstruction. A practical example of a shopping cart in an ecommerce application illustrates the concept. The tutorial also addresses the complexity and eventual consistency challenges associated with event sourcing.

What is the primary purpose of storing events in the write database in the event sourcing pattern?

• To store denormalized tables

• To serve as the source of truth for events

• To delete old data records

• To update the status of data records

In the event sourcing architecture, what is the role of the event store?

• To update data records directly

• To store only the final state of data

• To append changes in a sequential list of events

• To delete outdated events

How are changes in data typically handled in an event sourcing system?

• By appending each change as a new event

• By storing only the final state

• By updating the data directly

• By deleting old events

What is a key benefit of using event sourcing in an e-commerce application?

• It enables storing a history of user actions

• It eliminates the need for a read database

• It simplifies the database structure

• It allows for real-time updates without delay

What is a major challenge associated with the event sourcing pattern?

• It eliminates data consistency

• It reduces query performance

• It increases system complexity

• It requires constant manual updates