Design Microservices Architecture with Patterns and Principles - Event Sourcing Pattern

The video tutorial explains the event sourcing pattern, which differs from traditional data storage by recording every change as an event in an event store. This approach addresses performance and scalability issues in large-scale architectures by maintaining a sequential list of events, which can be used to generate materialized views representing the current state of data. The event store becomes the source of truth, and the publish-subscribe pattern with message brokers facilitates the conversion of event data into readable formats and allows for event replay to reconstruct data states.

Explain how the publish-subscribe pattern is related to Event Sourcing.

In what way can the event list be utilized to build the latest status of data?