Event Sourcing Microservice Design Pattern Tutorial with Examples for Software Developers

In this video we will learn about Event Sourcing design pattern for microservices. This is the 4th design principle in Database design patterns category for microservices.

Event sourcing pattern says Instead of storing just the current state of the data in a domain, use an append-only store to record the full series of actions taken on that data. Event Sourcing is an architectural design pattern that stores data in an append-only log. Event Sourcing pattern defines an approach to handling operations on data by a sequence of events, each of which is recorded in an append-only store. Event sourcing pattern is typically used with the CQRS pattern to sync data from write database to read database. Event sourcing pattern with CQRS decouple read from write workloads, and optimize for performance, scalability, and security. Data in Event Sourcing db is stored as a series of events, instead of direct updates to data stores.

Event sourcing pattern works effectively with the CQRS pattern because data can be reproduced for a specific event, even if the command and query data stores have different schemas. Microservices replay events from an event store to compute the appropriate state of their own data stores. By choosing this pattern, you can identify and reconstruct the application’s state for any point in time.


** Usage of this Design Pattern **
1. Use this pattern when events are used to completely rebuild the application's state.
2. Use this pattern when You require events to be replayed in the system, and that an application's state can be determined at any point in time.
3. Use this pattern when You want to be able to reverse specific events without having to start with a blank application state.
4. Use this pattern when Your system requires a stream of events that can easily be serialized to create an automated log.
5. Use this pattern when Your system requires heavy read operations but is light on write operations

** Advantages of this Design Pattern **

1. Events are immutable and can be stored using an append-only operation.
2. Event source persists events rather than domain objects.
3. Using events can simplify implementation and management.
4. Event sourcing can help prevent concurrent updates from causing conflicts
5. The append-only storage of events provides an audit trail that can be used to monitor actions taken against a data store.

** Chapter Timestamps **
0:00 Welcome to Event Sourcing design pattern
1:04 Agenda of tutorial
2:15 Introduction of Event Sourcing design pattern
4:00 Real world examples of Event Sourcing design pattern
3:50 Understanding Instagram Database Architecture
5:37 Usage of Event Sourcing design pattern
6:27 Advantages of Event Sourcing design pattern
7:25 Summary of Event Sourcing design pattern
8:05 Next video on SAGA design pattern for microservices

#microservices #eventsourcing #designpatterns

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