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Event-Driven Architecture in Golang

Event-Driven Architecture in Golang

By : Michael Stack
4.9 (11)
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Event-Driven Architecture in Golang

Event-Driven Architecture in Golang

4.9 (11)
By: Michael Stack

Overview of this book

Event-driven architecture in Golang is an approach used to develop applications that shares state changes asynchronously, internally, and externally using messages. EDA applications are better suited at handling situations that need to scale up quickly and the chances of individual component failures are less likely to bring your system crashing down. This is why EDA is a great thing to learn and this book is designed to get you started with the help of step-by-step explanations of essential concepts, practical examples, and more. You’ll begin building event-driven microservices, including patterns to handle data consistency and resiliency. Not only will you learn the patterns behind event-driven microservices but also how to communicate using asynchronous messaging with event streams. You’ll then build an application made of several microservices that communicates using both choreographed and orchestrated messaging. By the end of this book, you’ll be able to build and deploy your own event-driven microservices using asynchronous communication.
Table of Contents (18 chapters)
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1
Part 1: Event-Driven Fundamentals
5
Part 2: Components of Event-Driven Architecture
12
Part 3: Production Ready

What is event sourcing?

Event sourcing is a pattern of recording each change to an aggregate into an append-only stream. To reconstruct an aggregate’s final state, we must read events sequentially and apply them to the aggregate. This contrasts with the direct updates made by a create, read, update, and delete (CRUD) system. In that system, the changed state of the record is stored in a database that overwrites the prior version of the same aggregate.

If we increase the price of a product, the following two tables show how that change might be recorded:

Figure 5.1 – A CRUD table (Products) and an event store table (Events)

When the price change has been saved to the Products table, only the price needs to change, leaving the rest of the row as is. We see in Figure 5.1 that this is the case; however, we have lost both the previous price and the intent of the change.

The new price, as well as pertinent and valuable metadata, such as the purpose...

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