Book Image

Event-Driven Architecture in Golang

By : Michael Stack
5 (1)
Book Image

Event-Driven Architecture in Golang

5 (1)
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)
1
Part 1: Event-Driven Fundamentals
5
Part 2: Components of Event-Driven Architecture
12
Part 3: Production Ready

What is a distributed transaction?

The distributed components of an application will not always be able to complete a task completely isolated. We have already seen how we can use messages to share information between components so that remote components can have the data they need to complete small tasks. Within a simple component, more complex tasks could utilize a transaction to ensure that the entire operation completes atomically.

Let’s talk about local transactions for a moment and why we would want to emulate them as distributed transactions. We use transactions for the atomicity, consistency, isolation, and durability (ACID) guarantees they provide us:

  • The atomicity guarantee ensures that the group of queries is treated as a single unit – that is, a single interaction with the database – and that they all either succeed together or fail together
  • The consistency guarantee ensures that the queries transition the state in the database while...