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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

Summary

In this final chapter, we learned about monitoring and observability. We were introduced to the OpenTelemetry library and learned about its goals of making applications observable easier. We also learned about distributed tracing and how it is one of the three pillars of observability.

Later, we added both distributed tracing and metrics to the application using OpenTelemetry and Prometheus. With a little work, both forms of instrumentation were added to the application. To demonstrate this new instrumentation, we made use of a small application to simulate users making requests while we were free to view the recorded data in either Jaeger or Prometheus.

This chapter concludes the adventure we started, which involved taking a synchronous application and refactoring it to turn it into a fully asynchronous application that could be deployed to AWS and be completely observable.

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