Book Image

Event-Driven Architecture in Golang

By : Stack
5 (1)
Book Image

Event-Driven Architecture in Golang

5 (1)
By: 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 are monitoring and observability?

Most deployments perform monitoring using logging and metrics. This allows an organization to track the application’s performance, usage, and health. It is also used to detect failure states in an application. Monitoring is about reacting to the analysis of the data that is being collected:

Figure 12.1 – Basic monitoring of a service

Some examples of monitoring include the following:

  • Kubernetes checking whether a container is still running or responding by performing a health check
  • Tracking the query performance when swapping out one database for another
  • Automatically scaling services based on the CPU and memory usage
  • Sending alerts when the error rate of an endpoint exceeds a certain threshold

The data that is produced from your monitoring efforts is fed into dashboards so that basic questions can be answered. The data is also used to configure alerts so that when a problem is...