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Microservices with Go

Microservices with Go

By : Alexander Shuiskov
5 (6)
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Microservices with Go

Microservices with Go

5 (6)
By: Alexander Shuiskov

Overview of this book

This book covers the key benefits and common issues of microservices, helping you understand the problems microservice architecture helps to solve, the issues it usually introduces, and the ways to tackle them. You’ll start by learning about the importance of using the right principles and standards in order to achieve the key benefits of microservice architecture. The following chapters will explain why the Go programming language is one of the most popular languages for microservice development and lay down the foundations for the next chapters of the book. You’ll explore the foundational aspects of Go microservice development including service scaffolding, service discovery, data serialization, synchronous and asynchronous communication, deployment, and testing. After covering the development aspects, you’ll progress to maintenance and reliability topics. The last part focuses on more advanced topics of Go microservice development including system reliability, observability, maintainability, and scalability. In this part, you’ll dive into the best practices and examples which illustrate how to apply the key ideas to existing applications, using the services scaffolded in the previous part as examples. By the end of this book, you’ll have gained hands-on experience with everything you need to develop scalable, reliable and performant microservices using Go.
Table of Contents (19 chapters)
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1
Part 1: Introduction
3
Part 2: Foundation
12
Part 3: Maintenance

Setting up Prometheus alerting for our microservices

In this section, we will illustrate how to set up service alerting using Prometheus and its alerting extension, Alertmanager, for the services we created in previous chapters. You will learn how to expose the service metrics for collection, how to set up Prometheus and Alertmanager to aggregate and store the metrics from multiple services, and how to define and process service alerts.

Our high-level approach is as follows:

  1. Set up Prometheus metric reporting to our services.
  2. Install Prometheus and configure it to scrape the data from the three example services that we created in previous chapters.
  3. Configure service availability alerts using Alertmanager.
  4. Test our alerts by triggering an alerting condition and running Alertmanager.

Let’s start by illustrating how to integrate our services with Prometheus. To do this, we need to add a metric collection to our services by exposing an endpoint that...

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