Book Image

Microservices with Go

By : Alexander Shuiskov
Book Image

Microservices with Go

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)
1
Part 1: Introduction
3
Part 2: Foundation
12
Part 3: Maintenance

Introduction to Prometheus

In Chapter 11, we mentioned a popular open source alerting and monitoring tool called Prometheus that can collect service metrics and set up automated alerts based on the metric data. In this section, we will demonstrate how to use Prometheus to set up alerts for our microservices.

Let’s summarize our learning about Prometheus from Chapter 11:

  • Prometheus allows us to collect and store service metrics in the form of a time series.
  • There are three types of metrics – counters, histograms, and gauges.
  • To query metrics data, Prometheus offers a query language called PromQL.
  • Service alerts can be configured using a tool called Alertmanager.

Metrics can be imported from service instances into Prometheus in two different ways:

  • Scraping: Prometheus reads metrics from service instances.
  • Pushing: The service instance sends metrics to Prometheus using a dedicated service, the Prometheus Pushgateway.

Scraping...