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

Summary

In this chapter, we covered observability by describing various techniques for analyzing the real-time performance of Go microservices and covering the main types of service telemetry data, such as logs, metrics, and traces. You learned about some of the best practices for performing logging, metric collection, and distributed tracing. We demonstrated how you can instrument your Go services to collect the telemetry data, as well as how to set up the tooling for distributed tracing. We also provided some examples of tracing the requests spanning three of the services that we implemented earlier in this book.

The knowledge that you gained in this chapter should help you debug various performance issues of your microservices, as well as enable monitoring of various types of telemetry data. In Chapter 12, we will demonstrate how to use the collected telemetry data to set up service alerting for detecting service-related incidents as quickly as possible.