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

Using MySQL to store our service data

In this section, we are going to provide a brief overview of MySQL and demonstrate how to write and read data from the microservices that we created in the previous chapters.

MySQL is an open source relational database that was created in 1995 and since then has become one of the top-used databases across the development industry, according to DB-Engines ranking (https://db-engines.com/en/ranking). It stores data as a set of tables, each consisting of rows and columns of predefined types (such as string, numeric, binary, or more), and allows to data via SQL queries. For example, assume you have the following data, stored as a table called movies:

id

title

director

922

New York Stories

John Jones

1055

Christmas Day

...