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

Profiling Go services

In this section, we are going to review a technique called profiling, which involves collecting real-time performance data of a running process, such as a Go service. Profiling is a powerful technique that can help you analyze various types of service performance data:

  • CPU usage: Which operations used the most CPU power and what was the distribution of CPU usage among them?
  • Heap allocation: Which operations used heap (dynamic memory allocated in Go applications) and what amount of memory was used?
  • Call graph: In which order were service functions executed?

Profiling may help you in different situations:

  • Identifying CPU-intensive logic: At some point, you may notice that your service is consuming most of your CPU power. To understand this problem, you can collect the CPU profile – a graph showing the CPU usage of various service components, such as individual functions. Components that consume too much CPU power may indicate...