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

Creating microservice dashboards

In the previous two chapters, we reviewed various ways of working with service metrics. In Chapter 11, we demonstrated how to collect the service metrics, while in Chapter 12, we showed you how to aggregate and query them using the Prometheus tool. In this section, we will describe one more way of accessing the metrics data that can help you explore your metrics and plot them as charts. The technique that we will cover is called dashboarding and is useful for visualizing various service metrics.

Let’s provide an example of a dashboard – a set of charts representing different metrics. The following figure shows the dashboard of a Go service containing some system-level metrics, such as the goroutine count, the number of Go threads, and allocated memory size:

Figure 13.3 – Go process dashboard example from the Grafana tool

Dashboards help visualize various types of data, such as time series datasets, allowing...