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Building Distributed Applications in Gin

Building Distributed Applications in Gin

By : Mohamed Labouardy
4.4 (14)
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Building Distributed Applications in Gin

Building Distributed Applications in Gin

4.4 (14)
By: Mohamed Labouardy

Overview of this book

Gin is a high-performance HTTP web framework used to build web applications and microservices in Go. This book is designed to teach you the ins and outs of the Gin framework with the help of practical examples. You’ll start by exploring the basics of the Gin framework, before progressing to build a real-world RESTful API. Along the way, you’ll learn how to write custom middleware and understand the routing mechanism, as well as how to bind user data and validate incoming HTTP requests. The book also demonstrates how to store and retrieve data at scale with a NoSQL database such as MongoDB, and how to implement a caching layer with Redis. Next, you’ll understand how to secure and test your API endpoints with authentication protocols such as OAuth 2 and JWT. Later chapters will guide you through rendering HTML templates on the server-side and building a frontend application with the React web framework to consume API responses. Finally, you’ll deploy your application on Amazon Web Services (AWS) and learn how to automate the deployment process with a continuous integration and continuous delivery (CI/CD) pipeline. By the end of this Gin book, you will be able to design, build, and deploy a production-ready distributed application from scratch using the Gin framework.
Table of Contents (16 chapters)
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1
Section 1: Inside the Gin Framework
3
Section 2: Distributed Microservices
9
Section 3: Beyond the Basics

Monitoring server-side metrics

So far, you have learned how to monitor application-side metrics by instrumenting the Gin application code. In this section, you will learn how to expose server-side metrics and monitor the overall health of the containers running on the Gin distributed web application.

To collect server-side metrics, you can use an open source solution called Telegraf (https://github.com/influxdata/telegraf), a data collection agent (DCA) that can collect metrics from multiple inputs and forward them to different sources:

Figure 10.16 – Collecting server-side metrics with the Telegraf agent

Telegraf can be easily deployed using Docker. Add the following code block to docker-compose.yml:

telegraf:
   image: telegraf:latest
   volumes:
     - ./telegraf.conf:/etc/telegraf/telegraf.conf
     - /var/run/docker.sock:/var/run/docker.sock 

telegraf.conf contains a list of data...

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