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Hands-On Serverless Applications with Go
Hands-On Serverless Applications with Go

Hands-On Serverless Applications with Go: Build real-world, production-ready applications with AWS Lambda

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Hands-On Serverless Applications with Go

Getting Started with AWS Lambda

This chapter supplies guidelines for setting up an AWS environment alongside Go runtime and development environments. You'll be introduced to the powerful AWS CLI, which will make deploying serverless applications more efficient and increase your productivity immensely.

In addition, you will be given a set of tips and recommendations on how to choose your Go Integrated Development Environment (IDE).

Technical requirements

Before proceeding with the installation and configuration of the AWS and Go environments, it is recommended that you follow along with this chapter with on a laptop (Windows, Linux, or macOS X) with Python 2 version 2.6.5+ or Python 3 version 3.3+ preinstalled and an AWS account set up so you can easily execute the given commands. The code bundle for this chapter is hosted on GitHub at https://github.com/PacktPublishing/Hands-On-serverless-Applications-with-Go.

Setting up the AWS environment

This section will walk you through how to install and configure the AWS command line. The CLI is a solid and mandatory tool and it will be covered in upcoming chapters; it will save us substantial time by automating the deployment and configuration of Lambda functions and other AWS services.

The AWS command line

The AWS CLI is a powerful tool for managing your AWS services and resources from a terminal session. It was built on top of the AWS API, and hence everything that can be done through the AWS Management Console can be done with the CLI; this makes it a handy tool that can be used to automate and control your AWS infrastructure through scripts. Later chapters will provide information on...

Setting up the Go environment

This section will walk you through how to download and install Go on multiple platforms, how to build a simple Hello World application, and how to use an IDE to speed up your Go development. Along the way, you will become familiar with the Go commands that you will need to write Lambda functions in Go.

The runtime environment

Download the appropriate package for your operating system and architecture from the Go download page (https://golang.org/dl/):

  • For macOS X: Download the goVersion.darwin.amd64.pkg file and follow the installation prompt. You may need to restart any open Terminal sessions for the change to take effect.
  • For Windows: Download the MSI installer and follow the wizard. The installer...

Summary

In this chapter, we learned how to install, configure, and use the AWS CLI. This tool will be very helpful when it comes to managing AWS services and automating the deployment of Lambda functions. Then, we covered how to create a user and generate AWS credentials from IAM with the least amount of privilege necessary. That way, if your access keys end up in the wrong hands, there is a limited capability to do harm. Also, we learned how to set up the Go environment, with a step-by-step installation of Go for multiple platforms (Windows, macOS X, and Linux) and compiled our first Hello World application in Go. Along the way, we covered the most important commands in Go, which will help you follow later chapters with ease.

In the next chapter, we will finally get our hands dirty and write our first Lambda function in Go.

Questions

  1. Which format is not supported by the AWS CLI?
    • JSON
    • Table
    • XML
    • Text
  2. Is it recommended to use the AWS root account for everyday interaction with AWS? If yes, why?
  3. What environment variables do you need to set to use the AWS CLI?
  4. How do you use the AWS CLI with named profiles?
  5. Explain the GOPATH environment variable.
  6. Which command-line command compiles a program in Go?
    • go build
    • go run
    • go fmt
    • go doc
  7. What's the Go workspace?
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Key benefits

  • Implement AWS lambda to build scalable and cost-efficient applications in Go
  • Design and set the data flow between cloud services and custom business logic
  • Learn to design Lambda functions using real-world examples and implementation scenarios

Description

Serverless architecture is popular in the tech community due to AWS Lambda. Go is simple to learn, straightforward to work with, and easy to read for other developers; and now it's been heralded as a supported language for AWS Lambda. This book is your optimal guide to designing a Go serverless application and deploying it to Lambda. This book starts with a quick introduction to the world of serverless architecture and its benefits, and then delves into AWS Lambda using practical examples. You'll then learn how to design and build a production-ready application in Go using AWS serverless services with zero upfront infrastructure investment. The book will help you learn how to scale up serverless applications and handle distributed serverless systems in production. You will also learn how to log and test your application. Along the way, you'll also discover how to set up a CI/CD pipeline to automate the deployment process of your Lambda functions. Moreover, you'll learn how to troubleshoot and monitor your apps in near real-time with services such as AWS CloudWatch and X-ray. This book will also teach you how to secure the access with AWS Cognito. By the end of this book, you will have mastered designing, building, and deploying a Go serverless application.

Who is this book for?

This book is for Go developers who would like to learn about serverless architecture. Go programming knowledge is assumed. DevOps and Solution Architects who are interested in building serverless applications in Go can also choose this book.

What you will learn

  • Understand how AWS Lambda works and use it to create an application
  • Understand how to scaleup serverless applications
  • Design a cost-effective serverless application in AWS
  • Build a highly scalable and fault-tolerant CI/CD pipeline
  • Understand how to troubleshoot and monitor serverless apps in AWS
  • Discover the working of APIs and single page applications
  • Build a production-ready serverless application in Go

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Aug 29, 2018
Length: 416 pages
Edition : 1st
Language : English
ISBN-13 : 9781789133837
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Product Details

Publication date : Aug 29, 2018
Length: 416 pages
Edition : 1st
Language : English
ISBN-13 : 9781789133837
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Table of Contents

16 Chapters
Go Serverless Chevron down icon Chevron up icon
Getting Started with AWS Lambda Chevron down icon Chevron up icon
Developing a Serverless Function with Lambda Chevron down icon Chevron up icon
Setting up API Endpoints with API Gateway Chevron down icon Chevron up icon
Managing Data Persistence with DynamoDB Chevron down icon Chevron up icon
Deploying Your Serverless Application Chevron down icon Chevron up icon
Implementing a CI/CD Pipeline Chevron down icon Chevron up icon
Scaling Up Your Application Chevron down icon Chevron up icon
Building the Frontend with S3 Chevron down icon Chevron up icon
Testing Your Serverless Application Chevron down icon Chevron up icon
Monitoring and Troubleshooting Chevron down icon Chevron up icon
Securing Your Serverless Application Chevron down icon Chevron up icon
Designing Cost-Effective Applications Chevron down icon Chevron up icon
Infrastructure as Code Chevron down icon Chevron up icon
Assessments Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Full star icon Full star icon 5
(1 Ratings)
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1 star 0%
Cyril Allard Feb 02, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Ce livre demande d'avoir quelques bases en code, mais il est très didactique et très clair sur les problématiques infra. Cela permet de voir de nombreux aspects d'AWS + du server less assez rapidement. On ne creuse forcément pas les sujets, mais on se donne les moyens de les comprendre et de les creuser par soi-même.
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