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AWS Automation Cookbook

By : Swaraj

3.2 (6)

Buy this Book

AWS Automation Cookbook

3.2 (6)

By: Swaraj

Buy this Book

Overview of this book

AWS CodeDeploy, AWS CodeBuild, and CodePipeline are scalable services offered by AWS that automate an application's build and deployment pipeline. In order to deliver tremendous speed and agility, every organization is moving toward automating their entire application pipeline. This book will cover all the AWS services required to automate your deployment to your instances. You'll begin by setting up and using one of the AWS services for automation –CodeCommit. Next, you'll learn how to build a sample Maven and NodeJS application using CodeBuild. After you've built the application, you'll see how to use CodeDeploy to deploy the application in EC2/Auto Scaling. You'll also build a highly scalable and fault tolerant Continuous Integration (CI)/Continuous Deployment (CD) pipeline using some easy-to-follow recipes. Following this, you'll achieve CI/CD for a microservice application and reduce the risk within your software development life cycle globally. You'll also learn to set up an infrastructure using CloudFormation templates and Ansible, and see how to automate AWS resources using AWS Lambda. Finally, you'll learn to automate instances in AWS and automate the deployment lifecycle of applications. By the end of this book, you'll be able to minimize application downtime and implement CI/CD, gaining total control over your software development lifecycle.

Preface

What this book covers

What you need for this book

Who this book is for

Sections

Conventions

Reader feedback

Customer support

Free Chapter

Using AWS CodeCommit

Introduction

Introducing VCS and Git

Introducing AWS CodeCommit - Amazon managed SaaS Git

Getting started with CodeCommit for HTTP users

Setting up CodeCommit for SSH users using AWS CLI

Applying security and restrictions

Migrating a Git repository to AWS CodeCommit

Building an Application using CodeBuild

Introduction

Introducing AWS CodeBuild

Building a Java application using Maven

Building a NodeJS application using yarn

Building a Maven application using AWS CodeBuild console

Building a sample NodeJS application using AWS CodeBuild via Buildspec.yml

Deploying Application using CodeDeploy & CodePipeline

Introduction

The Deployment strategy in AWS CodeDeploy

Writing an application-specific file

Deploying a static application in an EC2 instance from the S3 Bucket using AWS CodeDeploy

Introducing AWS CodePipeline and its working

Continuous Deployment of static application to AWS S3 using AWS CodePipeline

Building Scalable and Fault-Tolerant CI/CD Pipeline

Introduction

CI/CD pipeline workflow

Setting up AWS CodeCommit

Creating the S3 bucket and enabling versioning

Creating the launch configuration and Auto Scaling group

Creating AWS CodeDeploy application using the Auto Scaling group

Setting up the Jenkins Server and installing the required plugins

Integrating Jenkins with all of the AWS developers tools

Understanding Microservices and ECS

Introduction

Understanding microservices and their deployment

Playing around with Docker containers

Setting up AWS ECR and pushing an image into it

Understanding ECS and writing task definitions and services

Continuous Deployment to ECS Using Developer Tools and CloudFormation

Introduction

Understanding the architecture and workflow

Setting up the infrastructure to host the application

Setting Up CodeCommit for our application source

Creating a CodeBuild project for the build stage

Understanding the inside content of helper files (BuildSpec.yml, Dockerfile, and CF template)

Creating a CodePipeline using CodeCommit, CodeBuild, and CloudFormation

IaC Using CloudFormation and Ansible

Introduction

AWS CloudFormation and writing the CloudFormation template

Creating a production-ready web application infrastructure using CloudFormation

Automation with Ansible

Creating an AWS infrastructure using the Ansible EC2 dynamic inventory

Automating AWS Resource Control Using AWS Lambda

Introduction

Creating an AMIs of the EC2 instance using AWS lambda and CloudWatch

Sending notifications through SNS using Config and Lambda

Streaming and visualizing AWS CloudTrail logs in real time using Lambda with Kibana

Microservice Applications in Kubernetes Using Jenkins Pipeline 2.0

Introduction

Deploying multinode clusters on AWS using the Ansible playbook

Deploying a multinode production-ready cluster on AWS using Kops

Deploying a sample application on Kubernetes

Working with Kubernetes on AWS using AWS resources

Jenkins pipeline 2.0 (Pipeline as Code) using Jenkinsfile

Application deployment using Jenkinsfile

Deploying microservices applications in Kubernetes using Jenkinsfile

Best Practices and Troubleshooting Tips

Best practices with AWS CodeCommit

Troubleshooting with CodeCommit

Troubleshooting with CodeBuild

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Working with Kubernetes on AWS using AWS resources

We provisioned the Kubernetes cluster on AWS, therefore, we will try to integrate with AWS services wherever possible.

For storing docker images, we will use ECR; for LoadBalancer, we will use ELB; and for persistence storage, we will be using EBS. There are a couple of important points that needs to be taken care before implementing.

Each and every master and worker node should be attached with the IAM role that has the permission of AWS resources such as S3, EC2, VPC, Route53, and so on. But that's not enough, we also have to run the aws configure command, but we don't need to fill AccessKey and SecretKey but region name, because the key is for global purpose and to provision a resource we have to mention region name.
If a Kubernetes cluster is setup by kops or given an argument of --cloud-provider=aws in configuration...