Book Image

Accelerating DevSecOps on AWS

By : Nikit Swaraj
Book Image

Accelerating DevSecOps on AWS

By: Nikit Swaraj

Overview of this book

Continuous integration and continuous delivery (CI/CD) has never been simple, but these days the landscape is more bewildering than ever; its terrain riddled with blind alleys and pitfalls that seem almost designed to trap the less-experienced developer. If you’re determined enough to keep your balance on the cutting edge, this book will help you navigate the landscape with ease. This book will guide you through the most modern ways of building CI/CD pipelines with AWS, taking you step-by-step from the basics right through to the most advanced topics in this domain. The book starts by covering the basics of CI/CD with AWS. Once you’re well-versed with tools such as AWS Codestar, Proton, CodeGuru, App Mesh, SecurityHub, and CloudFormation, you’ll focus on chaos engineering, the latest trend in testing the fault tolerance of your system. Next, you’ll explore the advanced concepts of AIOps and DevSecOps, two highly sought-after skill sets for securing and optimizing your CI/CD systems. All along, you’ll cover the full range of AWS CI/CD features, gaining real-world expertise. By the end of this AWS book, you’ll have the confidence you need to create resilient, secure, and performant CI/CD pipelines using the best techniques and technologies that AWS has to offer.

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Table of Contents (15 chapters)
Preface
Preface
Who this book is for
What this book covers
To get the most out of this book
Download the example code files
Conventions used
Get in touch
Share Your Thoughts
1
Section 1:Basic CI/CD and Policy as Code
Section 1:Basic CI/CD and Policy as Code
Free Chapter
2
Chapter 1: CI/CD Using AWS CodeStar
Chapter 1: CI/CD Using AWS CodeStar
Technical requirements
Introduction to CI/CD, along with a branching strategy
Creating a project in AWS CodeStar
Creating feature and development branches, as well as an environment
Validating PRs/MRs into the develop branch from the feature branch via CodeBuild and AWS Lambda
Adding a production stage and environment
Summary
3
Chapter 2: Enforcing Policy as Code on CloudFormation and Terraform
Chapter 2: Enforcing Policy as Code on CloudFormation and Terraform
Technical requirements
Implementing policy and governance as code on infrastructure code
Using CloudFormation Guard to enforce compliance rules on CloudFormation templates
Using AWS Service Catalog across teams with access controls and constraints
Integrating Terraform Cloud with GitHub
Running a Terraform template in Terraform Cloud
Writing Sentinel policies to enforce rules on Terraform templates
Summary
4
Chapter 3: CI/CD Using AWS Proton and an Introduction to AWS CodeGuru
Chapter 3: CI/CD Using AWS Proton and an Introduction to AWS CodeGuru
Technical requirements
Introduction to the AWS Proton service
Creating the environment template bundle
Creating the service template bundle
Deploying the containerized application by creating a service instance in Proton
Introduction to Amazon CodeGuru
Integrating CodeGuru with AWS CodeCommit and analyzing the pull request report
Summary
5
Section 2:Chaos Engineering and EKS Clusters
Section 2:Chaos Engineering and EKS Clusters
6
Chapter 4: Working with AWS EKS and App Mesh
Chapter 4: Working with AWS EKS and App Mesh
Technical requirements
Deep diving into AWS EKS
Deploying an EKS cluster
Introducing AWS App Mesh
Implementing traffic management
Getting observability using X-Ray
Enabling mTLS authentication between services
Summary
7
Chapter 5: Securing Private EKS Cluster for Production
Chapter 5: Securing Private EKS Cluster for Production
Technical requirements
Planning your fully private EKS cluster
Creating your EKS cluster
Deploying add-ons
Enabling the App Mesh sidecar injector
Kubernetes hardening guidance using Kubescape
Policy and governance using OPA Gatekeeper
Deploying a stateful application using Helm
Backup and restore using Velero
Summary
8
Chapter 6: Chaos Engineering with AWS Fault Injection Simulator
Chapter 6: Chaos Engineering with AWS Fault Injection Simulator
Technical requirements
The concept of, and need for, chaos engineering
Chaos engineering in CI/CD
Experimenting with AWS FIS on multiple EC2 instances with a terminate action
Experimenting with AWS FIS on EC2 instances with a CPU stress action
Experimenting with AWS FIS on RDS with a reboot and failover action
Experimenting with AWS FIS on an EKS cluster worker node
Summary
9
Section 3:DevSecOps and AIOps
Section 3:DevSecOps and AIOps
10
Chapter 7: Infrastructure Security Automation Using Security Hub and Systems Manager
Chapter 7: Infrastructure Security Automation Using Security Hub and Systems Manager
Technical requirements
Introduction to AWS Security Hub
Deny execution of non-compliant images on EKS using AWS Security Hub and ECR
Importing an AWS Config rules evaluation as a finding in Security Hub
Integrating AWS Systems Manager with Security Hub to detect issues, create an incident, and remediate automatically
Summary
11
Chapter 8: DevSecOps Using AWS Native Services
Chapter 8: DevSecOps Using AWS Native Services
Technical requirements
Strategy and planning for a CI/CD pipeline
Creating a CodeCommit repository for microservices
Creating PR CodeBuild stages with CodeGuru Reviewer
Creating a development CodePipeline project with image scanning and an EKS cluster
Creating a staging CodePipeline project with mesh deployment and chaos testing with AWS FIS
Creating a production CodePipeline project with canary deployment and its analysis using Grafana
Summary
12
Chapter 9: DevSecOps Pipeline with AWS Services and Tools Popular Industry-Wide
Chapter 9: DevSecOps Pipeline with AWS Services and Tools Popular Industry-Wide
Technical requirements
DevSecOps in CI/CD and some terminology
Introduction to and concepts of some security tools
Planning for a DevSecOps pipeline
Using a security advisory plugin and a pre-commit hook
Prerequisites for a DevSecOps pipeline
Installation of DAST and RASP tools
Integration with DevOps Guru
Creating a CI/CD pipeline using CloudFormation
Testing and validating SAST, DAST, Chaos Simulation, Deployment, and RASP
Summary
13
Chapter 10: AIOps with Amazon DevOps Guru and Systems Manager OpsCenter
Chapter 10: AIOps with Amazon DevOps Guru and Systems Manager OpsCenter
Technical requirements
AIOps and how it helps in IT operations
AIOps using Amazon DevOps Guru
Enabling DevOps Guru on EKS cluster resources
Injecting a failure and then reviewing the insights
Deploying a serverless application and enabling DevOps Guru
Integrating DevOps Guru with Systems Manager OpsCenter
Injecting a failure and then reviewing the insights
Summary
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14
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Chapter 1: CI/CD Using AWS CodeStar

This chapter will first introduce you to the basic concepts of Continuous Integration/Continuous Deployment (or Continuous Delivery) (CI/CD) and a branching strategy. Then, we will implement basic CI/CD for a sample Node.js application using Amazon Web Services (AWS) CodeStar, which will deploy the application in Elastic Beanstalk. We will begin by creating a CodeStar project, then we will enhance it by adding develop and feature branches in a CodeCommit repository. We will also add a manual approval process as well as a production stage in CodePipeline. We will also spin up the production environment (modifying a CloudFormation template) so that the production stage of the pipeline can deploy the application. After that, we will create two lambda functions that will validate the Pull Request (PR) raised from the feature branch to develop branch, by getting the status of the CodeBuild project. Doing this entire activity will give you an overall idea of AWS Developer Tools (CodeCommit, CodeBuild, and CodePipeline) and how to implement a cloud-native CI/CD pipeline.

In this chapter, we are going to cover the following main topics:

  • Introduction to CI/CD, along with a branching strategy
  • Creating a project in AWS CodeStar
  • Creating feature and development branches, as well as an environment
  • Validating PRs/Merge Requests (MRs) into the develop branch from the feature branch via CodeBuild and AWS Lambda
  • Adding a production stage and environment
Previous Section
End of Section 1
Next Section