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.
Table of Contents (15 chapters)
1
Section 1:Basic CI/CD and Policy as Code
5
Section 2:Chaos Engineering and EKS Clusters
9
Section 3:DevSecOps and AIOps

Chapter 10: AIOps with Amazon DevOps Guru and Systems Manager OpsCenter

This chapter will introduce you to the concepts of artificial intelligence (AI) and machine learning (ML). We will also learn about AIOps, why we need it, and how it is applied to IT operations. We will cover some of the areas where AIOps can be helpful. We will learn about the AWS DevOps Guru AIOps tool and implement two use cases. We will deploy a serverless application and inject some failure, and then analyze the insights and remediation provided by Amazon DevOps Guru. Then, another use case will be covered about identifying anomalies in CPU, memory, and networking within an Elastic Container Service for Kubernetes (EKS) cluster.

This chapter contains the following main sections:

  • AIOps and how it helps in IT operations
  • AIOps using Amazon DevOps Guru
  • Enabling DevOps Guru on EKS cluster resources
  • Injecting failure and then reviewing the insights
  • Deploying a serverless application and...