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Accelerating DevSecOps on AWS

You're reading from   Accelerating DevSecOps on AWS Create secure CI/CD pipelines using Chaos and AIOps

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Product type Paperback
Published in Apr 2022
Publisher Packt
ISBN-13 9781803248608
Length 520 pages
Edition 1st Edition
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Author (1):
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Nikit Swaraj Nikit Swaraj
Author Profile Icon Nikit Swaraj
Nikit Swaraj
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Table of Contents (15) Chapters Close

Preface 1. Section 1:Basic CI/CD and Policy as Code
2. Chapter 1: CI/CD Using AWS CodeStar FREE CHAPTER 3. Chapter 2: Enforcing Policy as Code on CloudFormation and Terraform 4. Chapter 3: CI/CD Using AWS Proton and an Introduction to AWS CodeGuru 5. Section 2:Chaos Engineering and EKS Clusters
6. Chapter 4: Working with AWS EKS and App Mesh 7. Chapter 5: Securing Private EKS Cluster for Production 8. Chapter 6: Chaos Engineering with AWS Fault Injection Simulator 9. Section 3:DevSecOps and AIOps
10. Chapter 7: Infrastructure Security Automation Using Security Hub and Systems Manager 11. Chapter 8: DevSecOps Using AWS Native Services 12. Chapter 9: DevSecOps Pipeline with AWS Services and Tools Popular Industry-Wide 13. Chapter 10: AIOps with Amazon DevOps Guru and Systems Manager OpsCenter 14. Other Books You May Enjoy

The concept of, and need for, chaos engineering

In the past, or still somewhere within the finance industry, software systems used to run in an on-premises or controlled environment with the help of an army of system administrators. Today, in the era of the cloud, migration to the cloud is relentless. Software systems are no longer monolithic but uncoupled in the form of microservices. The new and advanced distributed modern IT infrastructure requires robust systems thinking and reliability engineering to ensure that systems are always up and running. Downtime is no longer an option and may impact businesses. To make sure that these systems don't fail or increase the resiliency of these systems, the discipline of chaos engineering emerged.

This is how the chaos community defines chaos engineering:

"Chaos engineering is the discipline of experimenting on a system to build confidence in the system's capability to withstand turbulent conditions in production.&quot...

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