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

AIOps using Amazon DevOps Guru

AWS has been hearing customers' feedback and acting on it by providing amazing managed services. One of the recently launched AWS services is Amazon DevOps Guru, which is powered by ML to improve an application's operational performance and availability. It helps detect behaviors that act differently from normal operating patterns so that you can easily identify operational issues long before they impact your application.

DevOps Guru uses ML models built on information that has been collected by years of Amazon and AWS operation excellence to identify anomalous application behavior (for example, resource constraints, error rates, and increased latency) and raise critical issues beforehand so that they do not cause any potential outages or service disruptions. Once DevOps Guru identifies an issue, it automatically sends an alert and provides information and a summary related to anomalies, root cause, timestamp, and the location where the issue...