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

Introduction to Amazon CodeGuru

In the software development life cycle, a code review process takes place when all the developers write their code and raise a pull request to merge to an upstream branch. The code review is generally done by the team leader of the project, but it could be a slow process to eyeball the entire code. The code review process is important, but it shouldn't increase the workload for reviewers and become a bottleneck in development. By using code review tools, we can automate the process of reviewing the code. Some famous tools in the market do this magic for us, such as SonarQube. Recently, Amazon launched a new service called Amazon CodeGuru, which can perform code reviews as well as provide application performance. This not only helps in improving the reliability of the software but also lets us dig deep and cut down on the time spent finding difficult issues, such as sensitive data, race conditions, undefined functions, and slow resource leaks.

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