Book Image

AWS DevOps Simplified

By : Akshay Kapoor
Book Image

AWS DevOps Simplified

By: Akshay Kapoor

Overview of this book

DevOps and AWS are the two key enablers for the success of any modern software-run business. DevOps accelerates software delivery, while AWS offers a plethora of services, allowing developers to prioritize business outcomes without worrying about undifferentiated heavy lifting. This book focuses on the synergy between them, equipping you with strong foundations, hands-on examples, and a strategy to accelerate your DevOps journey on AWS. AWS DevOps Simplified is a practical guide that starts with an introduction to AWS DevOps offerings and aids you in choosing a cloud service that fits your company's operating model. Following this, it provides hands-on tutorials on the GitOps approach to software delivery, covering immutable infrastructure and pipelines, using tools such as Packer, CDK, and CodeBuild/CodeDeploy. Additionally, it provides you with a deep understanding of AWS container services and how to implement observability and DevSecOps best practices to build and operate your multi-account, multi-Region AWS environments. By the end of this book, you’ll be equipped with solutions and ready-to-deploy code samples that address common DevOps challenges faced by enterprises hosting workloads in the cloud.
Table of Contents (19 chapters)
1
Part 1 Driving Transformation through AWS and DevOps
5
Part 2 Faster Software Delivery with Consistent and Reproducible Environments
9
Part 3 Security and Observability of Containerized Workloads
13
Part 4 Taking the Next Steps

Rolling out a test CI/CD workflow for DevSecOps

To put things into practice, we’ll deploy a test pipeline in an AWS account to demonstrate the usage of various tools (AWS and open source) from a security perspective. More concretely, let’s consider a requirement that almost every modern software development team needs to address – securely delivering Docker images at scale. In real-life scenarios, you should consider deploying the output artifacts (Docker images) from such workflows to dedicated test environments where DAST investigations can be performed. This is particularly useful before deploying the image into subsequent environments (pre-prod, prod, and so on).

To have a visual mind map of what we are going to build, let’s dive into the details with an architecture diagram that highlights the end-to-end flow.

Understanding the target architecture of the DevSecOps pipeline

A pipeline definition in AWS CodePipeline consists of at least two stages...