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)
Part 1 Driving Transformation through AWS and DevOps
Part 2 Faster Software Delivery with Consistent and Reproducible Environments
Part 3 Security and Observability of Containerized Workloads
Part 4 Taking the Next Steps

AWS services that support running containers in the cloud

It mainly comes down to the trade-offs between the level of control and ease of operations. Depending on the needs of your workloads and your teams’ comfort with containerization, you might decide to choose one of the three AWS offerings discussed in this section.

AWS Elastic Compute Cloud (EC2)

Organizations that prefer to have maximum control and visibility of the container workloads may decide to run the entire stack on their own, in the compute instances provided by AWS. Technically speaking, nothing stops them from using tools such as Docker Compose, Docker Swarm, or even standard Docker clients to manage multiple containers within an EC2 instance. However, the broader question they should answer is whether they want to invest in developing orchestration at this level for productive use cases that quickly expand beyond the scope of what a single EC2 instance can manage. More often than not, the answer is no...