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AWS DevOps Simplified

AWS DevOps Simplified

By : Akshay Kapoor
5 (7)
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AWS DevOps Simplified

AWS DevOps Simplified

5 (7)
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)
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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

Different approaches to managing infrastructure in AWS

Many years back, when I was starting with infrastructure automation on AWS, I used to bundle together some CLI commands in a Bash script and fire it off when new AWS accounts required bootstrapping. It worked like a charm for basic setups but surfaced limitations in other areas such as ongoing management, updates, stack removals, extracting resource identifiers, and so on. Every requirement would transform into more scripts being developed and managed, which of course was not a scalable solution.

Secondly, it was difficult for other team members to contribute to these scripts as they didn’t have an operations or scripting background. This is where something more declarative such as AWS CloudFormation/Terraform could have helped them easily get started. There will always be a tipping point in your AWS infrastructure automation journey where you would like to switch from one approach to another as your needs outgrow the...

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