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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

Summary

In this chapter, we learned about the basics of working with AWS CDK to create infrastructure resources using general-purpose programming languages. This approach to managing cloud infrastructure is particularly useful for teams who are used to working with CloudFormation, have experience using the service in an enterprise-grade environment, and would now like to take the next steps by utilizing different forms of abstraction.

We started this chapter by discussing various segments of AWS IaC tools and compared them with AWS CDK. Toward the end of this chapter, we deployed an automated image labeling system using Amazon Rekognition. This not only allowed us to learn a new service but at the same time recognize the benefits offered by high-level constructs that make infrastructure management much easier than working with raw YAML/JSON templates in CloudFormation.

In Chapter 7, Running Containers in AWS, we will delve into the relevance of containers in modern software development...

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