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AWS Certified Developer - Associate Guide

You're reading from   AWS Certified Developer - Associate Guide Your one-stop solution to passing the AWS developer's 2019 (DVA-C01) certification

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Product type Paperback
Published in Jun 2019
Publisher Packt
ISBN-13 9781789617313
Length 812 pages
Edition 2nd Edition
Tools
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Authors (2):
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Bhavin Parmar Bhavin Parmar
Author Profile Icon Bhavin Parmar
Bhavin Parmar
Vipul Tankariya Vipul Tankariya
Author Profile Icon Vipul Tankariya
Vipul Tankariya
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Toc

Table of Contents (30) Chapters Close

Preface 1. Overview of AWS Certified Developer - Associate Certification FREE CHAPTER 2. Understanding the Fundamentals of Amazon Web Services 3. Identity and Access Management (IAM) 4. Virtual Private Clouds 5. Getting Started with Elastic Compute Cloud (EC2) 6. Handling Application Traffic with ELB 7. Monitoring with CloudWatch 8. Simple Storage Service, Glacier, and CloudFront 9. Other AWS Storage Options 10. AWS Relational Database Service 11. AWS DynamoDB - A NoSQL Database Service 12. Amazon Simple Queue Service (SQS) 13. Simple Notification Service (SNS) 14. AWS Simple Workflow Service (SWF) 15. CloudFormation Overview 16. Understanding Elastic Beanstalk 17. Overview of AWS Lambda 18. Key Management Services 19. Working with AWS Kinesis 20. Working with AWS CodeBuild 21. Getting Started with AWS CodeDeploy 22. Working with AWS CodePipeline 23. CI/CD on AWS 24. Serverless Computing 25. Amazon Route 53 26. ElastiCache Overview 27. Mock Tests 28. Assessments 29. Another Book You May Enjoy

Understanding CI/CD

So far, we have seen various individual AWS web services for DevOps, such as CodeCommit, CodeBuild, CodeDeploy, and CodePipeline. Respectively, these AWS services act as a source code repository and continuous integration service that is responsible for compiling source code, running tests, and producing software packages that are ready to deploy. The deployment service can automate software deployment on various AWS compute services and on-premises servers, and automate the build, test, and deploy phases for the release process.

To implement an Agile process and DevOps culture in the enterprise's IT, manually moving code from development to production may be time consuming and error prone. Also, in the case of failure at any step, it may be time consuming to undo the change and restore the previous stable version. If such an error occurs in a production...

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