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Implementing AWS: Design, Build, and Manage your Infrastructure.

You're reading from   Implementing AWS: Design, Build, and Manage your Infrastructure. Leverage AWS features to build highly secure, fault-tolerant, and scalable cloud environments

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Product type Course
Published in Jan 2019
Publisher Packt
ISBN-13 9781788835770
Length 690 pages
Edition 1st Edition
Tools
Concepts
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Authors (4):
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Yohan Wadia Yohan Wadia
Author Profile Icon Yohan Wadia
Yohan Wadia
Lucas Chan Lucas Chan
Author Profile Icon Lucas Chan
Lucas Chan
Udita Gupta Udita Gupta
Author Profile Icon Udita Gupta
Udita Gupta
Rowan Udell Rowan Udell
Author Profile Icon Rowan Udell
Rowan Udell
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Toc

Table of Contents (29) Chapters Close

Title Page
Copyright and Credits
About Packt
Contributors
Preface
1. What is New in AWS? FREE CHAPTER 2. Managing EC2 with Systems Manager 3. Introducing Elastic Beanstalk and Elastic File System 4. Securing Workloads Using AWS WAF 5. Governing Your Environments Using AWS CloudTrail and AWS Config 6. Access Control Using AWS IAM and AWS Organizations 7. Transforming Application Development Using the AWS Code Suite 8. Powering Analytics Using Amazon EMR and Amazon Redshift 9. Orchestrating Data using AWS Data Pipeline 10. Managing AWS Accounts 11. Using AWS Compute 12. Management Tools 13. Database Services 14. Introducing AWS Lambda 15. Writing Lambda Functions 16. Testing Lambda Functions 17. Event-Driven Model 18. Extending AWS Lambda with External Services 19. Build and Deploy Serverless Applications with AWS Lambda 20. Monitoring and Troubleshooting AWS Lambda 21. AWS Lambda - Use Cases 22. Next Steps with AWS Lambda 1. Other Books You May Enjoy Index

Introducing AWS CodePipeline


AWS CodePipeline is a continuous delivery service that you can use to model, visualize, and automate the steps required to release your application software. This is made possible by building pipelines that contain one or more stages. The stages can be broadly classified as build, where the code is compiled and built using, say, AWS CodeBuild or some other third-party tool, staging, and deployment, where the code is pushed on to compute instances using AWS CodeDeploy, and so on. Each stage internally describes a set of actions that it needs to perform in order to prepare the software for its release. This action can be anything from building your source code from a Git repository, to making changes to a file, or deploying packages, and so on. Every change made to either your code or some configurational setting within CodePipeline is considered as a revision and you can have multiple such revisions created within a single stage of a pipeline.

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