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Expert AWS Development

Expert AWS Development

By : Atul Mistry
3.4 (5)
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Expert AWS Development

Expert AWS Development

3.4 (5)
By: Atul Mistry

Overview of this book

Expert AWS Development begins with the installation of the AWS SDK and you will go on to get hands-on experience of creating an application using the AWS Management Console and the AWS Command Line Interface (CLI). Then, you will integrate applications with AWS services such as DynamoDB, Amazon Kinesis, AWS Lambda, Amazon SQS, and Amazon SWF. Following this, you will get well versed with CI/CD workflow and work with four major phases in the release process – Source, Build, Test, and Production. Then, you will learn to apply AWS Developer tools to your Continuous Integration (CI) and Continuous Deployment (CD) workflow. Later, you will learn about user authentication using Amazon Cognito, and also how you can evaluate the best architecture as per your infrastructure costs. You will learn about Amazon EC2 service and will deploy an app using it. You will also deploy a practical real-world example of a CI/CD application with the Serverless Application Framework, which is known as AWS Lambda. Finally, you will learn how to build, develop, and deploy the Application using AWS Developer tools such as AWS CodeCommit, AWS CodeBuild, AWS CodeDeploy, and AWS CodePipeline, as per your project requirements.
Table of Contents (12 chapters)
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AWS Serverless Application Model (SAM)


Serverless applications can be defined by AWS SAM. Previously, it was known as project flourish. Natively, AWS SAM is supported by AWS CloudFormation. It expresses resources for serverless applications with simple syntax. AWS SAM with AWS CloudFormation can define AWS Lambda functions, APIs, and Amazon DynamoDB tables, which are needed by a serverless application in a simple way. With CloudFormation templates, you can define serverless resources with a few lines of code. Two new commands have also been introduced to AWS CloudFormation CLI that will simplify packaging serverless applications and deploying with AWS CloudFormation.

To deploy the application, you need to specify the resources, along with the permission policy in the AWS CloudFormation template file, which is written in YAML or JSON, a package that deploys artifacts, and finally, deploys the templates. A SAM file or template is referred by the AWS SAM model as an AWS CloudFormation template...

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