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  • Book Overview & Buying Expert AWS Development
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Expert AWS Development

Expert AWS Development

By : Atul Mistry
3.4 (5)
Buy this Book
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Expert AWS Development

Expert AWS Development

3.4 (5)
By: Atul Mistry
Buy this Book

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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Preface
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Preface
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Who this book is for
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What this book covers
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To get the most out of this book
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Get in touch
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1
AWS Tools and SDKs
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AWS Tools and SDKs
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Brief introduction to AWS tools and SDKs
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AWS SDKs for IoT devices
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Summary
2
Integrating Applications with AWS Services
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Integrating Applications with AWS Services
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Amazon DynamoDB
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Amazon Kinesis
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Amazon SQS
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Summary
3
Continuous Integration and Continuous Deployment Workflow
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Continuous Integration and Continuous Deployment Workflow
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An overview of DevOps
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Continuous Integration – maintaining code repository
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Continuous Delivery – automating build and self-testing
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Continuous Deployment – automating production deployment
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Tools used for DevOps processes
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CI/CD on AWS
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Summary
4
CI/CD in AWS Part 1 – CodeCommit, CodeBuild, and Testing
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CI/CD in AWS Part 1 – CodeCommit, CodeBuild, and Testing
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A brief overview of AWS for DevOps
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AWS CodeCommit – maintaining code repository
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AWS CodeBuild – automating the build
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Summary
5
CI/CD in AWS Part 2 – CodeDeploy, CodePipeline, and CodeStar
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CI/CD in AWS Part 2 – CodeDeploy, CodePipeline, and CodeStar
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AWS CodeDeploy
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AWS CodePipeline
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AWS CodeStar
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AWS X-Ray
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Summary
6
User Authentication with AWS Cognito
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User Authentication with AWS Cognito
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Amazon Cognito benefits
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Amazon Cognito features
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Summary
7
Evaluating the Best Architecture
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Evaluating the Best Architecture
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The comparison of traditional web hosting versus web hosting on the cloud using AWS
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AWS Well-Architected framework
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Amazon EC2 instance and Elastic Load Balancer
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Elastic Load Balancing
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Docker with the Amazon EC2 Container Service (Amazon ECS)
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Containers
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Amazon ECS
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Serverless architecture with Lambda
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Use cases for different architectures
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Controlling and optimizing costs
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Summary
8
Traditional Web Hosting – Amazon EC2 and Elastic Load Balancing
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Traditional Web Hosting – Amazon EC2 and Elastic Load Balancing
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Amazon EC2 best practices
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Troubleshooting instances
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Elastic Load Balancing, auto scaling, and fault tolerant
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Monitoring and optimizing the cost of the EC2 infrastructure
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Continuous Integration and Continuous Deployment workflow
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Summary
9
Amazon EC2 Container Service
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Amazon EC2 Container Service
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Docker
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Container instances
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Amazon ECS clusters
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Scheduling tasks
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Monitoring and optimizing the cost of the infrastructure
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Continuous Integration (CI) and Continuous Deployment (CD) Workflow
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Summary
10
Amazon Lambda – AWS Serverless Architecture
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Amazon Lambda – AWS Serverless Architecture
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Microservices architecture
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Lambda and Lambda@Edge advanced topics and best practices
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Best practices for working with AWS Lambda functions
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Lambda@Edge
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AWS Serverless Application Model (SAM)
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Monitoring and optimizing the cost of the infrastructure
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CI and CD workflow
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Summary
11
Other Books You May Enjoy
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Other Books You May Enjoy
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Leave a review - let other readers know what you think

AWS CodeDeploy

The AWS CodeDeploy service will help to automate the deployment of a variety of different services that includes Amazon EC2 instances, AWS Lambda functions, and instances that are running on-premises. It scales from a single Lambda function to hundreds of thousands of EC2 instances. AWS CodeDeploy helps in the following ways to make deployment easier, as it:

  • Releases new features quickly
  • Avoids downtime for application deployment
  • Handles complexity
  • Eliminates manual operations

Now, we will find out more about the AWS CodeDeploy service with the following topics:

  • AWS CodeDeploy benefits
  • Compute platforms and deployment options for AWS CodeDeploy
  • AWS CodeDeploy – a sample application deployment on a Windows Server

In the next section, we will discuss AWS CodeDeploy benefits.

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