Expert AWS Development

Key concepts, sample applications, best practices, and troubleshooting tips to build highly scalable applications in AWS.
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Expert AWS Development

Atul V. Mistry
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Key concepts, sample applications, best practices, and troubleshooting tips to build highly scalable applications in AWS.
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Book Details

ISBN 139781788477581
Paperback408 pages

Book Description

Continuous deployment and Agile methodology have enabled huge advances in modern applications. This book will enable the reader to make use of this rapidly evolving technology to build highly scalable applications within AWS using different architectures.

You will begin with installation of AWS SDK and you will get hands-on experience on creating an application using AWS Management Console and AWS Command Line Interface (CLI). Next you will be integrating 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 Release processes – Source, Build, Test and Production. Next you will learn to apply AWS developer tools in 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 deploy an app using Amazon EC2.You will also get well versed with container service which is Amazon EC2 Container Service (Amazon ECS) and you will learn to deploy an app using Amazon ECS. Along with EC2 and ECS, you will also  deploying 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 like AWS CodeCommit, AWS CodeBuild, AWS CodeDeploy and AWS CodePipeline as per project needs. Also you can develop and deploy applications within minutes using AWS CodeStar from wizard.

By the end of this book, the reader will effectively build, deploy, and manage applications on AWS along with scaling and securing applications with best practices and troubleshooting tips.

Table of Contents

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

What You Will Learn

  • Learn how to get up and running with AWS Developer Tools.
  • Integrate the four major phases in the Release Processes. Source, Build, Test and Production.
  • Learn how to integrate Continuous Integration, Continuous Delivery, and Continuous Deployment in AWS.
  • Make secure, scalable and fault tolerant applications.
  • Understand different architectures and deploy complex architectures within minutes

Authors

Table of Contents

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

Book Details

ISBN 139781788477581
Paperback408 pages
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