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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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Preface
Preface
Who this book is for
What this book covers
To get the most out of this book
Get in touch
Free Chapter
1
AWS Tools and SDKs
AWS Tools and SDKs
Brief introduction to AWS tools and SDKs
AWS SDKs for IoT devices
Summary
2
Integrating Applications with AWS Services
Integrating Applications with AWS Services
Amazon DynamoDB
Amazon Kinesis
Amazon SQS
Summary
3
Continuous Integration and Continuous Deployment Workflow
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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
4
CI/CD in AWS Part 1 – CodeCommit, CodeBuild, and Testing
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
5
CI/CD in AWS Part 2 – CodeDeploy, CodePipeline, and CodeStar
CI/CD in AWS Part 2 – CodeDeploy, CodePipeline, and CodeStar
AWS CodeDeploy
AWS CodePipeline
AWS CodeStar
AWS X-Ray
Summary
6
User Authentication with AWS Cognito
User Authentication with AWS Cognito
Amazon Cognito benefits
Amazon Cognito features
Summary
7
Evaluating the Best Architecture
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
8
Traditional Web Hosting – Amazon EC2 and Elastic Load Balancing
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
9
Amazon EC2 Container Service
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
10
Amazon Lambda – AWS Serverless Architecture
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
11
Other Books You May Enjoy
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Continuous Delivery – automating build and self-testing

After fully implementing CI in the organization, you can move on to the next process and implement Continuous Delivery.

The following is a schematic of Continuous Delivery. In this process, the Dev Team, Testing Team, and Software Configuration Team work together to integrate the latest code and make it available for the acceptance test. Once this acceptance test has completed successfully, the product is available for delivery:

Continuous Delivery aims to deliver quality software in a very fast manner. It has the ability to continuously deliver changes, such as new features, bug fixes, and configuration changes into UAT, staging, and production. It also helps to deliver work in small batches frequently, so that issues can be uncovered at an early stage.

Continuous Delivery differs from Continuous Integration...

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