Chapter 1, AWS Tools and SDKs, introduces the AWS SDK and covers installation and the programming languages that are supported. The reader will get hands-on experience of creating an application. This chapter also covers SDKs for IoT devices and mobiles.
Chapter 2, Integrating Applications with AWS Services, covers how to integrate applications with AWS services such as DynamoDB, Amazon Kinesis, AWS Lambda, Amazon SQS, and Amazon SWF.
Chapter 3, Continuous Integration and Continuous Deployment Workflow, introduces the four major phases in the release processes—Source, Build, Test, and Production.
Chapter 4, CI/CD in AWS Part 1 – CodeCommit, CodeBuild, and Testing, explains how to apply AWS developer tools in your Continuous Integration (CI) and Continous Deployment (CD) workflow.
Chapter 5, CI/CD in AWS Part 2 – CodeDeploy, CodePipeline, and CodeStar, discusses other AWS Code family tools such as AWS CodeDeploy, AWS CodePipeline, AWS CodeStar, and AWS X-Ray.Â
Chapter 6, User Authentication with AWS Cognito, explains how to manage user authentication with AWS Cognito and also covers AWS Cognito service, which is a simple and secure user authentication for mobile and web applications.Â
Chapter 7, Evaluating the Best Architecture, covers traditional web hosting and web hosting on the cloud using AWS discussing, the best architecture for applications.Â
Chapter 8, Traditional Web Hosting – Amazon EC2 and Elastic Load Balancing, discusses Amazon EC2 best practices and troubleshooting. The chapter also covers about Elastic Load Balancing, auto-scaling, and fault-tolerant advanced topics. Finally, we will deploy an example of a CI/CD application using Amazon EC2 instances.
Chapter 9, Amazon EC2 Container Service, covers Docker, container instances, clusters, scheduling Ttsks, and Windows containers. Then, we will deploy an example of a CI/CD application with Amazon EC2 container services.
Chapter 10, Amazon Lambda – AWS Serverless Architecture, goes into more detail more about Microservices, Serverless Framework, how you can achieve serverless on the AWS platform using AWS Lambda, and you will learn how to deploy applications with the AWS Serverless Application Model (SAM).
