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Table Of Contents

Expert AWS Development

By : Atul Mistry

3.4 (5)

Buy this Book

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.

Preface

Who this book is for

What this book covers

To get the most out of this book

Get in touch

Free Chapter

AWS Tools and SDKs

Brief introduction to AWS tools and SDKs

AWS SDKs for IoT devices

Summary

Integrating Applications with AWS Services

Amazon DynamoDB

Amazon Kinesis

Amazon SQS

Summary

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

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

CI/CD in AWS Part 2 – CodeDeploy, CodePipeline, and CodeStar

AWS CodeDeploy

AWS CodePipeline

AWS CodeStar

AWS X-Ray

Summary

User Authentication with AWS Cognito

Amazon Cognito benefits

Amazon Cognito features

Summary

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

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

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

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

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Amazon Kinesis

The Amazon Kinesis service is under the Analytics product category. This is a fully managed, real-time, highly scalable service. This service is used to collect, load, process, and analyze real-time massive-scale data. It can collect and process massive-scale data from multiple sources in real time. You can easily send data to other AWS services such as Amazon DynamoDB, AmazaonS3, and Amazon Redshift. You can ingest real-time data such as application logs, website clickstream data, IoT data, and social stream data into Amazon Kinesis. You can process and analyze data when it comes and respond immediately instead of waiting to collect all data before the process begins.

We will cover the following topics: