Book Image

Expert AWS Development

By : Atul Mistry
Book Image

Expert AWS Development

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 (16 chapters)
Title Page
Packt Upsell
Contributors
Preface
Index

Chapter 9. Amazon EC2 Container Service

In the previous chapter, we discussed Amazon EC2's best practices and troubleshooting capabilities. We also learned about Elastic Load Balancing, Auto Scaling, fault tolerance, and monitoring and optimizing the infrastructure cost. We also modified AWS CodeDeploy for CI/CD applications with Auto Scaling.

In this chapter, we will look at Docker, container instances, clusters, scheduling tasks, and Windows containers. Finally, we will deploy an example of a CI/CD application with Amazon EC2 Container Services.

In this chapter, we will cover the following topics:

  • Docker, container instances, clusters
  • Scheduling tasks
  • Windows containers (beta)
  • Monitoring and optimizing the cost of the infrastructure
  • Continuous Integration (CI) and Continuous Deployment (CD) workflow

Now let's start with our first topic, Docker: