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


AWS Lambda@Edge allows you to easily run code across different AWS locations globally. It will provide low latency to the end user. Your AWS Lambda function can be triggered by Amazon CloudFront events, such as content requested to or from origin servers and viewers. AWS Lambda will take care of all the necessary actions such as replication, routing, and scaling the code with high availability at different AWS locations close to the end user when you upload the code to AWS Lambda.

There is no charge when the code is ideal, and you will pay for the compute time your function consumes.

Lambda@Edge benefits

The benefits of Lambda@Edge are as follows:

  • Lambda@Edge runs the function code at different AWS locations close to the end user to provide low latency with rich and more personalized contents.
  • Lambda@Edge scales the applications automatically by running code in response to each Amazon CloudFront event trigger. Your function code processes each trigger individually, runs in parallel...