Serverless Web Application

A Serverless Web Application is a serverless application that is a web application that is based on a serverless platform.

• Context:
  • It can (typically) follow a serverless system pattern.
  • ...
• Counter-Example(s):
  • Hosted Web Application.
• See: AWS Lambda.

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References

2023

• https://aws.amazon.com/getting-started/hands-on/build-serverless-web-app-lambda-apigateway-s3-dynamodb-cognito/
  • An introductory page for a tutorial on building a serverless web application using AWS services.
  • The tutorial will cover hosting a static website, user management, building a backend, and deploying an API.
  • The services used include AWS Amplify, Amazon Cognito, AWS Lambda, Amazon API Gateway, and Amazon DynamoDB.
  • There is an overview of the application architecture with explanations of how each AWS service fits in.
  • Static web content will be hosted on Amplify, Cognito will handle user management, Lambda and API Gateway will provide a serverless backend, and DynamoDB will store data.

2022

• "AWS Project: Build a Serverless Web Application." YouTube 52:49
  • NOTE: A comprehensive tutorial covering major AWS services to build and deploy a dynamic serverless web application.
    • It builds a serverless web application with AWS services like S3, API Gateway, Lambda, DynamoDB, and Cognito.
    • It starts by deploying a static website to S3 using AWS Amplify.
    • AWS Cognito is used to manage user authentication. A user pool is created and integrated with the frontend.
    • AWS Lambda functions are created to handle backend logic when a user requests a ride. The functions save ride data to DynamoDB.
    • API Gateway creates REST APIs to expose the Lambda functions and integrate them with the frontend. Requests are authorized using the Cognito user pool.
    • Troubleshooting steps are shown to fix issues with Lambda and DynamoDB integration.
    • Walks through configuring all the services and deploying the changes to create a working serverless web app. Multiple coding snippets and AWS console screenshots demonstrate the steps.

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