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JAWS stack javascript aws node.js express auroradb dynamodb lambda

JAWS: The Javascript + AWS Stack

Under-Construction! Please contribute, or go for a swim while we finish this. The water is nice...

This stack uses new tools from Amazon Web Services to completely redefine how to build massively scalable and cheap web applications.

The Goals of JAWS:

  • Use No Servers: Never deal with scaling/deploying/maintaing/monitoring servers again.
  • Isolated Components: The JAWS back-end is comprised entirely of AWS Lambda Functions. You can develop/update/configure each separately without affecting any other part of your application. Your app never goes down... only individual API routes can go down.
  • Scale Infinitely: A back-end comprised of Lambda functions comes with a ton of concurrency and you can easily enable multi-region redundancy.
  • Be Cheap As Possible: Lambda functions run only when they are called, and you only pay for when they are run.

####Follow the set-up guide in the wiki to get started!

##Architecture

JAWS stack diagram javascript aws node.js express auroradb dynamodb lambda

####API There are no servers are included in this stack(!!!). The entire back-end is comprised of Lambda functions which are organized in the api folder. Your API urls point to individual Lambda functions. This way, the code for each API Route is completely isolated, enabling you to develop/update/configure/deploy/maintain that specific code at any time without affecting any other part of your application(!!!). Think of each Lambda function as a "Controller", in traditional MVC structure.

You can either use the AWS Management Console's API Gateway User Interface to create your API, or define your API in the api_swagger.json file and deploy instantly via AWS's Swagger Import Tool (Recommended).

####Lib In JAWS, the Lambda functions are the "Controllers", but the lib folder/module contains re-useable code you would like to use across all of your Lambda functions, which can be thought of as your "Models".

Since Lambda can be slow to initialize on cold-starts (after ~5 mins of inactivity), this module is designed so that you do not have to require all of its code, but instead you can require in only the code that your Lambda function needs. For example:

// This only loads code needed for the User Model
var ModelUser = require('jaws-lib').models.User;

While developing, make sure you create an npm sym-link between this module and all of your Lambda functions. This way, all of the changes in the lib folder will be instantly available in every one of your Lambda functions when you run/test them locally. Check out the wiki for instructions.

####CLI This stack comes with its own command line interface to help you test your API Lambda Functions locally and deploy them. The commands are:

Run A Lambda Function Locally Make sure you in the root folder of your Lambda function (api/users/signup) and enter this:

$ jaws run

Deploy A Lambda Function Make sure you in the root folder of your Lambda function (api/users/signup) and enter this:

$ jaws deploy

Start A Local Server Make sure you in thesite folder of the JAWS app and enter this:

$ jaws server

####Site Your website/client-side application. These assets can be uploaded and served from S3 for super fast response times.

##To Do

  • Incorporate the AWS API Gateway Swagger Import Tool (somehow...)
  • Write the swagger.json for the current API functions
  • Add on to the site to use the API Routes, after they are deployed
  • Write a JAWS CLI command to build and deploy site assets
  • Write more API examples

##Starring

Javascript:

  • Node.js (in AWS Lambda functions)
  • jQuery (in your front-end site)

AWS Services:

  • DynamoDB - Managed, NOSQL data storage
  • Lambda - Build worker tasks that you can spawn and scale infinitely.
  • API Gateway - Launch an API with urls pointing to your Lambda functions
  • S3 - Host static assets for your site here

Other:

  • JSON Web Tokens

##Other

Description
Serverless Framework – Build web, mobile and IoT applications with serverless architectures using AWS Lambda, Azure Functions, Google CloudFunctions & more! –
Readme 156 MiB
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