How do I handle 1000 concurrent users?

• cached-lookup

  17 56 5.1 JavaScript

  A Simple Package To Cache And Save On Expensive Lookups & Operations.

Simply add a https://github.com/kartikk221/cached-lookup on the endpoint with a 1-second cache which serves the JSON from Redis and you should be able to serve wayy more than 1k concurrent users. If you still somehow hit a limit, look into using a higher throughput web-server like https://github.com/kartikk221/hyper-express

• hyper-express

  38 1,465 8.8 JavaScript

  High performance Node.js webserver with a simple-to-use API powered by uWebsockets.js under the hood.

Simply add a https://github.com/kartikk221/cached-lookup on the endpoint with a 1-second cache which serves the JSON from Redis and you should be able to serve wayy more than 1k concurrent users. If you still somehow hit a limit, look into using a higher throughput web-server like https://github.com/kartikk221/hyper-express

• SurveyJS

  surveyjs.io featured

  Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.

  

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