Use Serverless Functions to Send an SMS with React, Vercel, and Twilio Close Products Voice & Video Programmable Voice Programmable Video Elastic SIP Trunking TaskRouter Network Traversal Messaging Programmable SMS Programmable Chat Notify Authentication Authy Connectivity Lookup Phone Numbers Programmable Wireless Sync Marketplace Add‑ons Platform Vercel is a good example of a platform for serverless . Vercel; Vercel とは静的サイトや Serverless Functions をホスティングするサービスです。 無料で利用できる枠もあるので、試しに使うのにはもってこいです。 Serverless Functions とは、HTTPリクエストを受け取りレスポンスを返すコードのことのようです 1 。. Rust and WebAssembly Serverless functions in Vercel Serverless Functions. With Vercel, you can deploy Serverless Functions, which are pieces of code written with backend languages that take an HTTP request and provide a response. These WebAssembly functions are much faster . GitHub - simov/grant-vercel: Vercel Serverless Function handler for Grant High-performance functions written in C/C++, Rust, and Swift can be easily compiled into WebAssembly. With a noted exception of Netlify, both Vercel and Gatsby Cloud have their own framework product as well. Setup The Vercel platform already has a very easy-to-use serverless framework for deploying functions hosted in Vercel. from http.server import BaseHTTPRequestHandler They offer everything from function-as-a-service to hosted blockchain and machine learning products. Vercel is a cloud platform for static sites and Serverless Functions that fits perfectly with your workflow. I am using Vercel serverless function to run a post request to webhook. When deployed, Vercel will detect the Python file and serve it as a serverless function. These functions are run on demand and require the help of cloud platforms like AWS, Azure, or Vercel to help manage the complexities of orchestrating and maintaining dedicated servers. Since yesterday Vercel is serving my serverless functions' sources instead of executing them - when I curl somewhere/api/endpoint, I get the function source instead of the JSON it's supposed to output. One is the image processing function, the other one is the TensorFlow inference function. That means they are just executed per event and don't run 24/7. The Vercel platform already has a very easy-to-use serverless framework for deploying functions hosted in Vercel.
