Wrapper for aliyun serverless (node)

Repositório das demos realizadas no evento SSI-USP

In this project i expose the data stored in CosmosDB via a REST API built with Http-trigger Azure Functions.

Serverless events and blob processing based on HTTP triggers with input and output bindings on Azure blob storage

Created a final project of serverless to get the meal reminder every morning and afternoon and the feature to get the random recipe in the feature of SMS

Aplicativo feito em Azure Function com CRUD simples em base de dados MongoDB.

Following are some of the tests which i have used for testing a REST API built via Http-trigger Azure functions

This is my first hands-on with Azure where I used Azure Functions instead of the traditional ASP Web API solution to read from the database, process the data and write to the Azure SQL database.

It's an example about azure function project using C# and azure functions.

Google Cloud Function triggered by HTTP request. Send message to Slack channel via slack webhook. Node.js runtime.

Social Media Feed Analytics with C# with a Twitter v2 streaming API

Deploy the Azure Function Private Endpoint with GitHub Action

This Azure-based API is designed for managing vehicle registrations for a vehicle show meetup. It supports operations like user registration, vehicle number validation, and user management with features like filtering, pagination, and timestamps. Built using Node.js, Express, and MongoDB.

An Azure Function app that demonstrates a simple HTTP trigger, responding with a welcome message. This serves as an introduction to building serverless applications on Azure.

Google Cloud Function which is a HTTP-Trigger based function. Send message to Slack channel via webhook. PHP runtime.

This project deals with check in and check out of the workers of an electronic watch company using C# and azure functions.

Trigger function with HTTP events and store in cosmosdb and blob storage

This is a sample Azure Function App built using NodeJS that works as an API Endpoint for Fetching Data from a DB

Http and Queue Triggers, that relayed information from a local console application to Azure which then trigged a Queue trigger and Http Trigger which then sorted placed the information of patients after validation within the trigger into an Azure Database as well as Blob storage and Azure Tables