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This C# demo is based on azure-search-openai-demo and uses a static web app for the frontend and Azure functions for the backend API's. This solution uses the Azure Functions OpenAI triggers and binding extension for the backend capabilities.
This Quickstart uses Azure Developer command-line (azd) tools to create functions that respond to HTTP requests. After testing the code locally, you deploy it to a new serverless function app you create running in a Flex Consumption plan in Azure Functions. This follows current best practices for secure and scalable Azure Functions deployments
This sample shows how to take text documents as a input via BlobTrigger, does Text Summarization & Sentiment Score processing using the AI Congnitive Language service, and then outputs to another text document using BlobOutput binding. Uses Azure Functions Python v2 programming model.
This Quickstart uses Azure Developer command-line (azd) tools to create functions that respond to HTTP requests. After testing the code locally, you deploy it to a new serverless function app you create running in a Flex Consumption plan in Azure Functions. This follows current best practices for secure and scalable Azure Functions deployments
An integration between SonarQube and MS Teams, implemented as an Azure Function.
This sample shows how to take text documents as a input via BlobTrigger, does Text Summarization & Sentiment Score processing using the AI Congnitive Language service, and then outputs to another text document using BlobOutput binding.
This repository contains the implementation of an order processing workflow with Durable Functions in C#. The sample is deployed to Azure Functions Flex Consumption using the Azure Developer CLI (azd) and is configured with managed identity as the authentication mechanism.
This Quickstart uses Azure Developer command-line (azd) tools to create functions that respond to HTTP requests. After testing the code locally, you deploy it to a new serverless function app you create running in a Flex Consumption plan in Azure Functions. This follows current best practices for secure and scalable Azure Functions deployments
Microsoft Teams notifier for Secret Scanning alerts from GitHub Advanced Security, using a GitHub App and Azure Function
This Quickstart uses Azure Developer command-line (azd) tools to create functions that respond to HTTP requests. After testing the code locally, you deploy it to a new serverless function app you create running in a Flex Consumption plan in Azure Functions. This follows current best practices for secure and scalable Azure Functions deployments
This Quickstart uses Azure Developer command-line (azd) tools to create functions that respond to HTTP requests. After testing the code locally, you deploy it to a new serverless function app you create running in a Flex Consumption plan in Azure Functions. This follows current best practices for secure and scalable Azure Functions deployments
This repository contains the implementation of an order processing workflow with Durable Functions in Python. The sample is deployed to Azure Functions Flex Consumption using the Azure Developer CLI (azd) and is configured with managed identity as the authentication mechanism.
This is an Azure Function that converts CSV text to JSON. It can be used standalone or as the api behind a custom connector in Power Automate.
This project serves as an interactive tutorial series showcasing the integration of Azure Durable Functions with Semantic Kernel, enhanced with a Flask CLI frontend. Each part of the series introduces new functionalities, from simple Q&A agents to complex orchestrations, demonstrating the power of combining cloud computing with AI.
This Quickstart uses Azure Developer command-line (azd) tools to create functions that respond to HTTP requests. After testing the code locally, you deploy it to a new serverless function app you create running in a Flex Consumption plan in Azure Functions. This follows current best practices for secure and scalable Azure Functions deployments
Demonstration of Azure Functions deployment using Github Actions workflows
Azure Function to create GraphQL endpoint against Cosmos DB
Tool to generate configuration and dashboards to monitor azure resources
In this project, we will create an Event Grid Topic in Azure for a publish-subscribe demo. Our subscriber will be an Azure function that is triggered by an event published to the Event Grid Topic. We will create the Azure function app, subscribe to our Event Grid Topic, and then demo it in action. We will use Postman to set up a POST request to our Event Grid Topic public endpoint that has authentication, version parameter, and the correct JSON body format. After we send the request, we will take a look in the Azure portal to verify the activity and that our subscriber function received and processed the event.
This repository provides a scalable baseline for Azure Function written in Python.
This repository gathers a set of projects to increase productivity through automation of serverless services in the cloud.
oAuth Azure Function App for VoiceFlip
Incident Bot in Java on Azure Functions
This template repository contains an CosmosDb trigger reference sample for functions written in C# (isolated process mode) and deployed to Azure using the Azure Developer CLI (azd).
An Azure Functions QuickStart project that demonstrates how to use both SQL Triggers and SQL Output Bindings with the Azure Developer CLI (azd) for rapid, event-driven integration with Azure SQL Database.
An Azure Functions QuickStart project that demonstrates how to use both SQL Triggers and SQL Output Bindings with the Azure Developer CLI (azd) for rapid, event-driven integration with Azure SQL Database.
Sample Azure function project
The goal of this project/repository is to demo how to develop a serverless authentication and authorization service using GoLang and Azure Services. ie. serveless storage and compute.
📊 BoraCotações é um microserviço para simular e comparar cotações de crédito imobiliário.
This project demonstrates various processing approaches for handling large Xml files, using the publicly available GLEIF datasets.
Contains examples for isloated dotnet 8 HttpTrigger azure function
Azure Function App to enhance user stories using LangChain & OpenAI's API, integrating with task management tools for automated user story improvements.
A Terraform module that manages the app service resources from the azurerm provider.
Helper methods for integrating your functions with B2C API Connectors or Entra External ID User Flow Extensions
An Azure Functions QuickStart project that demonstrates how to use both SQL Triggers and SQL Output Bindings with the Azure Developer CLI (azd) for rapid, event-driven integration with Azure SQL Database.