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Refer to the following samples to learn how to use Azure Container Apps in different contexts and paired with different technologies.
| Name | Description |
|---|---|
| A/B Testing your ASP.NET Core apps using Azure Container Apps |
Shows how to use Azure App Configuration, ASP.NET Core Feature Flags, and Azure Container Apps revisions together to gradually release features or perform A/B tests. |
| gRPC with ASP.NET Core on Azure Container Apps | This repository contains a simple scenario that demonstrates how an ASP.NET Core 6.0 app is built as a cloud-native application. The application is hosted in Azure Container Apps that uses gRPC request/response transmission from Worker microservices. The gRPC service simultaneously streams sensor data to a Blazor server frontend, so you can see the data charted in real-time. |
| Deploy an Orleans Cluster to Container Apps | An end-to-end sample and tutorial for getting a Microsoft Orleans cluster running on Azure Container Apps. Worker microservices rapidly transmit data to a back-end Orleans cluster for monitoring and storage, emulating thousands of physical devices in the field. |
| Deploy a shopping cart Orleans app to Container Apps | An end-to-end example shopping cart app built in ASP.NET Core Blazor Server with Orleans deployed to Azure Container Apps. |
| ASP.NET Core front-end with two back-end APIs on Azure Container Apps |
This sample demonstrates ASP.NET Core 6.0 can be used to build a cloud-native application hosted in Azure Container Apps. |
| ASP.NET Core front-end with two back-end APIs on Azure Container Apps (with Dapr) |
Demonstrates how ASP.NET Core 6.0 is used to build a cloud-native application hosted in Azure Container Apps using Dapr. |
| Deploy Drupal on Azure Container Apps | Demonstrates how to deploy a Drupal site to Azure Container Apps, with Azure Database for MariaDB, and Azure Files to store static assets. |
| Launch your first Java app on Azure Container Apps | A monolithic Java application called PetClinic built with Spring Framework. PetClinic is a well-known sample application provided by the Spring Framework community. |
| Launch your first Java microservice app on Azure Container Apps | A microservices-based version of PetClinic with Spring, built with Spring Framework, showcasing configuration management, service discovery, and health/metrics monitoring on Azure Container Apps. |
| Launch Your first Java Spring Batch app on Azure Container Apps | A Java Spring Batch application showcasing an ephemeral statistics loading job, adapted from the Spring Batch Football Job sample, and deployable to Azure Container Apps. |
| Launch Your first Java AI application on Azure Container Apps | A Java AI application built with the Spring-AI Framework, demonstrating how to integrate with Azure OpenAI capabilities to enhance PetClinic application with an intelligent Chatbot, and deploy it to Azure Container Apps. |
| mTLS Server Application on Azure Container Apps | A Java sample using different Java APIs to demonstrate how to extract X.509 certificates from incoming requests, including Servlet Jakarta API, Servlet Javax API, and Reactive API. Additionally, to provide a complete user experience of verifying the certificates in Azure Container Apps other than Spring Security, the samples also demonstrate loading a custom trust store to validate the certificates. |
| ChatGPT + Enterprise data with Azure OpenAI and Azure AI Search (JavaScript) | Demonstrates Retrieval-Augmented Generation (RAG) using Azure OpenAI and Azure AI Search with a full frontend and backend, sample data, and azd deployment scripts for end-to-end testing. |
| Azure OpenAI RAG workshop (Node.js) | A monorepo showing how to build RAG chat experiences with LangChain.js, Fastify, and optional vector stores; includes step-by-step exercises and deployment guidance. |
| Node.js Microservices Workshop | Teaches microservices fundamentals using Node.js, Docker, and Azure Container Apps with example services built using Express, Fastify, and NestJS plus docker-compose and deployment scripts. |
| AI Travel Agents — Agentic Orchestration | A modular reference app that demonstrates multi-agent orchestration (LangChain.js, LlamaIndex.TS, Microsoft Agent Framework) and MCP servers, packaged for deployment to Azure Container Apps. Uses Python, Node.js, Java, .NET. |
| Remote MCP with Azure Container Apps (Node.js/TypeScript) | Quickstart template for running a Model Context Protocol (MCP) HTTP server on Azure Container Apps; includes JWT-based auth, examples, and azd deployment instructions. |
| Serverless RAG with LlamaIndex + Azure Dynamic Sessions | Full-stack Next.js RAG application using LlamaIndex and Azure Dynamic Sessions (code interpreter tooling), deployable to Azure Container Apps with azd templates. Uses React. |
| LlamaIndex Quickstart (JavaScript) | Serverless quickstart that shows how to build a LlamaIndex-based chat app with Azure OpenAI and Azure Container Apps; includes ingestion for common file types and local azd deployment guidance. |
| LlamaIndex Vector Search (JavaScript) | A LlamaIndex RAG chat sample that combines Azure OpenAI embeddings and Azure AI Search for vector retrieval, with sample data and deployment instructions for Azure Container Apps. |