Sample microservices solution using Azure Container Apps, Dapr, Cosmos DB, and Azure API Management

The Azure Container Apps landing zone accelerator is an open-source collection of architectural guidance and reference implementation to accelerate deployment of Azure Container Apps at scale.

A collection of Azure Container Apps samples

Azure Sample showing how to connect and call multiple container apps within the same environment. Shows the approach to use both with and without Dapr.

Sample repository to cover Azure Container Apps and Dapr Integration. Detailed tutorial can be found on the link below

This sample shows how to deploy a Dapr application to Azure Container Apps using Terraform with the AzAPI Provider.

Prescriptive guidance for building, deploying, and monitoring machine learning models with Azure Databricks using containers in line with MLOps principles and practices.

Host the code and the documentation of the Azure Container Apps workshop for Java runtimes (Quarkus, Micronaut, Spring Boot)

Python web app using Django that can be deployed to Azure Container Apps.

Python web app using Flask that can be deployed to Azure Container Apps.

Sample repository shows how to two services deployed to Azure Container Apps communicate synchronously over gRPC without using Dapr and then we will Daperize the two services and utilize the service-to-service invocation features coming with Dapr.

Demo implementation of a reactive multi agent bot that can answer questions based on relational database information to demonstrate different architecture pattern.

Deploy AzureDevOps Selfhosted runners with a KEDA scaler

Python sample project for building scalable document data extraction pipeline with containerized Durable Functions and Azure AI Services on Azure Container Apps.

Various scenarios using Dapr.

Sample repository shows how to deploy Meilisearch into Azure Container Apps with complete Bicep/ARM templates using Deploy to Azure Button

This sample shows how to deploy a Dapr application to Azure Container Apps using Terraform with the AzAPI Provider.

.NET sample project for building a scalable document data extraction pipeline with containerized Durable Functions and Azure AI Services on Azure Container Apps.

Examples that have been deployed to Azure Container Apps in different languages utilizing HTTP or gRPC with Dapr. These are all mostly pulled from existing Dapr samples.

Considerations for choosing an Azure container service for secure use cases.