Azure Quickstart Templates
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Updated
Aug 6, 2025 - Bicep
Azure is a cloud computing service created by Microsoft for building, testing, deploying, and managing applications and services through a global network of Microsoft-managed data centers.
Azure Quickstart Templates
Sharing the learning along the way we been gathering to enable Azure OpenAI at enterprise scale in a secure manner. GPT-RAG core is a Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
This repository contains the Azure Landing Zones (ALZ) Bicep modules that help deliver and deploy the Azure Landing Zone conceptual architecture in a modular approach. https://aka.ms/alz/docs
Build your own serverless AI Chat with Retrieval-Augmented-Generation using LangChain.js, TypeScript and Azure
This is the Azure Kubernetes Service (AKS) Baseline Cluster reference implementation as produced by the Microsoft Azure Architecture Center.
The Reliable Web App Pattern is a set of objectives to help your web application converge on the cloud. This repo contains a reference implementation of a reliable web application for .NET.
AVD Accelerator deployment automation to simplify the setup of AVD (Azure Virtual Desktop) based on best practices
A creative writing multi-agent solution to help users write articles.
The Azure App Service landing zone accelerator is an open-source collection of architectural guidance and reference implementation to accelerate deployment of Azure App Service at scale.
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.
Template to deploy the Data Management Zone of Cloud Scale Analytics (former Enterprise-Scale Analytics). The Data Management Zone provides data governance and management capabilities for the data platform of an organization.
Template to deploy a single Data Landing Zone of the Data Management & Analytics Scenario (former Enterprise-Scale Analytics). The Data Landing Zone is a logical construct and a unit of scale in the architecture that enables data retention and execution of data workloads for generating insights and value with data.
This template allows you to deploy an OPNsense Firewall Azure VM using the opnsense-bootsrtap installation method
ARM Bicep & DSC Project for Azure Infrastructure and App Environment Deployments.
A collection of BICEP/ARM templates that deploys on Azure a hub & spoke net topology aligned with Microsoft Enterprise scale landing zone ref architecture to use as playground for test and study. As bonus many scenarios with step-by-step solutions for studying and learning are also available
This repo contains the reference implementation for the Microsoft Learn Azure OpenAI end to end chat baseline.
This reference implementation is based on Cloud Adoption Framework for Azure and provides an opinionated implementation that enables ITSG-33 regulatory compliance by using NIST SP 800-53 Rev. 4 and Canada Federal PBMM Regulatory Compliance Policy Sets.
Bicep module & pipelines to deploy landing zone subscriptions
Created by Microsoft
Released February 1, 2010