Azure Quickstart Templates
Deploy Azure resources through the Azure Resource Manager with community contributed templates to get more done. Deploy, learn, fork and contribute back.
What is Azure Resource Manager
Azure Resource Manager allows you to provision your applications using a declarative template. In a single template, you can deploy multiple services along with their dependencies. You use the same template to repeatedly deploy your application during every stage of the application lifecycle.
883 Quickstart templates are currently in the gallery.
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Add an access policy to an existing KeyVault without removing existing policies.
This template deploy a Ubuntu Server with a few options for the VM. You can provide the VM Name, OS Version, VM size, admin username and password. As default the VM size is Standard_B2s and O.S. Version is 18.04-LTS.
This template allows you to join an already exitsing Windows virtual machine into an existing Active Directory Domain. For this template to work you need an existing virtual machine, an AD Domain and a Domain Controller that has communication with this virtual machine and DNS settings that will allow this virtual machine to resolve the Domain DNS name.
This template creates a new Azure VM, it configures the VM to be an AD DC for a new Forest
This template shows how to setup network visibility in the Azure public cloud using the CloudLens agent to tap traffic on one vm and forward it to a network packet storing & indexing tool, in this case Moloch.
This template allows you to deploy a simple Windows VM using a few different options for the Windows version, using the latest patched version. This will deploy an A2 size VM in the resource group location and return the FQDN of the VM.
This template allows you to deploy an Ubuntu VM with Docker (using the Docker Extension). You can later SSH into the VM and run Docker containers.
This template shows how to create a DNS server that forwards queries to Azure's internal DNS servers. This is useful for setting up DNS resultion between virtual networks (as described in https://azure.microsoft.com/documentation/articles/virtual-networks-name-resolution-for-vms-and-role-instances/).
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This template creates a set of Intel Lustre 2.7 clients using Azure VM Scale Sets and Azure gallery OpenLogic CentOS 6.6 or 7.0 images and mounts an existing Intel Lustre filesystem
This template assigns a built-in policy to an existing resource group.
This will deploy 2 application gateways, a web app, a SQL server and database, OMS and other network resources. One app gateway is in detection mode and other is in prevention mode. Perform the SQL injection attack by following the guidleines and execute the scenario for mitigation and prevention of a SQL injection attack.
This template creates an Azure Cosmos account for Core (SQL) API with a database and container with autoscale throughput with multiple other options.
This template creates an Azure Cosmos account for Core (SQL) API with a database and container configured with autoscale and analytical store.
Deploys an Azure App Services web app with regional virtual network injection to allow the app to access an Azure SQL DB & storage account over a private endpoint
This template deploys an Openshift cluster on Azure with all the required resources, infrastructure and then deploys IBM Cloud Pak for Data along with the add-ons that user chooses.
This Quickstart program launches a security at scale solution stack that provides an automated provisioning, configuration and integration of TrendMicro DeepSecurity, Splunk Enterprise & Chef Server products ready for pre production environments.
This quick start launches a stack that allows you to Build, Run & Ship Containerized Applications using Docker Enterprise Edition and CloudBees Jenkins. This integrated stack is ready to use pre production environment.
Pivotal+Apigee end to end Solution template launches a stack which includes a Pivotal Cloud foundry, Concourse, Apigee Edge gateway,Apigee Service Broker and Azure Meta service Broker
This Quickstart launches a Big Data solution stack which has Informatica, Azure Data Factory, HDInsight, Azure SQL Dataware house and PowerBI as stack components. This integrated stack is ready to use pre production environment.