Modelli di avvio rapido di Azure
Distribuisci risorse di Azure attraverso Azure Resource Manager con i modelli offerti dalla community per incrementare la tua produttività. Distribuisci, impara, implementa e offri anche tu il tuo contributo.
Che cos'è Azure Resource Manager
Azure Resource Manager ti permette di effettuare il provisioning delle tue applicazioni usando un modello dichiarativo. Con un unico modello, puoi distribuire più servizi insieme alle rispettive dipendenze. Puoi usare lo stesso modello per distribuire ripetutamente la tua applicazione durante ogni fase del suo ciclo di vita.
996 modelli di avvio rapido attualmente nella raccolta.
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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 creates new Azure VMs based on which configuration you choose. It configures a new AD domain controler, a new hierarchy/standalone bench with SQL Server, a remote site system server with Management Point and Distribution Point and clients.
This template creates Azure Machine Learning workspace with multiple datasets & datastores.
Deploy a Windows VM with SonarQube installed and configured against an Azure SQL Database.
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/).
Deploys a Windows VM Scale Set running IIS and a very basic .NET MVC web app. The VMSS PowerShell DSC Extension is leveraged to do the IIS install and WebDeploy package deployment.
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The Azure Resource Optimization Toolkit is a decentralized, native Azure solution using serverless technologies to optimize Azure resources on your subscription. Optimization happens automatically on your subscription once you enable or create your own schedule, including on new resources. This is an Azure Automation account with preconfigured runbooks and schedules you can utilize on your subscription to start saving money.
This template deploys an Elasticsearch cluster and Kibana and Logstash VMs. Logstash is configured with an input plugin to pull diagnostics data from existing Azure Storage Tables.
This template creates 2 VMs in separate Availability Zones to be AD DCs (primary and backup) for a new Forest and Domain
This template creates en environment with multiple subnets and the servers (one DC and two members) associated with. If the number of subnets varies, the servers are adjusted automatically. It illustrates several ARM concepts, such as outputs, array as parameters
This template creates three new Azure VMs on an existing VNET: Two VMs are configured as SQL Server 2014 AlwaysOn Availability Group replica nodes and one VM is configured as a File Share Witness for automated cluster failover. In addition to these VMs, the following additional Azure resources are also configured: Internal load balancer, Storage accounts. To configure clustering, SQL Server and AlwaysOn within each VM, PowerShell DSC is leveraged. For Active Directory support, existing Active Directory domain controllers should already be deployed on the existing VNET.
Cloud adoption for an Enterprise, small or large, require responsible and efficient governance models to derive value from their cloud deployments. CloudWise (a code-name for the solution), is a composite solution available from Azure Partner QuickStarts, is an adoption enabler for Customers, System Integrators and Partners alike, that delivers a self-serviceable, automated governance and operations solution, focused on Optimizing Your Costs, Improve Your Application(s) Reliability, Reducing Business Risk. The solution highlights the core governance pillars of Visibility and Control.
This ARM Template sample code will deploy a **Remote Desktop Services 2019 Session Collection** lab with high availability. The goal is to deploy a fully redundant, highly available solution for Remote Desktop Services, using Windows Server 2019.
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.
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.