Modèles de démarrage rapide Azure
Déployez des ressources Azure via Azure Resource Manager avec des modèles distribués par la communauté pour améliorer votre productivité. Déployez, apprenez, répliquez et contribuez.
Présentation d'Azure Resource Manager
Azure Resource Manager vous permet d’approvisionner vos applications à l’aide d’un modèle déclaratif. Dans un modèle unique, vous pouvez déployer plusieurs services avec leurs dépendances. Vous utilisez le même modèle pour déployer de manière répétée votre application à chaque étape de son cycle de vie.
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- Microsoft.Aad (1)
- Microsoft.Alertsmanagement (1)
- Microsoft.Analysisservices (1)
- Microsoft.Apimanagement (18)
- Microsoft.App (2)
- Microsoft.Appconfiguration (5)
- Microsoft.Appplatform (1)
- Microsoft.Attestation (1)
- Microsoft.Authorization (45)
- Microsoft.Automation (9)
- Microsoft.Batch (2)
- Microsoft.Blockchain (1)
- Microsoft.Blueprint (1)
- Microsoft.Cache (9)
- Microsoft.Cdn (26)
- Microsoft.Certificateregistration (2)
- Microsoft.Cognitiveservices (3)
- Microsoft.Compute (390)
- Microsoft.Confidentialledger (1)
- Microsoft.Consumption (3)
- Microsoft.Containerinstance (17)
- Microsoft.Containerregistry (13)
- Microsoft.Containerservice (10)
- Microsoft.Customproviders (3)
- Microsoft.Databricks (8)
- Microsoft.Datafactory (17)
- Microsoft.Datalakeanalytics (1)
- Microsoft.Datalakestore (5)
- Microsoft.Datamigration (2)
- Microsoft.Dataprotection (3)
- Microsoft.Datashare (3)
- Microsoft.Dbformariadb (1)
- Microsoft.Dbformysql (8)
- Microsoft.Dbforpostgresql (8)
- Microsoft.Devices (6)
- Microsoft.Deviceupdate (2)
- Microsoft.Devtestlab (4)
- Microsoft.Documentdb (24)
- Microsoft.Domainregistration (1)
- Microsoft.Eventgrid (7)
- Microsoft.Eventhub (19)
- Microsoft.Guestconfiguration (1)
- Microsoft.Hdinsight (28)
- Microsoft.Healthcareapis (2)
- Microsoft.Insights (77)
- Microsoft.Keyvault (32)
- Microsoft.Kusto (3)
- Microsoft.Labservices (3)
- Microsoft.Logic (29)
- Microsoft.Machinelearningservices (29)
- Microsoft.Managedidentity (16)
- Microsoft.Management (1)
- Microsoft.Maps (4)
- Microsoft.Media (2)
- Microsoft.Migrate (1)
- Microsoft.Mobilenetwork (6)
- Microsoft.Netapp (4)
- Microsoft.Network (516)
- Microsoft.Notificationhubs (2)
- Microsoft.Operationalinsights (42)
- Microsoft.Operationsmanagement (17)
- Microsoft.Portal (4)
- Microsoft.Powerbi (1)
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- Microsoft.Recoveryservices (14)
- Microsoft.Relay (7)
- Microsoft.Resourcegraph (1)
- Microsoft.Resources (175)
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- Microsoft.Security (6)
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- Microsoft.Servicebus (17)
- Microsoft.Servicefabric (3)
- Microsoft.Signalrservice (2)
- Microsoft.Solutions (3)
- Microsoft.Sql (40)
- Microsoft.Sqlvirtualmachine (4)
- Microsoft.Storage (279)
- Microsoft.Storagepool (1)
- Microsoft.Streamanalytics (1)
- Microsoft.Subscription (1)
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- Microsoft.Timeseriesinsights (2)
- Microsoft.Virtualmachineimages (1)
- Microsoft.Visualstudio (1)
- Microsoft.Web (104)
Affichage de tous les 32modèles. Affinez les résultats avec la recherche.
Create Application Gateway with Certificates
This template shows how to generate Key Vault self-signed certificates, then reference from Application Gateway.
Create an Azure Machine Learning service workspace.
This deployment template specifies an Azure Machine Learning workspace, and its associated resources including Azure Key Vault, Azure Storage, Azure Application Insights and Azure Container Registry. This configuration describes the set of resources you require to get started with Azure Machine Learning in a network isolated set up.
Create key vault, managed identity, and role assignment
This template creates a key vault, managed identity, and role assignment.
Azure Storage Account Encryption with customer-managed key
This template deploys a Storage Account with a customer-managed key for encryption that's generated and placed inside a Key Vault.
Create a new encrypted windows vm from gallery image.
This template creates a new encrypted windows vm using the server 2k12 gallery image.
Create an Azure Key Vault and a secret
This template creates an Azure Key Vault and a secret.
Create an Azure Machine Learning service workspace.
This deployment template specifies an Azure Machine Learning workspace, and its associated resources including Azure Key Vault, Azure Storage, Azure Application Insights and Azure Container Registry. This configuration describes the set of resources you require to get started with Azure Machine Learning in a network isolated set up.
Application Gateway with internal API Management and Web App
Application Gateway routing Internet traffic to a virtual network (internal mode) API Management instance which services a web API hosted in an Azure Web App.
AKS Cluster with a NAT Gateway and an Application Gateway
This sample shows how to a deploy an AKS cluster with NAT Gateway for outbound connections and an Application Gateway for inbound connections.
Create an API Management service with SSL from KeyVault
This template deploys an API Management service configured with User Assigned Identity. It uses this identity to fetch SSL certificate from KeyVault and keeps it updated by checking every 4 hours.
Create an Azure Key Vault Managed HSM
This template creates an Azure Key Vault Managed HSM.
Create an Azure Key Vault with RBAC and a secret
This template creates an Azure Key Vault and a secret. Instead of relying on access policies, it leverages Azure RBAC to manage authorization on secrets
Create Key Vault with logging enabled
This template creates an Azure Key Vault and an Azure Storage account that is used for logging. It optionally creates resource locks to protect your Key Vault and storage resources.
Create a Key Vault and a list of secrets
This template creates a Key Vault and a list of secrets within the key vault as passed along with the parameters
Create Azure Maps SAS token stored in an Azure Key Vault
This template deploys and Azure Maps account and lists a Sas token based on the provided User Assigned identity to be stored in an Azure Key Vault secret.
Create an Azure Machine Learning service workspace.
This deployment template specifies an Azure Machine Learning workspace, and its associated resources including Azure Key Vault, Azure Storage, Azure Application Insights and Azure Container Registry. The example shows how to configure Azure Machine Learning for encryption with a customer-managed encryption key.
Create an Azure Machine Learning service workspace.
This deployment template specifies an Azure Machine Learning workspace, and its associated resources including Azure Key Vault, Azure Storage, Azure Application Insights and Azure Container Registry. This configuration describes the minimal set of resources you require to get started with Azure Machine Learning.
Azure Function app and an HTTP-triggered function
This example deploys an Azure Function app and an HTTP-triggered function inline in the template. It also deploys a Key Vault and populates a secret with the function app's host key.
Create a Private AKS Cluster with a Public DNS Zone
This sample shows how to a deploy a private AKS cluster with a Public DNS Zone.
Enable encryption on a running Windows VM.
This template enables encryption on a running windows vm.
AKS cluster with the Application Gateway Ingress Controller
This sample shows how to deploy an AKS cluster with Application Gateway, Application Gateway Ingress Controller, Azure Container Registry, Log Analytics and Key Vault
SAS 9.4 and Viya Quickstart Template for Azure
The SAS® 9.4 and Viya QuickStart Template for Azure deploy these products on the cloud: SAS® Enterprise BI Server 9.4, SAS® Enterprise Miner 15.1, and SAS® Visual Analytics 8.5 on Linux, and SAS® Visual Data Mining and Machine Learning 8.5 on Linux for Viya. This QuickStart is a reference architecture for users who wants to deploy the combination of SAS® 9.4 and Viya on Azure using cloud-friendly technologies. By deploying the SAS® platform on Azure, you get an integrated environment of SAS® 9.4 and Viya environments so you can take advantage of both worlds. SAS® Viya is a cloud-enabled, in-memory analytics engine. It uses elastic, scalable, and fault-tolerant processing to address complex analytical challenges. SAS® Viya provides faster processing for analytics by using a standardized code base that supports programming in SAS®, Python, R, Java, and Lua. It also supports cloud, on-premises, or hybrid environments and deploys seamlessly to any infrastructure or application ecosystem.
Create new encrypted managed disks win-vm from gallery image
This template creates a new encrypted managed disks windows vm using the server 2k12 gallery image.
Create and encrypt a new Windows VMSS with jumpbox
This template allows you to deploy a simple VM Scale Set of Windows VMs using the lastest patched version of serveral Windows versions. This template also deploys a jumpbox with a public IP address in the same virtual network. You can connect to the jumpbox via this public IP address, then connect from there to VMs in the scale set via private IP addresses.This template enables encryption on the VM Scale Set of Windows VMs.