Plantillas de inicio rápido de Azure
Implemente recursos de Azure mediante el Azure Resource Manager con plantillas proporcionadas por la comunidad para aumentar su productividad. Implemente, aprenda, aproveche lo que necesite y haga sus aportaciones a la comunidad.
¿Qué es Azure Resource Manager?
Azure Resource Manager permite aprovisionar las aplicaciones usando una plantilla declarativa. En una sola plantilla, se pueden implementar varios servicios junto con sus dependencias. Se usa la misma plantilla para implementar repetidamente la aplicación durante cada etapa de su ciclo de vida.
Mostrando todas las plantillas (165). Refine los resultados con la opción de búsqueda.
This template creates a Front Door Standard/Premium (Preview) and an Application Gateway instance, and uses an NSG and WAF policy to validate that traffic has come through the Front Door origin.
A template that creates Azure Machine Learning workspace with private endpoints and resources behind VNET
Creates an Azure Image Builder environment and builds a Windows Server image with the latest Windows Updates and Azure Windows Baseline applied.
This sample shows how to create a private AKS cluster in a virtual network along with a jumpbox virtual machine.
This template allows you to create a RHEL 8.4 VM running JBoss EAP EAP 7.3/EAP 7.4 and also deploy a web application called JBoss-EAP on Azure, you can log into the admin console using the JBoss EAP username and password configured at the time of the deployment.
This template allows you to create multiple RHEL 8.4 VM running JBoss EAP 7.3/ EAP 7.4 cluster and also deploy a web application called eap-session-replication, you can log into the admin console using the JBoss EAP username and password configured at the time of the deployment.
This template allows you to create RHEL 8.4 VMSS instances running JBoss EAP EAP 7.3/ EAP 7.4 cluster and also deploy a web application called eap-session-replication, you can log into the admin console using the JBoss EAP username and password configured at the time of the deployment.
This template creates a Front Door Standard/Premium (Preview) with a container group and Application Gateway.
The SAS Viya 3.5 Quickstart Template for Azure deploys these products on the cloud: SAS Visual Analytics 8.5 on Linux, SAS Visual Statistics 8.5 on Linux, and SAS Visual Data Mining and Machine Learning 8.5 on Linux. This Quickstart is a reference architecture for users who want to deploy the SAS Viya platform, using microservices and other cloud-friendly technologies. By deploying the SAS platform on Azure, you get SAS analytics, data visualization, and machine learning capabilities in an Azure-validated environment. 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.
The SAS 9.4 Quickstart Template for Azure with SAS Visual Analytics and SAS Visual Statistics deploys these products on the cloud: SAS Visual Analytics 7.51 and SAS Visual Statistics 7.51. This Quickstart is a reference architecture only. It is not intended for production use. Specifically, the Quickstart provides an example of how a SAS Visual Analytics in SAS 9.4 workload and a SAS Visual Statistics in SAS 9.4 workload running in a massively parallel processing (MPP) environment with SAS LASR Analytiic Server can be run on Azure.
This template is a management group template that will create a subscription, a resourceGroup and a storageAccount in the same template. It can be used for an Enterprise Agreement billing mode only. The official documentation shows modifications needed for other types of accounts.
This template allows you to deploy a Linux or Windows Virtual Machine Scale Set with a Managed Service Identity. That identity is then used to access Azure services.
This template provides an example of how to perform analytics on the historic as well as real time streaming data stored in Azure Blob Storage. The data from the event hub is taken by the Azure Stream Analytics Job to perform transformation and the output is stored in Azure Blob Storage and is visualized in PowerBI. The analytics is applied on the historic data stored in Blob storage by Azure Data Analytics and the movement of extracted, transformed and published data and the orchestration is done by Data Factory. The published data is further visualized in PowerBI
Deploys a highly availe 2-VM NFS cluster based on DRBD, Pacemaker and Corosync with Ubuntu.
This template creates a new Active Directory forest, with an optional subdomain. You can choose to have either one or two DCs per domain. The network configuration is highly configurable, making it suitable to fit into an existing environment. The VMs use managed disks and have no dependency on storage accounts. As an operating system you can choose between Windows Server 2016 and Windows Server 2019. This template illustrates the use of nested templates, Powershell DSC, and other advanced concepts.
This will deploy 2 virtual machines, OMS and other network resources. One virtual machine without endpoint protection and other with enpoint protection installed. Perform the virus attack by following the guidlines and execute the scenario for mitigation and prevention of a virus attack.
This template creates a Front Door Premium (Preview) and an API Management instance, and uses an NSG and global API Management policy to validate that traffic has come through the Front Door origin.
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 template creates a Front Door Standard/Premium (Preview) and an Azure Storage static website, and configured Front Door to send traffic to the static website.
Deploys an autoscaling Mahara cluster with configurable Azure MySQL/Postgres and Elasticsearch. Can be configured for very small or very large sites. Deploys frontend components to a private network with a jumphost to access nodes. Requires keyed SSH access.
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.