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显示所有的 9 个模板。通过搜索优化结果。
A template that creates a new Azure Machine Learning workspace. Optionally, you can enable encryption for data at rest in the workspace, and data stored by the workspace in Azure Cosmos DB.
A template for creating a new Azure Container Registry with geo-replication
A template that creates Azure Machine Learning workspace with private endpoints and resources behind VNET
This template creates an AKS compute target in given Azure Machine Learning service workspace with a private IP address.
Containers make it very easy for you to continuously build and deploy your applications. By orchestrating deployment of those containers using Kubernetes in Azure Container Service, you can achieve replicable, manageable clusters of containers. By setting up a continuous build to produce your container images and orchestration, you can increase the speed and reliability of your deployment.
This template allows you to deploy an instance of Jenkins on a DS1_v2 size Linux Ubuntu 14.04 LTS VM and an Azure Container Registry. It also includes an optional ACR pipeline.
[DEPRECATED] Please use the 'Azure Spinnaker' or 'Continuous Deployment to Kubernetes' template instead.
This template allows you to deploy and configure a DevOps pipeline from an Azure Container Registry to a Kubernetes cluster. It deploys an instance of Jenkins on a Linux Ubuntu 14.04 LTS VM and an instance of Spinnaker on the same Kubernetes cluster that your pipeline will target. The Jenkins instance will include a basic pipeline that checks out a user-provided git repository, builds the Docker container based on the Dockerfile at the root of the repo, and pushes the image to the provisioned Azure Container Registry. The Spinnaker instance will include a basic pipeline that is triggered by any new tag in the registry and deploys the image to the provisioned Kubernetes cluster.