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Hace 4 días · En este artículo, aprenderá a: Creación de una instancia de Azure Container Registry. Configurar un agente autohospedado en una máquina virtual de Azure. Configuración de la identidad de servicio administrada. Crear una conexión de servicio de Registro de Docker. Compilar y publicar la imagen de Docker en Azure Container Registry.
Hace 4 días · Build and push images to Azure Container Registry with Docker templates; Build and deploy to Azure Kubernetes Service
Hace 2 días · Download artifacts from the release build; Unpack artifacts on local folder; Perform everything locally so he/she can test and fine tune the dockerfile; Once the file is created, it is time to generate a special pipeline that is automatically triggered from the release build and can generate those docker images. The pipeline starts with this code.
Hace 5 días · I want to zip and publish a set of changelog files, making them available for all users to download directly from the Azure Artifacts feed. Users should be able to download the uploaded ZIP file simply by using the download option in the Azure Artifacts feed, without needing to use Azure CLI commands. I was using UniversalPackages@0, but it is ...
Hace 4 días · Use Azure Pipelines to push your image to a container registry such as Azure Container Registry, Docker Hub, or Google Container Registry. Azure Container Registry is a managed registry service based on the open-source Docker Registry 2.0.
Hace 1 día · Azure VMware Solution basics: Understand the core concepts, benefits, and architecture of running VMware on Azure. Migration strategies : Explore various approaches, tools, and best practices to ensure a smooth transition of your VMware workloads to Azure VMware Solution—including both live and cold migrations—to minimize downtime and disruption.
Hace 5 días · Install the package. Install the Azure ML client library for Python with pip: pip install azure-ai-ml. pip install azure-identity. Authenticate the client. from azure.ai.ml import MLClient from azure.identity import DefaultAzureCredential ml_client = MLClient( DefaultAzureCredential(), subscription_id, resource_group, workspace ) Key concepts.
