From the course: Docker for Data Engineers
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Deploying a container to Azure Container Instances - Docker Tutorial
From the course: Docker for Data Engineers
Deploying a container to Azure Container Instances
You can confirm using the command line that the image is indeed available in our loonyacr. Simply run the command az acr repository list --name loonyacr --output in the table format. And here you can see our repository, bank_customer_churn_pred_model. We know we have a repository and an image with the same name. Let's view the tags associated with this image using the az acr repository show-tags command. We have just a single image tag, version 1.0. Now our next step is to deploy a containerized application running on Azure Container Instances using the image that we have registered with this loonyacr. In order to access this image in this repository, we need to have access to the credentials of this repository. Now in order to find out where the credentials are, head over to loonyacr, and on the left under settings, you should find an option for access keys. Select access keys, and here you'll find the password to be able to access images from this container registry. Now you need to…
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Azure Container Instances1m 34s
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Training an ML model and serializing to a pickle file5m 7s
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Setting up the Dockerfile for model prediction5m 45s
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Running a containerized app locally for churn prediction2m 23s
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Authenticating to Azure using the Azure CLI1m 35s
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Creating an Azure Container Registry and pushing the image3m 58s
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Deploying a container to Azure Container Instances4m 9s
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Making predictions using the containerized application2m 44s
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