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- Learn to store, build, and manage container images using Azure Container Registry for AI applications on Azure.
After completing this module, you'll be able to:
- Explain how Azure Container Registry organizes images using registries, repositories, and artifacts
- Build and manage container images in the cloud using ACR Tasks
- Implement tagging and versioning strategies for reliable container deployments
- Use the Azure CLI to manage container images and run ACR quick tasks
- Learn how to deploy and manage containerized applications on Azure App Service by configuring container sources, runtime settings, application configuration, and diagnostics.
After completing this module, you'll be able to:
- Deploy custom containers to Azure App Service from container registries.
- Configure container runtime behavior including startup commands, port settings, and persistent storage.
- Configure application settings and connection strings in App Service.
- Observe and troubleshoot containerized applications using App Service diagnostic tools.
- Learn how to choose, configure, connect, and troubleshoot sidecar containers for AI applications on Azure App Service.
After completing this module, you'll be able to:
- Explain when an App Service sidecar fits a tightly coupled AI application component.
- Configure main and sidecar containers, target ports, environment variables, and private registry authentication.
- Implement container communication over localhost and file exchange through the shared /home volume.
- Diagnose sidecar image pull, startup, resource, and connectivity failures.
