azure-expert

To deploy a web application on Azure App Service, configure its database in Cosmos DB, and set up a serverless API using Azure Functions. This provides expert-level guidance and operational commands for managing these cloud-native architectures.

The best way to manage Azure resources as code is utilizing ARM templates for orchestration. This approach allows you to define and deploy cloud infrastructure like resource groups, virtual machines, and app services declaratively.

Yes, it supports serverless computing by deploying and managing Azure Functions for event-driven applications. You can configure resource groups and deploy serverless APIs alongside your web applications.

Yes, you can use Azure CLI and Python SDKs to configure virtual machines, app services, and storage. It satisfies requirements for cloud infrastructure deployment, configuration, and management across the Microsoft Azure platform.

You need ARM templates when orchestrating infrastructure as code for Azure resource deployment and configuration. They are required to consistently manage resource groups, virtual machines, and app services at scale.

The metadata focuses on deploying and managing Azure Functions for event-driven applications, interacting with Azure Storage and Cosmos DB. It does not explicitly detail specific limitations or edge cases for serverless functions.