azure-functions

To build serverless APIs on Azure, you can use Azure Functions to develop event-driven computing backends. This allows you to create scalable microservices that automatically scale based on demand without managing infrastructure.

Azure Functions supports event-driven computing through HTTP triggers, queue processors, timer functions, and durable orchestrations. These triggers allow your serverless apps to respond to various events like HTTP requests or queue messages.

Yes, you can develop serverless applications using Azure Functions across both Python and TypeScript runtimes. This allows you to implement event-driven computing and API backends in your preferred language environment.

Azure Functions integrates seamlessly with Azure services like Storage, Cosmos DB, and Key Vault. This integration provides robust data management and secure secret handling for your serverless applications.

The best way to process queue messages or blob storage changes without managing servers is using Azure Functions. It provides queue-triggered and blob-triggered capabilities for event-driven architectures, automatically scaling with demand.

You can create a timer-triggered function using Azure Functions to run daily reports automatically. This serverless approach handles event-driven computing tasks on a schedule without requiring dedicated infrastructure management.