For which use case would AWS Lambda be most suited?

AWS Lambda is specifically designed for serverless computing, where it excels at handling event-driven tasks without the need to provision or manage servers. The use case of processing real-time file uploads is a perfect fit for AWS Lambda because it allows developers to set up triggers that automatically invoke a Lambda function when a file is uploaded to a storage service like Amazon S3. This enables immediate and scalable processing of the files without any delay in response time.

For this scenario, Lambda can perform various operations, such as data transformation, validation, or triggering further processes that depend on the uploaded files. Since Lambda only charges for the actual compute time consumed and can scale automatically to handle varying loads, it is highly cost-effective and efficient for processing events in real-time.

Other options, while they may involve AWS services, don't align as well with Lambda’s strengths. Running large-scale web servers typically requires more than just event-driven, short-lived tasks and often involves managing stateful services and connections, which contradicts the statelessness principle of Lambda. Database management generally requires more persistent resource management than what Lambda provides, as databases often involve complex transactions and state management that aren't suited for short-lived executions. Hosting static websites is best accomplished through services designed for that purpose, such as Amazon