The correct option is Serverless function platforms.

Serverless function platforms let engineers deploy short lived server side code without managing servers or clusters. They provide automatic scaling and pay per execution and many providers accept container images so packaging code in containers is compatible with the requirement. The provider manages runtime, scaling, and infrastructure so the team does not need to operate virtual machines or orchestrate a cluster.

Kubernetes managed clusters run containers at scale but even managed control planes still require deployment, configuration, and operational oversight. They are better suited to long lived services and complex orchestration than to tiny ephemeral functions that must be fully managed by the cloud provider.

Edge computing focuses on running workloads close to users to reduce latency and distribute processing, and it does not specifically match the requirement for a fully managed platform for short lived server side code. Some edge offerings can be serverless but that is not the primary fit for the question.

Virtual machines provide full operating system instances that must be provisioned and managed and they do not offer the same automatic, pay per invocation model for ephemeral workloads. VMs are generally used for longer lived services rather than function style, short lived code.

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