Embodiments of the present invention provide an approach for policy-driven (e.g., price-sensitive) scaling of computing resources in a networked computing environment (e.g., a cloud computing environment). In a typical embodiment, a workload request for a customer will be received and a set of computing resources available to process the workload request will be identified. It will then be determined whether the set of computing resources are sufficient to process the workload request. If the set of computing resources are under-allocated (or are over-allocated), a resource scaling policy may be accessed. The set of computing resources may then be scaled based on the resource scaling policy, so that the workload request can be efficiently processed while maintaining compliance with the resource scaling policy.