MJTelco, a startup with innovative optical communications hardware patents, is scaling its proof-of-concept (PoC) to support over 50,000 installations. They aim to refine their machine-learning models and maintain three separate operating environments: development/test, staging, and production. Given their need to dynamically scale compute power for their Google Cloud Dataflow pipeline as data flows increase, which configuration setting should be updated?