The Three Pillars of Scalable Data Processing

Every unit of work in a data processing system should aspire to be small, independently processable, and consistently sized. When these three properties hold, scaling becomes almost trivially simple. Reality rarely cooperates, which is why understanding these properties matters so much for platform engineering.