This post discusses how Temporal, an open-source workflow engine, can be used to build a robust solution for a media processing problem that requires high reliability and fault tolerance. The problem involves obtaining sensor data from various IoT vendors, transforming the data, and making it available internally within a company. The post covers how Temporal handles failure modes in a developer-friendly way, provides testing frameworks, and allows for easy scalability as more workflows are triggered. It also highlights key concepts relevant to a media processing workflow such as Activity Options, the Session API, and visibility into workflow executions.