How Cargo engineers a smarter go-to-market process with Temporal

This post details Cargo's implementation of event-driven GTM workflows, data synchronization (ETL), and AI workflow orchestration using Temporal. It emphasizes the shift from treating Workflows as job queues to lightweight state machines, pushing heavier data into Activities for improved performance. A code example demonstrates a Temporal Workflow that runs an orchestration 'run' by iterating through an execution graph via `executeNode` Activities, handling failures with `finishRun`, and durably persisting progress.