Designing a Production‑Ready tf.data Pipeline for Scalable ML Ingestion
A concise architecture note on building a scalable, fault‑tolerant tf.data pipeline for production ML services, covering requirements, minimal design, trust boundaries, checks, failures, and redesign triggers.
tensorflow