Learn how OpenAI built StreamLink, a high-performance streaming ingestion platform powered by Apache Flink that handles over 30+ GiB/s of real-time data ingestion from Kafka into Delta Lake and Apache Iceberg tables. Discover the architecture behind this Kubernetes-native deployment using the Flink K8s Operator that supports 1000+ datasets across 20+ teams while maintaining reliability and operational efficiency. Explore how StreamLink enables large-scale, real-time ingestion in OpenAI's lakehouse architecture, examine the adaptive autoscaling and self-service onboarding mechanisms that keep operations fast and lean, and gain practical insights into best practices and design patterns for building scalable streaming systems at enterprise scale. Understand how this streaming infrastructure powers the next generation of real-time, AI-driven analytics and supports the data needs of both humans and AI systems in a modern lakehouse environment.