Inference on Streaming Data at Scale Using Numaflow
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Learn about Numaflow, a Kubernetes-native open-source platform for scalable event processing, in this conference talk from Intuit engineers. Discover how ML teams tackled challenges with high-throughput streaming data processing and inference by developing a solution that simplifies connections to various messaging systems like Kafka, Pulsar, and SQS. Explore how Numaflow enables seamless event processing and inference workflows without a steep learning curve, while effectively handling scaling based on event volumes. Gain valuable insights into asynchronous inference on streaming data, particularly relevant for ML engineers and data scientists working with large-scale data processing systems.