Session

Event Processing on the Edge at scale using Kubernetes native technologies

As organizations generate massive volumes of data from IoT devices, sensors, and other edge systems, the demand for real-time processing at the edge has increased. Edge computing enables low-latency processing, reduces bandwidth usage, and supports time-critical decision-making by moving computation closer to the data source.

This talk introduces Numaflow, Intuit's kubernetes native open-source platform for event processing, and its role in simplifying edge event consumption and processing. Attendees will learn how Numaflow ensures seamless autoscaling to handle dynamic event workloads, guarantees no data loss through its fault-tolerant architecture, and integrates effortlessly within edge environments. The session will also share how the community is leveraging Numaflow for use cases such as IoT data processing and radio signal processing, showcasing its versatility and impact in real-world scenarios

Sri Harsha Yayi

Staff Product Manager, Intuit

Palo Alto, California, United States

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