Nikhil Kathole
Principal Software Engineer, Red Hat
Pune, India
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Nikhil is a Principal Software Engineer at Red Hat, working on Red Hat OpenShift AI (RHOAI), focused on building Feature Store and contributing to Feast (https://feast.dev/) upstream project across Feature Server performance improvements, Registry REST API server, Kubernetes Scaling/HA operations, Observability, OpenLineage and GenAI/RAG integrations. He is enthusiastic about Open Source Technologies and previously he contributed to the foreman and fedora communities.
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Feast as a Cloud Native Data System: Bridging Batch Processing and Online Serving on Kubernetes
Modern AI and GenAI platforms running on Kubernetes depend on derived data that must be processed in batch and served with low latency. Teams often stitch together data processing engines, object stores, databases, and caching layers, creating operational complexity and inconsistent data access patterns.
This session presents Feast as a cloud native data system that bridges batch processing and online serving on Kubernetes. We explore how Feast integrates with Kubernetes-native data engines such as Spark and Ray, reuses existing data lakes and warehouses as offline stores, and materializes data into online stores optimized for real-time access.
Using Open Data Hub and the Feast Operator, the talk demonstrates a Kubernetes-native architecture for managing data pipelines. Attendees will learn practical design patterns and operational trade-offs for building scalable, cloud native data platforms that support ML and RAG workloads without introducing new data silos.
Nikhil Kathole
Principal Software Engineer, Red Hat
Pune, India
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