MLOps Game Changer | Feast with DragonflyDB | Complete Demo

Description

Get started with DragonflyDB for FREE: https://rebrand.ly/Dragonfly-AV In this video, I demonstrated how to migrate your Feast online feature store from Redis to DragonflyDB and why this move can drastically improve your MLOps performance and scalability. Whether you’re running Feast in production or experimenting in your MLOps lab, this video will help you understand how to optimize your online feature store for low latency and high throughput without changing your existing application code. We’ll explore: ✅ Step-by-step migration from Redis to DragonflyDB ✅ How DragonflyDB outperforms Redis in memory efficiency and latency ✅ Architectural differences that make DragonflyDB more scalable for feature serving ✅ Real-world benchmarks and deployment insights ✅ How to address Training-Serving Skew problem in simple steps. 📘 Topics Covered: - Feast Online Store overview - Redis vs DragonflyDB comparison - Configuration and setup - Quick migration - Useful resources: https://www.dragonflydb.io/blog/building-a-feature-store-with-feast-duckdb-and-dragonfly https://www.dragonflydb.io/blog/feature-store-architecture-and-storage GitHub Repo used in the video: https://github.com/iam-veeramalla/feast-with-dragonflydb/ #Feast #DragonflyDB #MLOps #FeatureStore #MachineLearning #RedisMigration #PerformanceOptimization