Human-Friendly, Production-Ready Data Science Stack With Metaflow and Kubernetes

Explore a 32-minute conference talk on building a human-friendly, production-ready data science stack using Metaflow and Kubernetes. Discover how Savin Goyal from Outerbounds and Saravanan Balasubramanian from Intuit address the need for tools and workflows that cater to data scientists who are not software engineers by training. Learn about Metaflow, an open-source framework developed at Netflix, which powers hundreds of business-critical ML projects across various industries. Gain insights into providing an optimal user experience for data scientists, allowing them to focus on modeling while offering robust solutions for foundational infrastructure. Watch a demonstration of the latest work built on top of Kubernetes and understand what to expect from a modern ML infrastructure stack. Benefit from lessons learned at Netflix and other companies on boosting data science productivity using tools like Metaflow and Kubernetes.