The Future of Data on Kubernetes... Rob Strechay, Nimisha Mehta, Gabriele Bartolini & Brian Kaufman
Rob Strechay, Nimisha Mehta, Gabriele Bartolini, Brian Kaufman
KubeCon + CloudNativeCon Europe 2025 · Session
This talk, presented as a panel discussion at KubeCon EU, delves into the rapidly evolving landscape of data management on **Kubernetes**, specifically focusing on its critical role in fueling **Artificial Intelligence (AI)** and **Machine Learning (ML)** workloads. Moderated by Rob Strechay, a managing director and principal analyst, the discussion features insights from industry experts Nimisha Mehta (Confluent), Gabriele Bartolini (EDB), and Brian Kaufman (Google GKE). The panel explores the practical use cases, architectural considerations, and future trajectory of running stateful applications and data pipelines on Kubernetes, emphasizing the shift from traditional database deployments to advanced AI foundations.
AI review
This panel discussion on Data on Kubernetes for AI/ML workloads is a substantive and highly practical session. It cuts through the typical hype, focusing on concrete architectural patterns, performance optimizations, and critical defensive implications for running stateful applications and AI pipelines on Kubernetes. The speakers, all credible experts, deliver actionable insights on managing costs, optimizing storage for GPUs, and integrating streaming data with LLMs, making it a valuable resource for anyone building or securing cloud-native data platforms.