Explore the challenges and solutions of running Apache Spark on Kubernetes in this conference talk. Discover how to build a large-scale Spark Service on Kubernetes, focusing on autoscaling in multi-tenant environments. Learn about advanced features like physical isolation, capacity settings, bin-packing, and scale controls. Gain insights into significant CPU and memory utilization improvements for Spark on Kubernetes. Understand the elastic architecture, node group layouts, cluster autoscaling, and production status of this solution. Get key takeaways and future directions for optimizing Spark workloads in cloud-native environments.