Sponsored by: Onehouse | From JVM Gymnastics to Vectorized Performance in One K8s Operator Deploy

You open the Spark UI and watch your executors doing full JVM gymnastics. Heap/off-heap flips, Tungsten memory juggling, GC pauses, and shuffle spills everywhere. Dynamic allocation struggles, podTemplate nightmares, and memoryOverhead prayers are the daily norm. In this 20-minute lightning talk I’ll show you how to drop a new Kubernetes Operator into your Spark-on-K8s cluster and instantly unlock a high-performance vectorized native execution engine. Zero code changes, no new APIs, no rewrites. You’ll see exactly how the operator reconciles every SparkApplication CR and SparkExecutorPod, replacing the JVM gymnastics with true native performance. Plus real production results: 3x+ faster workloads and 40-60% lower cloud spend. Leave with a clear, actionable playbook to upgrade Spark on Kubernetes in one operator deploy.