Explore a panel discussion on the fragmentation of the batch ecosystem in Kubernetes, focusing on challenges and potential solutions. Delve into the historical context of Kubernetes' focus on service-type workloads and the recent progress made in supporting batch workloads. Learn about major feature and scalability enhancements to the Job API and the establishment of the batch working group. Gain insights from industry experts as they discuss gaps in core Kubernetes batch support, functionalities that need to be pushed upstream, and areas that should remain loosely defined to avoid imposing specific semantics on batch job execution. Moderated by Abdullah Gharaibeh from Google, the panel features Diana J. Arroyo from IBM, Wilfred Spiegelenburg from Cloudera, Daniel Milroy from Lawrence Livermore National Laboratory, and Albin S, providing diverse perspectives on this critical topic in cloud-native computing.