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• Kubernetes is used for batch processing in high energy physics data analysis, allowing for scaling up to hundreds of thousands of cores with minimal failure rates.
• Kubernetes also enables the use of heterogeneous architectures, such as ARM and GPU resources, for data analysis.
• Interactive analysis facilities using Jupiter and Dask are also implemented using Kubernetes, allowing for dynamic scaling of resources.
• The presentation includes anecdotes of successful use of Kubernetes in simulating events on ARM resources and scaling up task clusters for faster data analysis.