This session will demonstrate the simplicity of bursting workloads to the AWS cloud. Bursting allows researchers to augment on-premises cluster capabilities by leveraging AWS' compute options, scale, and on-demand availability. This enables researchers to track technology advancements, access limited or unavailable on-premises hardware, and run longer and/or larger-scale jobs, all as needed, scaling to zero when not in use. Cloud resources are presented and accessed via the familiar on-premises scheduler interface, eliminating the need for researchers to have cloud skills. The scheduler can also be leveraged to manage cloud spending at both the job and project level, addressing researchers' concerns about cloud costs.