Scalability testing in Kubernetes has long been considered a demanding and enigmatic process. In this presentation, we aim to dispel the obscurity surrounding this subject, beginning with a comprehensive analysis of existing solutions such as Kubemark. We will explore potential areas for improvement: for instance, transforming from N hollow nodes to a single central controller while maintaining a memory footprint under 100MB, thus making it possible to conduct a 5k node/50k pod test on a laptop.

We will then illustrate the utilization of KWOK for YuniKorn's scalability testing. Given KWOK's low resource demands, we will demonstrate its seamless integration into popular CI pipelines such as Github Actions. This allows early detection of performance degradation within the development workflow. Our discourse aims to elucidate a path toward more efficient and effective Kubernetes scalability testing and set the stage for innovative developments in the field.