During December 2024, Shunyao Li developed a CRI Resource Consumption Test Suite for the Azure/telescope repository, focusing on evaluating Container Runtime Interface resource usage under varying load conditions. The suite introduced Python scripts and YAML configuration files to deploy resource-intensive workloads on Kubernetes clusters, enabling precise measurement of resource impact and cluster stability. Leveraging skills in CI/CD, cloud testing, and performance testing, Shunyao’s work provided a structured approach to stress testing and resource monitoring. The feature addressed the need for automated, reproducible performance assessments, offering a foundation for ongoing optimization of containerized environments without introducing bug fixes during the period.