Reproducibility is a cornerstone of scientific computing, yet achieving consistent results across different hardware environments remains a significant challenge in HPC research. The MINCER project tackles this problem head-on by providing researchers with an automated performance measurement appliance on Chameleon Cloud. Using Docker containers and the PAPI framework, MINCER enables standardized collection of performance metrics across CPUs, NVIDIA GPUs, and AMD GPUs, making it easier to compare results and understand how system-level factors influence computational performance. This post explores how MINCER is helping make HPC experiments more reproducible and accessible to the research community.