This document provides tips for benchmarking MongoDB databases. It recommends creating realistic benchmarks that mimic real workloads, executing multiple runs to eliminate outliers, and methodically making single changes between runs such as varying memory or compression settings. Key steps are to measure system metrics, publish detailed results and methods so others can reproduce them, and draw conclusions by comparing different database versions or configurations. Overall it presents benchmarking as a way to gain recognition in MongoDB "bug hunts" and provides resources for learning to benchmark databases professionally.