The text discusses the design and development of a heatmap visualization tool for analyzing performance data from multiple hosts in an infrastructure. The tool uses distribution metrics to represent high-resolution data and provides insights into statistical distributions across the entire infrastructure. To achieve this, it employs a combination of techniques such as binning, logarithmic color scales, and rendering optimization. The text highlights the importance of choosing the right tradeoffs along various aspects, such as color scale or rendering technique, to deliver an optimal solution for a given problem. It also showcases the benefits of using unaggregated data visualization, including unveiling seasonality and patterns in data that aggregations and sampling can often hide.