Lazy-loading is a technique used by Sentry to improve the efficiency of their user interface by reducing the time it takes for data to load. This is achieved by splitting data into two parallel requests, allowing users to see some data immediately after the first request finishes. The results show that this approach leads to a 22% faster UI and almost half a second saved in load time. By using lazy-loading, Sentry can provide their customers with accurate error data while also scaling to meet the demands of large-scale enterprises. This technique is particularly useful for organizations that push code multiple times per hour, as it helps to mitigate the impact of lagging data sets on user experience.