How is data aggregated for a histogram in Datadog?

In Datadog, when aggregating data for a histogram, the system sends the minimum, maximum, sum, average, and count of all datapoints. This approach provides a comprehensive overview of the data distribution. By capturing these statistics, Datadog enables users to analyze the data effectively, allowing for insights into trends and patterns over time.

This method of aggregation is crucial because it helps to paint a complete picture of the dataset, not just a single aspect like the highest value or the average. The inclusion of both the min and max values assists in understanding the range and spread of the data, while the sum and count help in calculating the average. By combining these various metrics, users can visualize their data in a more meaningful and informative way, making it easier to diagnose issues and optimize performance.