There is no doubt that Grafana is a powerful tool for creating useful graphs, but what do you do when you have too much data? With a large amount of data comes two common visualization problems of slow dashboards and noisy data.
Downsampling hyperfunctions were created to fix exactly that:
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asap_smooth creates readable graphs that preserve the rough shape and larger trends of the input data, while minimizing the local variance between points. -
lttb aims to retain visual similarity between the downsampled data and the original dataset.
To learn more about how to use these downsampling hyperfunctions to increase dashboard performance and smooth data for better insights, check out Slow Grafana Performance? Learn How to Fix It Using Downsampling.
Please let us know if you have any questions or feedback on these or any other hyperfunctions! 