based on https://docs.digitalocean.com/products/droplets/how-to/track-performance/#retrieve-performance-data-via-api I’m using get_droplet_cpu_metrics from python. I see the response has data like
[1759276800, ‘2341741.67’] [1759277016, ‘2341821.27’] [1759277232, ‘2341982.4699999997’] [1759277448, ‘2342070.5’] [1759277664, ‘2342244.26’] [1759277880, ‘2342407.7800000003’] [1759278096, ‘2342589.83’] [1759278312, ‘2342787.4400000004’] [1759278528, ‘2342873.01’] [1759278744, ‘2343055.73’] [1759278960, ‘2343297.16’] [1759279176, ‘2343484.9299999997’] [1759279392, ‘2343662.73’] [1759279608, ‘2343761.48’] [1759279824, ‘2343958.73’] [1759280040, ‘2344179.69’] [1759280256, ‘2344215.2199999997’] [1759280472, ‘2344323.87’] [1759280688, ‘2344429.52’] [1759280904, ‘2344636.58’]
the first value looks like an epoch time
What is the second value?
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Accepted Answer
Hi there,
The first value is the timestamp in epoch time, and the second value is the cumulative CPU time in milliseconds. To get the actual CPU usage, you need to calculate the difference between consecutive points and divide by the time interval.
You can check an example of how to do this here: https://www.digitalocean.com/community/questions/calculating-cpu-usage-from-the-monitoring-api
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