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## How can we view raw data and not aggregate every minute in Dynatrace?

Participant

We are integrating data from K6 into Dynatrace using metric API - https://k6.io/docs/results-output/real-time/dynatrace/
K6 is ingesting 6 data points for a minute - but dynatrace is aggregating the data across those 6 data points but they are looking to see how can we not aggregate the data for a minute in Dynatrace

Below table shows they sent 10 data points for a metric

 data:{"time":"2023-09-08T10:38:13.2067109-05:00" value 67.38 data:{"time":"2023-09-08T10:38:23.0113171-05:00" value 69.66 data:{"time":"2023-09-08T10:38:33.0136266-05:00" value 63.24 data:{"time":"2023-09-08T10:38:43.0240259-05:00" value 63.24 data:{"time":"2023-09-08T10:38:53.0269623-05:00" value 61.76 data:{"time":"2023-09-08T10:39:03.032395-05:00" value 59.2205 data:{"time":"2023-09-08T10:39:13.0439243-05:00" value 60.5196 data:{"time":"2023-09-08T10:39:23.0481963-05:00" value 63.354 data:{"time":"2023-09-08T10:39:33.0678128-05:00" value 77.1408 data:{"time":"2023-09-08T10:39:43.0538723-05:00" value 59.6212

But Dynatrace data for every minute, so there is a mismatch in calculation in Dynatrace compared to K6

 Test Time 10:38 - 10:43 Metric Name K6 Metrics Dynatrace Metrics api/v2/metrics/ingest data Resolution 5 Mins Average 64.51 65.1 64.51409 64.5 Minimum 59.22 61.8 59.2205 59.2 Median 63.24 65.1 63.23985 64.5 Max 77.14 77.1 77.1408 77.1 90th % 70.41 65.1 70.40637 64.5 95% 73.77 65.1 73.773585 64.5

They could use Max, but they are interested in seeing 90th and 95th percentile metrics which is huge difference compared the metrics from K6 calculation