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
Please provide suggestions
