We recently started working with metrics data. The application is sending metrics events with the dimensions:
component, deployment_id, timestamp_seconds_from_epoch
and metrics names: change_committed, release
We are trying to calculate the duration between deployment_id's from the time a change was committed (change_committed) and released (release) based on timestamp_seconds_from_epoch (which is a timestamp in epoch time)
We thought the transaction command would be helpful but since we arent leverage _time and instead using a custom time field called timestamp_in_epoch_time, we are having some trouble figuring out the best approach.
Here is what we currently have:
| mstats avg("change_committed") as change_committed prestats-true WHERE "index"="statsd" span=auto BY deployment_id | table _time deployment_id | append [ | mstats avg("release") as release prestats-true WHERE "index"="statsd" span=auto BY deployment_id | table _time deployment_id
Example metrics events:
change_committed:1,timestamp_seconds_from_epoch:1651096172,deployment_id:28020
release:1,timestamp_seconds_from_epoch:1651097000,deployment_id:28020
How can we track the duration of timestamp_seconds_from_epoch between a change_committed and release event for each deployment_id?
