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I see these random massive peaks in metrics being reported. By massive im talking in the order of thousands to tens of thousands. When I go and check our APM to see how many times this metric should have been emitted it is not even close to the expected metric value. Sometimes the API wouldn't have been called at all and there are still metrics emitted as if it has been hit.
What is the expected behavior?
Metrics to not be reported that should not be being reported.
What is the actual behavior?
Phantom metrics being reported in datadog.
Additional context
None
The text was updated successfully, but these errors were encountered:
@elebiodaslingshot I suspect this is related to changing hosts, though it's hard to say without knowing more about your setup. I've seen a similar problem in my running applications and described my working solution elsewhere.
Metrics are reported periodically even if there is no change in value (no API request would have been made in your case).
This would make sense if the instrument was a gage, but its a counter; so I would expect a correlation to log of an api hit and a metric being exported.
Cloud: AWS
Runtime: Docker
Python Version: 3.11
Otel Version: 1.20.0
Collector: Otel-collector
Steps to reproduce
Describe exactly how to reproduce the error. Include a code sample if applicable.
init.py to configure provider:
Code usage:
I see these random massive peaks in metrics being reported. By massive im talking in the order of thousands to tens of thousands. When I go and check our APM to see how many times this metric should have been emitted it is not even close to the expected metric value. Sometimes the API wouldn't have been called at all and there are still metrics emitted as if it has been hit.
What is the expected behavior?
Metrics to not be reported that should not be being reported.
What is the actual behavior?
Phantom metrics being reported in datadog.
Additional context
None
The text was updated successfully, but these errors were encountered: