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hey @syedg1 is the payload body available ?, if it's available you can create an alert for the payload body pattern that's related to metrics plus the error you're having. Another way also maybe helpful if you know which metric its data is being dropped is to create a Metric alert for it on certain value, you may identify first through monitoring which value of the metric its data being dropped after and set an alert on that value.
if this is useful to answer your question, please mark it as answered, so we close the issue, thank you for your question |
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The logs show transaction type likely for metrics? The forwarder logs for metrics, traces, logs? The internal metric datadog.agent.point.dropped counts dropped points (metrics). Need to check if we can tag dropped events by type. Look at agent code: forwarder/transaction.go internalProcess logs error "Payload too big" and drops transaction. The transaction includes payload type? Might have field like "kind" or "payload_type". In agent config, there is |
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Our metrics pipeline is setup such that the datadog agent forwards metrics to vector, but sends traces and logs directly to datadog (ie. enabled the metrics observability pipeline worker and configured it to vector).
Currently, I am load testing the metrics portion of the pipeline using Lading to emit dogstatsd data to the datadog agent via UDS socket to ensure that no data is being lost when forwarding to vector. However, I noticed that the following logs, which coincide with spikes in the
datadog.agent.point.droppedinternal metric.Is there any way to filter by the type of data being dropped (ie. metric, trace, log), so that we can configure our alerts to only monitor for dropped metrics?
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