Is point overloading* recommended for capturing metrics before and after a particular event?
* I say point overloading in referring to how InfluxDB handles writing duplicate points since it is a mechanism to add new fields to an existing point.
Let me paint a picture:
- Application with asynchronous queue processing (e.g. Kafka)
- Want metrics around events picked up for processing and events having been processed
- Measurement would be concrete class with single purpose containing multiple metrics (e.g. latency, number of records, number successfully processed, number failed, etc)
I realize this would require emitting multiple points for the same measurement + tag set + timestamp. The only other ways I can see this information being captured is 1) multiple measurements or 2) tag with multiple values.
Thoughts?
