by Jonathan Mace, Ryan Roelke, and Rodrigo Fonseca
Pivot Tracing is a monitoring framework for distributed systems that can seamlessly correlate statistics across applications, components, and machines at runtime, without needing to change or redeploy system code. Users can define and install monitoring queries on-the-fly, to collect arbitrary statistics from one point in the system while being able to select, filter, and group by events meaningful at other points in the system. Pivot Tracing does not correlate cross-component events using expensive global aggregations, nor does it perform offline analysis. Instead, Pivot Tracing directly correlates events as they happen, by piggybacking metadata alongside requests as they execute – even across component and machine boundaries. This gives Pivot Tracing a very low runtime overhead – less than 1% for many cross-component monitoring queries.
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