Pivot Tracing: Dynamic Causal Monitoring for Distributed Systems

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.

For more information, visit the project website at http://pivottracing.io

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People Involved

Jonathan Mace

Jonathan Mace

PhD Student (2012)

Distributed Systems, Operating Systems

Ryan Roelke

Ryan Roelke

MSc 2015
Rodrigo Fonseca

Rodrigo Fonseca

Assistant Professor of Computer Science

Group Director

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