Projective, Relative, Shared, Sheaf, Small DA+TA
Understand and apply essential trace set analysis patterns including projective space, relative density, shared points, and sheaf of activities. Learn how these patterns help isolate issues across multiple trace files and environments, enhancing your ability to troubleshoot and detect anomalies effectively in software logs and traces.
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Projective space
When we have a split trace with hundreds of separate trace files and a smaller split trace with fewer files that were recorded simultaneously with the larger split-trace (for example, a client from a client-server environment), we can “project” the smaller message space into the larger message space as depicted in the following diagram:
This projective space analysis pattern can be used in conjunction with indexical trace, where time interval can be used as an index for the larger split trace. Such projections may not be completely accurate but, assuming that the target trace statement current is uniform on average, it can still be a perfect heuristic instead of a binary search. For example, recently, we had four sequential trace files for the client and 36 ...