Repeat, Scale, Flux, Frames, Viewpoints, Use Case
Learn to analyze software traces through patterns like sequence repeat anomaly, time scale adjustments, trace flux, and frame types. Understand subjective viewpoints and use case trails to unravel complex log behaviors, enhancing your diagnostic and anomaly detection skills across software environments.
We'll cover the following...
Sequence repeat anomaly
Sometimes we have periodic message blocks of a few adjacent messages, such as when flags are translated into separate messages per bit. Then we may have a pattern of sequence repeat anomaly. In this, one of several message blocks has either fewer or additional messages, while we expected it to be identical to other message blocks. Then, missing message, message context may be explored further. The following diagram illustrates the pattern:
The name of the pattern comes from the notion of repeated DNA sequences.
Time scale
A software trace or log can be analyzed using different time scales. The coarser the scale, the more messages are included in time intervals. Such per-interval message sets can be analyzed and transformed into one message using analysis patterns such as significant event, ...