General trace and log analysis patterns allow the application of uniform diagnostics and anomaly detection across diverse software environments. It includes troubleshooting, debugging, describing, and explaining problems and incidents on various operating systems and platforms. It is also helpful in recording network traces, malware, general data, narratives, and text and image analysis (space-like narratology). This course, organized as a pattern language dictionary and cross-referenced with classification, explains and teaches more than 200 traces and log analysis patterns.

A Guide to Learning Software Trace and Log Analysis Patterns

## Message flow
**Message flow** trace and log analysis pattern generalizes NetFlow to software narratives. We count messages based on the set of [adjoint threads of activity](https://www.educative.io/courses/guide-learning-software-trace-log-analysis-patterns/region-theatre-adjoint-thread-blackout-braid-group), like PID and TID. This also subsumes network traces aggregated by Src.Dst. Individual attributes can also be used, like aggregation by [thread of activity](https://www.educative.io/courses/guide-learning-software-trace-log-analysis-patterns/ruptured-strand-thread-time-delta-timeout-weave) and message sets.

# Message flow
**Message flow** trace and log analysis pattern generalizes NetFlow to software narratives. We count messages based on the set of [adjoint threads of activity](https://www.educative.io/courses/guide-learning-software-trace-log-analysis-patterns/region-theatre-adjoint-thread-blackout-braid-group), like PID and TID. This also subsumes network traces aggregated by Src.Dst. Individual attributes can also be used, like aggregation by [thread of activity](https://www.educative.io/courses/guide-learning-software-trace-log-analysis-patterns/ruptured-strand-thread-time-delta-timeout-weave) and message sets.

This lesson introduces the following analysis patterns: message flow, message interleave, message invariant, message pattern, and message set.

Getting Started

Activity

Block and Data

Error and Large Scale

Message 1

Message 2

Trace as a Whole

Trace Set

Vocabulary, Memory, Code and Text

Conclusion

Index

Flow, Interleave, Invariant, Pattern, Set

Message flow