Gain insights into diagnostic techniques and anomaly detection with over 200 trace and log analysis patterns, applicable across various software environments, operating systems, and platforms.

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

## Braid of activity
If we consider a log as a text, ignore its column structure, and search for a particular attribute value (for example, PID), we get a [message set](https://www.educative.io/courses/guide-learning-software-trace-log-analysis-patterns/flow-interleave-invariant-pattern-set). This [message set](https://www.educative.io/courses/guide-learning-software-trace-log-analysis-patterns/flow-interleave-invariant-pattern-set) consists of messages that have the searched attribute value as a column ([adjoint
thread of activity](https://www.educative.io/courses/guide-learning-software-trace-log-analysis-patterns/region-theatre-adjoint-thread-blackout-braid-group)). It also has the particular attribute value referenced in the messages’ text. We call this pattern **braid of activity**, because, metaphorically, it looks like adjoint threads of activity crossing each other (like multi-braiding).

# Braid of activity
If we consider a log as a text, ignore its column structure, and search for a particular attribute value (for example, PID), we get a [message set](https://www.educative.io/courses/guide-learning-software-trace-log-analysis-patterns/flow-interleave-invariant-pattern-set). This [message set](https://www.educative.io/courses/guide-learning-software-trace-log-analysis-patterns/flow-interleave-invariant-pattern-set) consists of messages that have the searched attribute value as a column ([adjoint
thread of activity](https://www.educative.io/courses/guide-learning-software-trace-log-analysis-patterns/region-theatre-adjoint-thread-blackout-braid-group)). It also has the particular attribute value referenced in the messages’ text. We call this pattern **braid of activity**, because, metaphorically, it looks like adjoint threads of activity crossing each other (like multi-braiding).

This lesson introduces the following analysis patterns: braid of activity, break-in activity, cord of activity, coupled activities, and delay dynamics.

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

Braid, Break-in, Cord, Coupled, Delay Dynamics

Braid of activity