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

# Activity region
When looking at lengthy traces with thousands and millions of messages
(trace statements), we can see **regions of activity** where the [statement
current](https://www.educative.io/courses/guide-learning-software-trace-log-analysis-patterns/quotient-singleton-sorted-density-current#Statement-density-and-current) ($J_{m}$, $msg/s$) is much higher than in surrounding temporal regions. Here is an illustration for a typical ETW/CDF trace where a middle region of activity ($J_{m2}$) signifies a system
performing some response function as a user session initialization and
application launch.

This lesson introduces the following analysis patterns: activity region, activity theater, adjoint thread of activity, blackout, and braid group.

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

Region, Theatre, Adjoint Thread, Blackout, Braid Group

Activity region