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

# Backtrace
Usually, when we analyze traces and find an [anchor message](https://www.educative.io/courses/guide-learning-software-trace-log-analysis-patterns/adjoint-anchor-causal-chains-history-messages) or [error
message](https://www.educative.io/courses/guide-learning-software-trace-log-analysis-patterns/value-message-distribution-powerset-thread), we backtrack using a combination of data flow and [message sets](https://www.educative.io/courses/guide-learning-software-trace-log-analysis-patterns/flow-interleave-invariant-pattern-set). Then we select the appropriate log messages to form a backtrace, which can lead to a possible root cause message.

# Counter value
This pattern covers performance monitoring and its logs. **Counter value** is some variable in memory—for example, module variable memory analysis pattern—that is updated periodically to reflect some aspect of state or that is calculated from different variables and presented in trace messages. We can organize such messages in a format that is similar to ETW based traces. We usually consider such examples for our trace patterns:

This lesson introduces the following analysis patterns: backtrace, counter value, data association, data flow, and data interval.

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

Backtrace, Counter, Association, Flow, Interval

Backtrace

Counter value