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

**(Select all that apply.)** You have a telemetry trace from your production system that includes memory consumption per process. You want to find if there is a memory leak in your service. Choose the analysis patterns suitable for this analysis use case. 

(Select all that apply.) You have a telemetry trace from your production system that includes memory consumption per process. You want to find if there is a memory leak in your service. Choose the analysis patterns suitable for this analysis use case.

**(Select all that apply.)** You have a client log and a server log that spawns a new thread for each client request, and you want to select only messages in the server log that correspond to the particular client name. Choose the analysis patterns that may accomplish this. 

(Select all that apply.) You have a client log and a server log that spawns a new thread for each client request, and you want to select only messages in the server log that correspond to the particular client name. Choose the analysis patterns that may accomplish this.

**(Select all that apply.)** You see large periodic message blocks in the trace you collected after users reported cases of sluggishness. Choose patterns that you would use for their analysis.

(Select all that apply.) You see large periodic message blocks in the trace you collected after users reported cases of sluggishness. Choose patterns that you would use for their analysis.

Here's a short quiz to test your understanding.

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

Quiz