This book will help you analyze traces and logs from different software environments and
communicate analysis results using a pattern language that covers everything from a small
debugging log to a distributed trace with billions of messages from hundreds of computers
thousands of software components threads and processes. The book begins with the basic
terminology of operating systems and programming the foundation for understanding trace and
log analysis. It then talks about patterns that help describe problems from a user's view and
patterns for errors and failures. Then the book covers a range of trace patterns that group
messages and explores how logs depict software activities. It even examines specific message
patterns and how they connect in a single trace. Moving forward you'll review patterns for
multiple traces and logs and how to evaluate them. In this way you can use similar methods to
find problems across a wide variety of software. The book also provides guidance for analyzing
issues on systems such as Windows macOS Linux Android iOS and other types of computers
including those in networks and the Internet of Things regardless of their system differences.
Upon completing this book you will be able to navigate the complexities of trace and log
analysis and apply uniform diagnostics and anomaly detection pattern language across diverse
software environments to help you troubleshoot debug and fix issues. What You Will Learn
Understand pattern language for trace and log analysis Gain a pattern-oriented methodology for
trace and log analysis applicable to various domains including cybersecurity Master the
fundamentals of operating systems and programming related to trace and log analysis Understand
observed behavior in traces and logs which aids incident response diagnostics root cause
analysis troubleshooting and debugging Who This Book Is ForSoftware technical support
engineers system and network administrators software developers testers DevOps and
DevSecOps digital forensics and malware analysts security incident response engineers data
analysts and data mining practitioners.
