This comprehensive human-based pattern-oriented trace and log analysis and anomaly detection training for software technical support engineers, system and network administrators, software developers and testers, DevOps and DevSecOps, digital forensics and malware analysts, data analysts and data scientists, human-assisted AI, ML and data mining includes a training course about basic analysis patterns, 5 seminar transcripts outlining foundations and various pattern language applications, and a pattern reference for more advanced analysis patterns:

This comprehensive training for software technical support engineers, system administrators, site reliability engineers, software developers, performance engineers, testers, and legacy application maintainers features:

This comprehensive training for software developers, site reliability and performance engineers teaches postmortem, live local and remote debugging techniques using Microsoft WinDbg debugger and features:

This comprehensive training for software technical support engineers, system administrators, DevOps, software developers and testers, site reliability and performance engineers teaches the analysis of all memory spaces for patterns of abnormal software behavior in process, kernel, and complete (physical) memory dumps and features:

Anolog.io is our latest cloud project for anomaly detection in software traces and logs. It consists of 4 main elements:

35 years ago:

"Considerable time, resources and money now lost on unorganized, trial-and-error approaches to storage dump debugging ..."

Daniel H. Rindfleisch, Author of "Debugging System 360/370 Programs Using OS And VS Storage Dumps"

Since then, software became much more complex and widespread. Unfortunately, today we can still quote the same phrase:

Huge amount of "time, resources and money now lost on unorganized, trial-and-error approaches to [memory] dump debugging".

Learn how to analyze application crashes and freezes, navigate through process memory dump space and diagnose corruption, memory leaks, CPU spikes, blocked threads, deadlocks, wait chains, and much more. We use a unique and innovative pattern-oriented analysis approach to speed up the learning curve. The training pack consists of practical step-by-step exercises using GDB and LLDB debuggers highlighting dozens of memory analysis patterns diagnosed in 64-bit process memory dumps from Mac OS X and Linux platforms.