Introducing Anolog.io - Anomaly Detection in Logs
Anolog.io is our latest cloud project for anomaly detection in software traces and logs. It consists of 4 main elements:
Anolog.io is our latest cloud project for anomaly detection in software traces and logs. It consists of 4 main elements:
For the number of years, we were developing high-end software diagnostics, forensics, prognostics solutions but we never named the implementation of the underlying technology for pattern-oriented methodology developed by Software Diagnostics Institute. For Better Analysis of Crashes and Hangs for Analysis Improvement we name it BACH.Technology for AI®TM.
Contains reprinted articles in full color (including 170 figures) from ten volumes of Memory Dump Analysis Anthology related to pattern-oriented software diagnostics with additional comments showing the historical development of this autonomous and distinctive discipline over the last 12 years. Some articles from the forthcoming volume 11 are also included. In addition to 13 new articles, the second edition also includes one relevant article from Debugged!
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.
This comprehensive training for software technical support engineers, system administrators, software developers and testers features:
This comprehensive training is for security researchers, malware and digital forensic analysts who have never used WinDbg debugger from Microsoft Debugging Tools for Windows for the analysis of computer memory. The course is also useful for technical support and escalation engineers who analyse memory dumps from complex software environments and need to delve deeper into abnormal software structure and behavior. The training pack features:
Complete Pattern-Oriented Software Diagnostics Training Pack features 10 training courses, 150 hands-on exercises, 2,300 pages of training books, and free named Software Diagnostics Library membership with access to the vast collection of patterns and case studies.
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