Accelerated .NET Memory Dump Analysis: Training Course Transcript with WinDbg and LLDB Practice Exercises, Seventh Edition
Language: English
Published by Opentask, 2025
- Softcover
- New
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Title
- Accelerated .NET Memory Dump Analysis: Training Course Transcript with WinDbg and LLDB Practice Exercises, Seventh Edition
- Author
- Vostokov, Dmitry
- Publisher
- Opentask
- Publication year
- 2025
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1912636875
- ISBN 13
- 9781912636877
- Series
- Book 12 of 15: Windows Internals Supplements
The full Software Diagnostics Services training transcript with 15 step-by-step exercises, notes, and source code of specially created modeling applications. The course covers 22 .NET memory dump analysis patterns, plus the additional 21 unmanaged patterns. Learn how to analyze .NET 9 application and service crashes and freezes, navigate through memory dump space (managed and unmanaged code), and diagnose corruption, leaks, CPU spikes, blocked threads, deadlocks, wait chains, resource contention, and more. The training consists of practical step-by-step exercises using WinDbg and LLDB debuggers to diagnose patterns in 64-bit process memory dumps from x64 Windows and x64 Linux environments. The training uses a unique and innovative pattern-oriented analysis approach to speed up the learning curve. The book is a completely revamped and extended the previous Accelerated .NET Core Memory Dump Analysis, Revised Edition. It is updated to the latest WinDbg. It also includes reviews of x64 and IL disassembly and memory space basics, Linux LLDB exercises, .NET memory dump collection on Windows and Linux, and the relationship of analysis patterns to defect mechanism patterns.
Prerequisites: Basic .NET programming and debugging.
Audience: Software technical support and escalation engineers, system administrators, DevOps, performance and reliability engineers, software developers, and quality assurance engineers. The book may also interest security researchers, reverse engineers, malware and memory forensics analysts.
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