Online Training: Accelerated Linux Core Dump Analysis

Software Diagnostics Services organizes this online training course.

May 24 - May 26 2022 6.30pm - 8.30pm (GMT+1) Price 99 USD Registration

Learn how to analyze Linux process and kernel crashes and hangs, navigate through core memory dump space and diagnose corruption, memory leaks, CPU spikes, blocked threads, deadlocks, wait chains, and much more. This training uses a unique and innovative pattern-oriented diagnostic analysis approach to speed up the learning curve. The training consists of more than 20 practical step-by-step exercises using GDB and WinDbg debuggers highlighting more than 50 memory analysis patterns diagnosed in 64-bit core memory dumps from x64 and ARM64 platforms. The training also includes source code of modeling applications, a catalog of relevant patterns from Software Diagnostics Institute, and an overview of relevant similarities and differences between Windows and Linux memory dump analysis useful for engineers with Wintel background.

Prerequisites: Basic Linux user skills.

Audience: Software technical support and escalation engineers, system administrators, security researchers, reverse engineers, malware and memory forensics analysts, software developers, DevSecOps and SRE, and quality assurance engineers. The training is based on the forthcoming 2nd edition of the bestselling Accelerated Linux Core Dump Analysis book and will be fully containerized.

Slides from the previous version of this training

Training outline:

  • Day 1: Overview. Process core dump analysis.
  • Day 2: Process core dump analysis. Kernel crash dump analysis.
  • Day 3: Kernel crash dump analysis. Additional Q&A and memory dump analysis if necessary. Tests.
  • Before the training you get:

    After the training, you also get:

    • The updated PDF book version of the training.
    • Personalized Certificate of Attendance with unique CID.
    • Optional Personalized Certificate of Completion with unique CID (after the tests).
    • Answers to questions during training sessions.
    • New recording.