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Training: Advanced Software Trace and Log Analysis

Improve your Diagnostic Expertise with Pattern-Oriented Diagnostic Thinking.

Since the introduction of Accelerated Windows Software Trace Analysis course 3 years ago the number of trace and log analysis patterns has doubled. This pattern language has also been applied to the analysis of malware narratives and network trace analysis. We now introduce a general diagnostic training that covers more than 120 trace and log analysis patterns developed up to date by Software Diagnostics Institute. To see what does this training look like, please check the slides from the similar past Accelerated Windows Software Trace Analysis training that covers only approx. 60 trace and log analysis patterns. The new training also covers the pattern content of the previous Accelerated training and independent from it.

The training consists of 4 one-hour sessions (1 hour every day). When you finish the training you additionally get:

  1. A full transcript in PDF format (retail price $100)
  2. Software Trace and Log Analysis: A Pattern Reference PDF book (retail price $20)
  3. A personalized attendance certificate with unique CID (PDF format)
  4. Free Software Diagnostics Library membership with access to more than 120 cross-referenced patterns of trace and log analysis and much more

Prerequisites: Basic software troubleshooting using logs.

Audience: Software technical support and escalation engineers, system administrators, security researchers, network forensics analysts, software maintenance engineers, and all interested in software diagnostics.

Price: 100 USD

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The registration is closed. The PDF version of this training will be available in August 2016.

If you are mainly interested in Windows memory dump analysis there is another scheduled training available in early March:

Accelerated Windows Memory Dump Analysis

If you are mainly interested in Mac OS X or Linux core dump analysis there are another courses available:

Accelerated Mac OS X Core Dump Analysis

Accelerated Linux Core Dump Analysis