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AI-Driven Production Health Monitoring and Automated Dump Analysis for Applications

Predavanje je v angleškem jeziku.

We often think of the great capabilities of Generative AI, yet practical, code-first use cases in existing applications remain confined. This session bridges that gap by unveiling a tool that I wrote to streamline .NET application monitoring and WinDbg/SOS-level dump diagnosis through AI orchestration. You will see how to leverage both the advanced reasoning and generative capabilities of LLMs, using them first to fully automate memory dump analysis and generate a report. This approach offers multiple advantages, including removing the reliance on a debugging expert, delivering instant results, and addressing critical privacy concerns. By ensuring sensitive production data is analyzed without human exposure, the process remains fully GDPR compliant. Hardcore debugging has never been this accessible.

Raffaele Rialdi

Vevy Europe

Raffaele Rialdi has a master's degree in Electronic Engineering and is a Senior Software Architect working as a consultant, speaker, and trainer. Since 2003, he has been a Microsoft MVP in the Developer Security category. He is the president of DotNetLiguria and co-founder of the Italian C++ user group. He is currently working as an architect and developer on the backend of an enterprise project with a specific focus on code generation and working on cross-platform mobile and IoT development in C# and C++ languages.

Ostala predavanja

Workshop - Understanding Generative AI

300 APP

Komentiranje v NTK aplikaciji je mogoče za potrjene udeležence NT konference.

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