Self-Aware Applications - Automatic Production Monitoring

Explore techniques for creating self-aware applications that can automatically monitor, diagnose, and potentially recover from production issues in this comprehensive conference talk. Learn how to harness ETW for low-level monitoring, utilize Windows performance counters for zero-overhead statistics, and leverage the CLRMD library to inspect threads, heap objects, and locks in modern Windows applications built with .NET or C++. Discover practical demonstrations of automatic CPU profiling, GC monitoring, heap analysis for memory leak detection, and deadlock detection. Gain valuable tools and techniques to implement self-monitoring in your own applications, reducing the time and effort required for diagnosing and correcting production problems.

Intro
Motivation
Master Plan
Lightweight Monitoring
Halfway Monitoring Tools
Invasive Analysis APIs
(Self) CPU-Profiling
(Self) GC-Monitoring
(Self) Heap Analysis
(Self) Deadlock Detection