Using DTrace stories
A curated collection of real-world stories demonstrating how DTrace is used to debug complex system issues.
Overview
This project is a curated collection of articles and stories that showcase practical applications of DTrace for system debugging and performance analysis. It serves as a valuable resource for developers and system administrators looking to understand how DTrace can solve real-world problems across various platforms and programming languages.
Key Features
- Real-World Examples — Demonstrates DTrace usage in debugging scenarios like kernel memory issues, slow tests, and hardware cache analysis.
- Multi-Platform Coverage — Includes stories from FreeBSD, Illumos/SmartOS, macOS, and other Unix-like systems.
- Language-Specific Debugging — Covers DTrace applications for Python, Ruby, Erlang, Rust, Node.js, and more.
- Performance Profiling — Examples of using DTrace for profiling tools like sort utilities, Django applications, and network stacks.
- FlameGraph Integration — Shows how to generate visual flame graphs for performance analysis on FreeBSD and Node.js.
Philosophy
The collection emphasizes learning through practical, documented experiences rather than theoretical explanations, highlighting DTrace's power as a dynamic tracing framework for observability and troubleshooting.
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