When using Julia in a production system, it is important to have adequate logging such that one can generate useful application analytics and track down problems and respective root causes. ContextTracking.jl is a package that helps track execution context and provides a context-sensitive logger. For ease of use, there are few macros for annotating functions and memoizing contextual data.
In general, the following facilities are available:
- Use @ctx macro to annotate functions that participates in context tracking
- Use @memo macro to memorize variables in the context
- Use context function to retrieve memorized data
ContextTracking.jl can be used in conjunction of a logging library such as LoggingFacilities.jl. Since context information is available during the entire execution stack, they can be logged at the same time and allow easier debugging in a production system.
This package is thread-safe and can be used with async tasks.
Tom Kwong, CFA, is an experienced software engineer with over 25 years of industry programming experience. He has spent the majority of his career in the financial services industry. His expertise includes software architecture, design, and the development of trading/risk systems.
Since 2017, he has uncovered the Julia language and has worked on several open source packages, including SASLib.jl. He is also the author of the book Design Patterns and Best Practices with Julia, published by Packt in January 2020.
He currently works at Western Asset Management Company, a prestigious asset management company that specializes in fixed income investment services. He holds an MS degree in computer science from the University of California, Santa Barbara (from 1993), and he holds the Chartered Financial Analyst® designation since 2009.