"Async logging does not eliminate the cost of logging. It simply moves it around. The work is still there: formatting, copying, synchronization, I/O. The only question is where it is paid - and when."
"What is usually called 'async logging' is actually two very different mechanisms bundled together. One part is about how data is prepared. The other is about how it is delivered."
"Async logging is a powerful tool - when used for the right reasons. It can improve responsiveness and isolate slow outputs from critical paths. The problem is not async itself, but the assumption that it automatically makes logging cheaper."
Async logging is often perceived as a performance optimization, but it merely shifts the costs associated with logging rather than eliminating them. The processes of formatting, copying, synchronization, and I/O remain necessary, just occurring at different times or locations. While async logging can enhance responsiveness and separate slow outputs from critical paths, it does not inherently make logging cheaper. The mechanisms of async logging involve both data preparation and delivery, with significant implications for performance based on how these processes are managed in various logging libraries.
#async-logging #performance-optimization #logging-mechanisms #cost-redistribution #thread-management
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