Async Logging Is Not a Silver Bullet — What Actually Limits Performance

Async logging is often treated as an obvious optimization.
It isn’t.
It just moves the cost somewhere else.
This idea sounds simple: synchronous logging blocks, async logging doesn’t — so it must be faster.
But once you look at what actually happens inside the system, the picture becomes very different.
Libraries like Quill are built around asynchronous pipelines. Others, like spdlog, support both synchronous and asynchronous modes. Some systems — including logme — deliberately mix synchronous formatting with asynchronous output.
Despite these differences, they all run into the same fundamental constraints.















