The recent regression https://github.com/kubernetes/kubernetes/issues/107033 shows that we need a way to automatically measure different logging configurations (structured text, JSON with and without split streams) under realistic conditions (time stamping, caller identification). System calls may affect the performance and thus writing into actual files is useful. A temp dir under /tmp (usually a tmpfs) is used, so the actual IO bandwidth shouldn't affect the outcome. The "normal" json.Factory code is used to construct the JSON logger when we have actual files that can be set as os.Stderr and os.Stdout, thus making this as realistic as possible. When discarding the output instead of writing it, the focus is more on the rest of the pipeline and changes there can be investigated more reliably. The benchmarks automatically gather "log entries per second" and "bytes per second", which is useful to know when considering requirements like the ones from https://github.com/kubernetes/kubernetes/issues/107029.
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2.1 KiB