I posted this elsewhere, but there's performance data from Red Hat Performance Engineering in this blog post. (Numbers for Linux obviously.)
Can you share more?
> Measureable: 8-12% - Highly cached random memory, with buffered I/O, OLTP database workloads, and benchmarks with high kernel-to-user space transitions are impacted between 8-12%. Examples include Oracle OLTP (tpm), MariaBD (sysbench), Postgres(pgbench), netperf (< 256 byte), fio (random IO to NvME).
> Modest: 3-7% - Database analytics, Decision Support System (DSS), and Java VMs are impacted less than the “Measureable” category. These applications may have significant sequential disk or network traffic, but kernel/device drivers are able to aggregate requests to moderate level of kernel-to-user transitions. Examples include SPECjbb2005 w/ucode and SQLserver, and MongoDB.
[ADDED: It's back. Was pulled back to make some changes.]
It talks about a significant slowdown, 8%-19% for OLTP Workloads (tpc), sysbench, pgbench, netperf (< 256 byte), and fio (random I/O to NvME). 3%-7% for Database analytics, Decision Support System (DSS), and Java VMs