The "pressure stall information" looks interesting. It's exponentially weighted moving averages of the fraction of time "some" or "full" (all non-idle) tasks ar

The "pressure stall information" looks interesting. It's exponentially weighted moving averages of the fraction of time "some" or "full" (all non-idle) tasks are stalled on each of CPU, memory, and IO. Also a counter of absolute time. [1] Printing this seems like a good addition to "Linux Performance Analysis in 60,000 Milliseconds". [2] More useful that the load average printed by uptime, which hasn't aged well. Linux mixes cpu-bound and io-bound stuff into one bucket [3] which is a terrible idea, and the number of tasks is confusing at best when you have a mix of thread-per-CPU and thread-per-connection stuff running. Looks like it's also exported on a per-cgroups basis, which is great. [1] http://git.cmpxchg.org/cgit.cgi/linux-psi.git/tree/Documentation/accounting/psi.txt http://git.cmpxchg.org/cgit.cgi/linux-psi.git/tree/Documenta... [2] https://medium.com/netflix-techblog/linux-performance-analysis-in-60-000-milliseconds-accc10403c55 https://medium.com/netflix-techblog/linux-performance-analys... [3] http://www.brendangregg.com/blog/2017-08-08/linux-load-averages.html http://www.brendangregg.com/blog/2017-08-08/linux-load-avera...