It produces a graph showing heap usage over time, including information about which parts of the program are responsible for the most memory allocations. It performs detailed heap profiling by taking regular snapshots of a program's heap. The heap profiler tool of Valgrind is called 'massif': For example, Valgrind can give you insights about the amount of memory used, and, more importantly, about possible memory leaks in your program. If you really want to know what amount of memory your application actually uses, you need to run it within a profiler. This number is correct, but:ĭoes not reflect the actual amount of memory used by the application, only the amount of memory reserved for itĬan be misleading if pages are shared, for example by several threads or by using dynamically linked libraries With ps or similar tools you will only get the amount of memory pages allocated by that process. This goes through each of the PIPESTATUS elements in turn, storing it in rc if it was greater than the previous rc value. REDIS_PID=$(ps -ef | grep redis | grep -v grep | awk ' do rc=$(($i > $rc ? $i : $rc)) done #A script to log the cpu and memory usage of linux processes namely - redis, logstash, elasticsearch and kibana Here is how the script looks like #!/bin/sh
Prior to that it appears that this has been broken sinceĪt least 'commit 51f2176d74ac ("sched/fair: Fix unlocked reads of someĬfs_b->quota/period")' which was introduced in v3.16-rc1 in 2014.I am looking for a way to log and graphically display cpu and RAM usage of linux processes over time.
'commit 512ac999d275 ("sched/fair: Fix bandwidth timer clock driftĬondition")'. The expiration of per-cpu slices was recently fixed by Results in applications not being able to utilize the quota for which Slices, and then not fully using that slice within the period. This has been root caused to threads being allocated per cpu bandwidth This use case is typical of user-interactive non-cpuīound applications, such as those running in kubernetes or mesos when Periods throttled while simultaneously not consuming the allocatedĪmount of quota. Running under cpu.cfs_quota_us constraints can hit a high percentage of
It has been observed, that highly-threaded, non-cpu-bound applications Jonathan Corbet sched/fair: Fix low cpu usage with high throttling by removing expiration of cpu-local slicesĭate: Thu, 13:44:47 -0500 Sched/fair: Fix low cpu usage with high throttling by removing expiration of cpu-local slices - Dave Chiluk archive mirror help / color / mirror / Atom feed From: Dave Chiluk
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