Performance Analysis and Tuning of Red Hat Enterprise Linux

Performance Analysis and Tuning of Red Hat Enterprise Linux

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Cgroup how-to

22 of 33

22 of 33

Cgroup how-to

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Performance Analysis and Tuning of Red Hat Enterprise Linux

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  1. 1 Intro
  2. 2 Red Hat Enterprise Linux Performance Evolution
  3. 3 Industry Standard Benchmark Results 4/2014
  4. 4 RHEL Benchmark platform of choice 2014
  5. 5 RHEL Performance Coverage
  6. 6 Red Hat Performance RHEL7 RC1 vs R6.5
  7. 7 Tuned: Storage Performance Boost
  8. 8 Tuned: Network Throughput Boost
  9. 9 Tuned: Network Latency Performance Boost
  10. 10 Tuned: Profile Inheritance
  11. 11 RHEL "tuned" package
  12. 12 RHEL NUMA Scheduler
  13. 13 Automatic NUMA Balancing - balanced
  14. 14 NUMA Nodes and Zones
  15. 15 Tools to display CPU and Memory (NUMA)
  16. 16 RHEL7 Database Performance Improvements Autonuma-Balance
  17. 17 Autonuma-balance and numad aligns process memory and CPU threads within nodes
  18. 18 numastat shows guest memory alignment
  19. 19 Resource Management using cgroups Ability to manage large system resources effectively Control Group (Cgroups) for CPU/Memory/Network Disk
  20. 20 C-group Dynamic resource control
  21. 21 Cgroup default mount points RHELG
  22. 22 Cgroup how-to
  23. 23 Correct bindings
  24. 24 cpu.shares default
  25. 25 Cgroup node migration
  26. 26 Cgroup automation with Libvirt and Docker
  27. 27 RHEL Scheduler Tunables
  28. 28 Finer Grained Scheduler Tuning
  29. 29 Load Balancing
  30. 30 fork() behavior
  31. 31 RHEL Hugepages/ VM Tuning Standard HugePages 2MB
  32. 32 2MB standard Hugepages
  33. 33 1GB Hugepages

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