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Performance tuninng for Red Hat Enterprise Linux.

Talkat DevConf.CZ 2020 · 2020-01-24..01-26· [linux-and-operating-systems]
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slides:none on file

RHEL tuning uses tuned profiles via tuned to apply kernel settings at boot and runtime, and shows concrete gains: about 5% CPU, ~20% Java, and 15–50% disk/DB improvements versus RHEL7; small TCP packets improve ~25–30%. Best wins come from NUMA pinning and swap_eNOS/zone_reclaim tuning, using hugepages (static or dynamic 1GiB) and disabling transparent hugepages for latency‑sensitive DBs, plus using drop_caches for repeatable benchmarks. RHEL8 adds 5‑level page tables, NVDIMM support and Cgroups v2.

AI-written summary · about

  1. 0:00Intro
  2. 4:03RHEL tuned parameters that effect performance
  3. 8:13RHEL 8 vs RHEL 7 Workload Performance Gains
  4. 9:27RHEL 8 Performance Coverage
  5. 14:10RHEL 8 - Database tuning tips
  6. 17:42RHEL 8 Performance Open Source DBS
  7. 23:12RHEL 8 Performance Legacy DB
  8. 25:47RHEL 8 Performance DB Performance
  9. 26:09RHEL 8 Performance Summary
  10. 27:09Typical Four-Node NUMA System
  11. 28:17Tools to display CPU and Memory (NUMA)
  12. 33:50Interaction between VM Tunables and NUMA
  13. 38:572MB standard and 1GB Hugepages
  14. 41:48Transparent Hugepages
  15. 45:57dirty_ratio and dirty_background_ratio
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