Autonuma-balance and numad aligns process memory and CPU threads within nodes
18
numastat shows guest memory alignment
19
Resource Management using cgroups Ability to manage large system resources effectively Control Group (Cgroups) for CPU/Memory/Network Disk
20
C-group Dynamic resource control
21
Cgroup default mount points RHELG
22
Cgroup how-to
23
Correct bindings
24
cpu.shares default
25
Cgroup node migration
26
Cgroup automation with Libvirt and Docker
27
RHEL Scheduler Tunables
28
Finer Grained Scheduler Tuning
29
Load Balancing
30
fork() behavior
31
RHEL Hugepages/ VM Tuning Standard HugePages 2MB
32
2MB standard Hugepages
33
1GB Hugepages
Description:
Explore performance analysis and tuning techniques for Red Hat Enterprise Linux versions 5, 6, and 7 beta systems in this comprehensive conference talk from the 2014 Red Hat Summit. Discover how to configure systems for optimal performance across various applications, evaluate heavily loaded systems, and maximize their efficiency. Learn about hardware features affecting performance and how the Red Hat Enterprise Linux kernel leverages them. Gain insights into the latest performance analysis tools and techniques for identifying bottlenecks in system and application performance. Understand system tuning parameters and their application in resolving performance issues for database servers, Internet servers, and financial applications. Delve into topics such as RHEL performance evolution, benchmark results, NUMA scheduling, resource management using cgroups, scheduler tunables, and hugepages/VM tuning.
Performance Analysis and Tuning of Red Hat Enterprise Linux