15장.

15.1.
링크 복사

참고

15.1.1.
링크 복사

참고

15.1.2.
링크 복사

$ oc label node <node_name> node-role.kubernetes.io/worker-cnf=""

1

apiVersion: machineconfiguration.openshift.io/v1
kind: MachineConfigPool
metadata:
  name: worker-cnf


  labels:
    machineconfiguration.openshift.io/role: worker-cnf


spec:
  machineConfigSelector:
    matchExpressions:
      - {
           key: machineconfiguration.openshift.io/role,
           operator: In,
           values: [worker, worker-cnf],
        }
  paused: false
  nodeSelector:
    matchLabels:
      node-role.kubernetes.io/worker-cnf: ""

1
2
3

$ oc apply -f mcp-worker-cnf.yaml

machineconfigpool.machineconfiguration.openshift.io/worker-cnf created

$ oc get mcp

NAME         CONFIG                                                 UPDATED   UPDATING   DEGRADED   MACHINECOUNT   READYMACHINECOUNT   UPDATEDMACHINECOUNT   DEGRADEDMACHINECOUNT   AGE
master       rendered-master-58433c7c3c1b4ed5ffef95234d451490       True      False      False      3              3                   3                     0                      6h46m
worker       rendered-worker-168f52b168f151e4f853259729b6azc4       True      False      False      2              2                   2                     0                      6h46m
worker-cnf   rendered-worker-cnf-168f52b168f151e4f853259729b6azc4   True      False      False      1              1                   1                     0                      73s

15.1.3.
링크 복사

```
$ oc adm must-gather
```

$ tar cvaf must-gather.tar.gz <must_gather_folder>

1

참고

15.1.4.
링크 복사

중요

$ oc get mcp

NAME         CONFIG                                                 UPDATED   UPDATING   DEGRADED   MACHINECOUNT   READYMACHINECOUNT   UPDATEDMACHINECOUNT   DEGRADEDMACHINECOUNT   AGE
master       rendered-master-58433c8c3c0b4ed5feef95434d455490       True      False      False      3              3                   3                     0                      8h
worker       rendered-worker-668f56a164f151e4a853229729b6adc4       True      False      False      2              2                   2                     0                      8h
worker-cnf   rendered-worker-cnf-668f56a164f151e4a853229729b6adc4   True      False      False      1              1                   1                     0                      79m

$ podman login registry.redhat.io

Username: <user_name>
Password: <password>

$ podman run --rm --entrypoint performance-profile-creator registry.redhat.io/openshift4/ose-cluster-node-tuning-rhel9-operator:v4.15 -h

A tool that automates creation of Performance Profiles

Usage:
  performance-profile-creator [flags]

Flags:
      --disable-ht                        Disable Hyperthreading
  -h, --help                              help for performance-profile-creator
      --info string                       Show cluster information; requires --must-gather-dir-path, ignore the other arguments. [Valid values: log, json] (default "log")
      --mcp-name string                   MCP name corresponding to the target machines (required)
      --must-gather-dir-path string       Must gather directory path (default "must-gather")
      --offlined-cpu-count int            Number of offlined CPUs
      --per-pod-power-management          Enable Per Pod Power Management
      --power-consumption-mode string     The power consumption mode.  [Valid values: default, low-latency, ultra-low-latency] (default "default")
      --profile-name string               Name of the performance profile to be created (default "performance")
      --reserved-cpu-count int            Number of reserved CPUs (required)
      --rt-kernel                         Enable Real Time Kernel (required)
      --split-reserved-cpus-across-numa   Split the Reserved CPUs across NUMA nodes
      --topology-manager-policy string    Kubelet Topology Manager Policy of the performance profile to be created. [Valid values: single-numa-node, best-effort, restricted] (default "restricted")
      --user-level-networking             Run with User level Networking(DPDK) enabled

$ podman run --entrypoint performance-profile-creator -v <path_to_must_gather>:/must-gather:z registry.redhat.io/openshift4/ose-cluster-node-tuning-rhel9-operator:v4.15 --info log --must-gather-dir-path /must-gather

level=info msg="Cluster info:"
level=info msg="MCP 'master' nodes:"
level=info msg=---
level=info msg="MCP 'worker' nodes:"
level=info msg="Node: host.example.com (NUMA cells: 1, HT: true)"
level=info msg="NUMA cell 0 : [0 1 2 3]"
level=info msg="CPU(s): 4"
level=info msg="Node: host1.example.com (NUMA cells: 1, HT: true)"
level=info msg="NUMA cell 0 : [0 1 2 3]"
level=info msg="CPU(s): 4"
level=info msg=---
level=info msg="MCP 'worker-cnf' nodes:"
level=info msg="Node: host2.example.com (NUMA cells: 1, HT: true)"
level=info msg="NUMA cell 0 : [0 1 2 3]"
level=info msg="CPU(s): 4"
level=info msg=---

$ podman run --entrypoint performance-profile-creator -v <path_to_must_gather>:/must-gather:z registry.redhat.io/openshift4/ose-cluster-node-tuning-rhel9-operator:v4.15 --mcp-name=worker-cnf --reserved-cpu-count=1 --rt-kernel=true --split-reserved-cpus-across-numa=false --must-gather-dir-path /must-gather --power-consumption-mode=ultra-low-latency --offlined-cpu-count=1 > my-performance-profile.yaml

참고

level=info msg="Nodes targeted by worker-cnf MCP are: [worker-2]"
level=info msg="NUMA cell(s): 1"
level=info msg="NUMA cell 0 : [0 1 2 3]"
level=info msg="CPU(s): 4"
level=info msg="1 reserved CPUs allocated: 0 "
level=info msg="2 isolated CPUs allocated: 2-3"
level=info msg="Additional Kernel Args based on configuration: []"

$ cat my-performance-profile.yaml

---
apiVersion: performance.openshift.io/v2
kind: PerformanceProfile
metadata:
  name: performance
spec:
  cpu:
    isolated: 2-3
    offlined: "1"
    reserved: "0"
  machineConfigPoolSelector:
    machineconfiguration.openshift.io/role: worker-cnf
  nodeSelector:
    node-role.kubernetes.io/worker-cnf: ""
  numa:
    topologyPolicy: restricted
  realTimeKernel:
    enabled: true
  workloadHints:
    highPowerConsumption: true
    perPodPowerManagement: false
    realTime: true

$ oc apply -f my-performance-profile.yaml

performanceprofile.performance.openshift.io/performance created

15.1.5.
링크 복사

중요

```
$ vi run-perf-profile-creator.sh
```

#!/bin/bash

readonly CONTAINER_RUNTIME=${CONTAINER_RUNTIME:-podman}
readonly CURRENT_SCRIPT=$(basename "$0")
readonly CMD="${CONTAINER_RUNTIME} run --entrypoint performance-profile-creator"
readonly IMG_EXISTS_CMD="${CONTAINER_RUNTIME} image exists"
readonly IMG_PULL_CMD="${CONTAINER_RUNTIME} image pull"
readonly MUST_GATHER_VOL="/must-gather"

NTO_IMG="registry.redhat.io/openshift4/ose-cluster-node-tuning-rhel9-operator:v4.15"
MG_TARBALL=""
DATA_DIR=""

usage() {
  print "Wrapper usage:"
  print "  ${CURRENT_SCRIPT} [-h] [-p image][-t path] -- [performance-profile-creator flags]"
  print ""
  print "Options:"
  print "   -h                 help for ${CURRENT_SCRIPT}"
  print "   -p                 Node Tuning Operator image"
  print "   -t                 path to a must-gather tarball"

  ${IMG_EXISTS_CMD} "${NTO_IMG}" && ${CMD} "${NTO_IMG}" -h
}

function cleanup {
  [ -d "${DATA_DIR}" ] && rm -rf "${DATA_DIR}"
}
trap cleanup EXIT

exit_error() {
  print "error: $*"
  usage
  exit 1
}

print() {
  echo  "$*" >&2
}

check_requirements() {
  ${IMG_EXISTS_CMD} "${NTO_IMG}" || ${IMG_PULL_CMD} "${NTO_IMG}" || \
      exit_error "Node Tuning Operator image not found"

  [ -n "${MG_TARBALL}" ] || exit_error "Must-gather tarball file path is mandatory"
  [ -f "${MG_TARBALL}" ] || exit_error "Must-gather tarball file not found"

  DATA_DIR=$(mktemp -d -t "${CURRENT_SCRIPT}XXXX") || exit_error "Cannot create the data directory"
  tar -zxf "${MG_TARBALL}" --directory "${DATA_DIR}" || exit_error "Cannot decompress the must-gather tarball"
  chmod a+rx "${DATA_DIR}"

  return 0
}

main() {
  while getopts ':hp:t:' OPT; do
    case "${OPT}" in
      h)
        usage
        exit 0
        ;;
      p)
        NTO_IMG="${OPTARG}"
        ;;
      t)
        MG_TARBALL="${OPTARG}"
        ;;
      ?)
        exit_error "invalid argument: ${OPTARG}"
        ;;
    esac
  done
  shift $((OPTIND - 1))

  check_requirements || exit 1

  ${CMD} -v "${DATA_DIR}:${MUST_GATHER_VOL}:z" "${NTO_IMG}" "$@" --must-gather-dir-path "${MUST_GATHER_VOL}"
  echo "" 1>&2
}

main "$@"

```
$ chmod a+x run-perf-profile-creator.sh
```

$ podman login registry.redhat.io

Username: <user_name>
Password: <password>

$ ./run-perf-profile-creator.sh -h

Wrapper usage:
  run-perf-profile-creator.sh [-h] [-p image][-t path] -- [performance-profile-creator flags]

Options:
   -h                 help for run-perf-profile-creator.sh
   -p                 Node Tuning Operator image
   -t                 path to a must-gather tarball
A tool that automates creation of Performance Profiles

Usage:
  performance-profile-creator [flags]

Flags:
      --disable-ht                        Disable Hyperthreading
  -h, --help                              help for performance-profile-creator
      --info string                       Show cluster information; requires --must-gather-dir-path, ignore the other arguments. [Valid values: log, json] (default "log")
      --mcp-name string                   MCP name corresponding to the target machines (required)
      --must-gather-dir-path string       Must gather directory path (default "must-gather")
      --offlined-cpu-count int            Number of offlined CPUs
      --per-pod-power-management          Enable Per Pod Power Management
      --power-consumption-mode string     The power consumption mode.  [Valid values: default, low-latency, ultra-low-latency] (default "default")
      --profile-name string               Name of the performance profile to be created (default "performance")
      --reserved-cpu-count int            Number of reserved CPUs (required)
      --rt-kernel                         Enable Real Time Kernel (required)
      --split-reserved-cpus-across-numa   Split the Reserved CPUs across NUMA nodes
      --topology-manager-policy string    Kubelet Topology Manager Policy of the performance profile to be created. [Valid values: single-numa-node, best-effort, restricted] (default "restricted")
      --user-level-networking             Run with User level Networking(DPDK) enabled

참고

$ ./run-perf-profile-creator.sh -t /<path_to_must_gather_dir>/must-gather.tar.gz -- --info=log

level=info msg="Cluster info:"
level=info msg="MCP 'master' nodes:"
level=info msg=---
level=info msg="MCP 'worker' nodes:"
level=info msg="Node: host.example.com (NUMA cells: 1, HT: true)"
level=info msg="NUMA cell 0 : [0 1 2 3]"
level=info msg="CPU(s): 4"
level=info msg="Node: host1.example.com (NUMA cells: 1, HT: true)"
level=info msg="NUMA cell 0 : [0 1 2 3]"
level=info msg="CPU(s): 4"
level=info msg=---
level=info msg="MCP 'worker-cnf' nodes:"
level=info msg="Node: host2.example.com (NUMA cells: 1, HT: true)"
level=info msg="NUMA cell 0 : [0 1 2 3]"
level=info msg="CPU(s): 4"
level=info msg=---

$ ./run-perf-profile-creator.sh -t /path-to-must-gather/must-gather.tar.gz -- --mcp-name=worker-cnf --reserved-cpu-count=1 --rt-kernel=true --split-reserved-cpus-across-numa=false --power-consumption-mode=ultra-low-latency --offlined-cpu-count=1 > my-performance-profile.yaml

참고

$ cat my-performance-profile.yaml

---
apiVersion: performance.openshift.io/v2
kind: PerformanceProfile
metadata:
  name: performance
spec:
  cpu:
    isolated: 2-3
    offlined: "1"
    reserved: "0"
  machineConfigPoolSelector:
    machineconfiguration.openshift.io/role: worker-cnf
  nodeSelector:
    node-role.kubernetes.io/worker-cnf: ""
  numa:
    topologyPolicy: restricted
  realTimeKernel:
    enabled: true
  workloadHints:
    highPowerConsumption: true
    perPodPowerManagement: false
    realTime: true

$ oc apply -f my-performance-profile.yaml

performanceprofile.performance.openshift.io/performance created

15.1.6.
링크 복사

Expand

표 15.1.

Expand

표 15.2.

	주의

	참고 `Error: failed to compute the reserved and isolated CPUs: please ensure that reserved-cpu-count plus offlined-cpu-count should be in the range [0,1]` `Error: failed to compute the reserved and isolated CPUs: please specify the offlined CPU count in the range [0,1]`

15.1.7.
링크 복사

15.1.7.1.
링크 복사

apiVersion: performance.openshift.io/v2
kind: PerformanceProfile
metadata:
  name: cnf-performanceprofile
spec:
  additionalKernelArgs:
    - nmi_watchdog=0
    - audit=0
    - mce=off
    - processor.max_cstate=1
    - idle=poll
    - intel_idle.max_cstate=0
    - default_hugepagesz=1GB
    - hugepagesz=1G
    - intel_iommu=on
  cpu:
    isolated: <CPU_ISOLATED>
    reserved: <CPU_RESERVED>
  hugepages:
    defaultHugepagesSize: 1G
    pages:
      - count: <HUGEPAGES_COUNT>
        node: 0
        size: 1G
  nodeSelector:
    node-role.kubernetes.io/worker: ''
  globallyDisableIrqLoadBalancing: true
  realTimeKernel:
    enabled: false

15.1.7.2.
링크 복사

apiVersion: performance.openshift.io/v2
kind: PerformanceProfile
metadata:
  # if you change this name make sure the 'include' line in TunedPerformancePatch.yaml
  # matches this name: include=openshift-node-performance-${PerformanceProfile.metadata.name}
  # Also in file 'validatorCRs/informDuValidator.yaml':
  # name: 50-performance-${PerformanceProfile.metadata.name}
  name: openshift-node-performance-profile
  annotations:
    ran.openshift.io/reference-configuration: "ran-du.redhat.com"
spec:
  additionalKernelArgs:
    - "rcupdate.rcu_normal_after_boot=0"
    - "efi=runtime"
    - "vfio_pci.enable_sriov=1"
    - "vfio_pci.disable_idle_d3=1"
    - "module_blacklist=irdma"
  cpu:
    isolated: $isolated
    reserved: $reserved
  hugepages:
    defaultHugepagesSize: $defaultHugepagesSize
    pages:
      - size: $size
        count: $count
        node: $node
  machineConfigPoolSelector:
    pools.operator.machineconfiguration.openshift.io/$mcp: ""
  nodeSelector:
    node-role.kubernetes.io/$mcp: ''
  numa:
    topologyPolicy: "restricted"
  # To use the standard (non-realtime) kernel, set enabled to false
  realTimeKernel:
    enabled: true
  workloadHints:
    # WorkloadHints defines the set of upper level flags for different type of workloads.
    # See https://github.com/openshift/cluster-node-tuning-operator/blob/master/docs/performanceprofile/performance_profile.md#workloadhints
    # for detailed descriptions of each item.
    # The configuration below is set for a low latency, performance mode.
    realTime: true
    highPowerConsumption: false
    perPodPowerManagement: false

15.1.7.3.
링크 복사

apiVersion: performance.openshift.io/v2
kind: PerformanceProfile
metadata:
  # if you change this name make sure the 'include' line in TunedPerformancePatch.yaml
  # matches this name: include=openshift-node-performance-${PerformanceProfile.metadata.name}
  # Also in file 'validatorCRs/informDuValidator.yaml':
  # name: 50-performance-${PerformanceProfile.metadata.name}
  name: openshift-node-performance-profile
  annotations:
    ran.openshift.io/reference-configuration: "ran-du.redhat.com"
spec:
  additionalKernelArgs:
    - "rcupdate.rcu_normal_after_boot=0"
    - "efi=runtime"
    - "vfio_pci.enable_sriov=1"
    - "vfio_pci.disable_idle_d3=1"
    - "module_blacklist=irdma"
  cpu:
    isolated: $isolated
    reserved: $reserved
  hugepages:
    defaultHugepagesSize: $defaultHugepagesSize
    pages:
      - size: $size
        count: $count
        node: $node
  machineConfigPoolSelector:
    pools.operator.machineconfiguration.openshift.io/$mcp: ""
  nodeSelector:
    node-role.kubernetes.io/$mcp: ''
  numa:
    topologyPolicy: "restricted"
  # To use the standard (non-realtime) kernel, set enabled to false
  realTimeKernel:
    enabled: true
  workloadHints:
    # WorkloadHints defines the set of upper level flags for different type of workloads.
    # See https://github.com/openshift/cluster-node-tuning-operator/blob/master/docs/performanceprofile/performance_profile.md#workloadhints
    # for detailed descriptions of each item.
    # The configuration below is set for a low latency, performance mode.
    realTime: true
    highPowerConsumption: false
    perPodPowerManagement: false

15장.

15.1.
링크 복사

15.1.1.
링크 복사

15.1.2.
링크 복사

15.1.3.
링크 복사

15.1.4.
링크 복사

15.1.5.
링크 복사

15.1.6.
링크 복사

15.1.7.
링크 복사

15.1.7.1.
링크 복사

15.1.7.2.
링크 복사

15.1.7.3.
링크 복사

자세한 정보

평가판, 구매 및 판매

커뮤니티

Red Hat 문서 정보

보다 포괄적 수용을 위한 오픈 소스 용어 교체

Red Hat 소개

Theme

Red Hat legal and privacy links

Red Hat legal and privacy links

15장.

15.1. 링크 복사링크가 클립보드에 복사되었습니다!

15.1.1. 링크 복사링크가 클립보드에 복사되었습니다!

15.1.2. 링크 복사링크가 클립보드에 복사되었습니다!

15.1.3. 링크 복사링크가 클립보드에 복사되었습니다!

15.1.4. 링크 복사링크가 클립보드에 복사되었습니다!

15.1.5. 링크 복사링크가 클립보드에 복사되었습니다!

15.1.6. 링크 복사링크가 클립보드에 복사되었습니다!

15.1.7. 링크 복사링크가 클립보드에 복사되었습니다!

15.1.7.1. 링크 복사링크가 클립보드에 복사되었습니다!

15.1.7.2. 링크 복사링크가 클립보드에 복사되었습니다!

15.1.7.3. 링크 복사링크가 클립보드에 복사되었습니다!

자세한 정보

평가판, 구매 및 판매

커뮤니티

Red Hat 문서 정보

보다 포괄적 수용을 위한 오픈 소스 용어 교체

Red Hat 소개

Theme

Red Hat legal and privacy links

Red Hat legal and privacy links

15.1.
링크 복사

15.1.1.
링크 복사

15.1.2.
링크 복사

15.1.3.
링크 복사

15.1.4.
링크 복사

15.1.5.
링크 복사

15.1.6.
링크 복사

15.1.7.
링크 복사

15.1.7.1.
링크 복사

15.1.7.2.
링크 복사

15.1.7.3.
링크 복사