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Chapter 18. Tuning hosted control planes for low latency with the performance profile
Tune hosted control planes for low latency by applying a performance profile. With the performance profile, you can restrict CPUs for infrastructure and application containers and configure huge pages, Hyper-Threading, and CPU partitions for latency-sensitive processes.
18.1. Creating a performance profile for hosted control planes Copia collegamentoCollegamento copiato negli appunti!
You can create a cluster performance profile by using the Performance Profile Creator (PPC) tool. The PPC is a function of the Node Tuning Operator.
The PPC combines information about your cluster with user-supplied configurations to generate a performance profile that is appropriate to your hardware, topology, and use-case. The following high-level workflow creates and applys a performance profile in your cluster:
-
Gather information about your cluster by using the
must-gathercommand. - Use the PPC tool to create a performance profile.
- Apply the performance profile to your cluster.
18.1.1. Gathering data about your hosted control planes cluster for the PPC Copia collegamentoCollegamento copiato negli appunti!
The Performance Profile Creator (PPC) tool requires must-gather data. As a cluster administrator, run the must-gather command to capture information about your cluster.
Prerequisites
-
You have
cluster-adminrole access to the management cluster. -
You installed the OpenShift CLI (
oc).
Procedure
Export the management cluster
kubeconfigfile by running the following command:$ export MGMT_KUBECONFIG=<path_to_mgmt_kubeconfig>List all node pools across all namespaces by running the following command:
$ oc --kubeconfig="$MGMT_KUBECONFIG" get np -AExample output
NAMESPACE NAME CLUSTER DESIRED NODES CURRENT NODES AUTOSCALING AUTOREPAIR VERSION UPDATINGVERSION UPDATINGCONFIG MESSAGE clusters democluster-us-east-1a democluster 1 1 False False 4.17.0 False True-
The output shows the namespace
clustersin the management cluster where theNodePoolresource is defined. -
The name of the
NodePoolresource, for exampledemocluster-us-east-1a. -
The
HostedClusterthisNodePoolbelongs to. For example,democluster.
-
The output shows the namespace
On the management cluster, run the following command to list available secrets:
$ oc get secrets -n clustersExample output
NAME TYPE DATA AGE builder-dockercfg-25qpp kubernetes.io/dockercfg 1 128m default-dockercfg-mkvlz kubernetes.io/dockercfg 1 128m democluster-admin-kubeconfig Opaque 1 127m democluster-etcd-encryption-key Opaque 1 128m democluster-kubeadmin-password Opaque 1 126m democluster-pull-secret Opaque 1 128m deployer-dockercfg-8lfpd kubernetes.io/dockercfg 1 128mExtract the
kubeconfigfile for the hosted cluster by running the following command:$ oc get secret <secret_name> -n <cluster_namespace> -o jsonpath='{.data.kubeconfig}' | base64 -d > hosted-cluster-kubeconfigExample
$ oc get secret democluster-admin-kubeconfig -n clusters -o jsonpath='{.data.kubeconfig}' | base64 -d > hosted-cluster-kubeconfigTo create a
must-gatherbundle for the hosted cluster, open a separate terminal window and run the following commands:Export the hosted cluster
kubeconfigfile:$ export HC_KUBECONFIG=<path_to_hosted_cluster_kubeconfig>Example
$ export HC_KUBECONFIG=~/hostedcpkube/hosted-cluster-kubeconfig-
Navigate to the directory where you want to store the
must-gatherdata. Gather the troubleshooting data for your hosted cluster:
$ oc --kubeconfig="$HC_KUBECONFIG" adm must-gatherCreate a compressed file from the
must-gatherdirectory that was just created in your working directory. For example, on a computer that uses a Linux operating system, run the following command:$ tar -czvf must-gather.tar.gz must-gather.local.1203869488012141147
18.1.2. Running the Performance Profile Creator on a hosted cluster using Podman Copia collegamentoCollegamento copiato negli appunti!
As a cluster administrator, you can use Podman with the Performance Profile Creator (PPC) tool to create a performance profile.
For more information about PPC arguments, see "Performance Profile Creator arguments".
The PPC tool is designed to be hosted-cluster aware. When it detects a hosted cluster from the must-gather data it automatically takes the following actions:
- Recognizes that there is no machine config pool (MCP).
- Uses node pools as the source of truth for compute node configurations instead of MCPs.
-
Does not require you to specify the
node-pool-namevalue explicitly unless you want to target a specific pool.
The PPC uses the must-gather data from your hosted cluster to create the performance profile. If you make any changes to your cluster, such as relabeling a node targeted for performance configuration, you must re-create the must-gather data before running PPC again.
Prerequisites
-
Access to the cluster as a user with the
cluster-adminrole. - A hosted cluster is installed.
-
Installation of Podman and the OpenShift CLI (
oc). - Access to the Node Tuning Operator image.
-
Access to the
must-gatherdata for your cluster.
Procedure
On the hosted cluster, use Podman to authenticate to
registry.redhat.ioby running the following command:$ podman login registry.redhat.ioUsername: <user_name> Password: <password>Create a performance profile on the hosted cluster, by running the following command. The example uses sample PPC arguments and values:
$ podman run --entrypoint performance-profile-creator \ -v /path/to/must-gather:/must-gather:z \ registry.redhat.io/openshift4/ose-cluster-node-tuning-rhel9-operator:v4.21 \ --must-gather-dir-path /must-gather \ --reserved-cpu-count=2 \ --rt-kernel=false \ --split-reserved-cpus-across-numa=false \ --topology-manager-policy=single-numa-node \ --node-pool-name=democluster-us-east-1a \ --power-consumption-mode=ultra-low-latency \ --offlined-cpu-count=1 \ > my-hosted-cp-performance-profile.yamlwhere:
/path/to/must-gather:/must-gather:z-
Specifies the local directory to mount where the output of an
oc adm must-gatherwas created into the container. reserved-cpu-count=2- Specifies two reserved CPUs.
rt-kernel=false-
Specifies whether to disable the real-time kernel. A setting of
falsedisables the kernel. split-reserved-cpus-across-numa=false-
Specifies whether to split CPUs across NUMA nodes. A setting of
falsedisables the CPU-splitting. topology-manager-policy=single-numa-node-
Specifies the NUMA topology policy. If installing the NUMA Resources Operator, this must be set to
single-numa-node. power-consumption-mode=ultra-low-latency- Specifies minimal latency at the cost of increased power consumption.
offlined-cpu-count=1- Specifies one offlined CPU.
Example output
level=info msg="Nodes names targeted by democluster-us-east-1a pool are: ip-10-0-129-110.ec2.internal " level=info msg="NUMA cell(s): 1" level=info msg="NUMA cell 0 : [0 2 1 3]" level=info msg="CPU(s): 4" level=info msg="2 reserved CPUs allocated: 0,2 " level=info msg="1 isolated CPUs allocated: 1" level=info msg="Additional Kernel Args based on configuration: []Review the created YAML file by running the following command:
$ cat my-hosted-cp-performance-profileExample output
--- apiVersion: v1 data: tuning: | apiVersion: performance.openshift.io/v2 kind: PerformanceProfile metadata: creationTimestamp: null name: performance spec: cpu: isolated: "1" offlined: "3" reserved: 0,2 net: userLevelNetworking: false nodeSelector: node-role.kubernetes.io/worker: "" numa: topologyPolicy: single-numa-node realTimeKernel: enabled: false workloadHints: highPowerConsumption: true perPodPowerManagement: false realTime: true status: {} kind: ConfigMap metadata: name: performance namespace: clusters
18.1.3. Configuring low-latency tuning in a hosted cluster Copia collegamentoCollegamento copiato negli appunti!
To set low latency with the performance profile on the nodes in your hosted cluster, you can use the Node Tuning Operator. In hosted control planes, you can configure low-latency tuning by creating config maps that contain Tuned objects and referencing those config maps in your node pools.
The tuned object in this case is a PerformanceProfile object that defines the performance profile you want to apply to the nodes in a node pool.
Procedure
Export the management cluster
kubeconfigfile by running the following command:$ export MGMT_KUBECONFIG=<path_to_mgmt_kubeconfig>Create the
ConfigMapobject in the management cluster by running the following command:$ oc --kubeconfig="$MGMT_KUBECONFIG" apply -f my-hosted-cp-performance-profile.yamlEdit the
NodePoolobject in theclustersnamespace adding thespec.tuningConfigfield and the name of the created performance profile in that field by running the following command:$ oc edit np -n clustersapiVersion: hypershift.openshift.io/v1beta1 kind: NodePool metadata: annotations: hypershift.openshift.io/nodePoolCurrentConfig: 2f752a2c hypershift.openshift.io/nodePoolCurrentConfigVersion: 998aa3ce hypershift.openshift.io/nodePoolPlatformMachineTemplate: democluster-us-east-1a-3dff55ec creationTimestamp: "2025-04-09T09:41:55Z" finalizers: - hypershift.openshift.io/finalizer generation: 1 labels: hypershift.openshift.io/auto-created-for-infra: democluster name: democluster-us-east-1a namespace: clusters ownerReferences: - apiVersion: hypershift.openshift.io/v1beta1 kind: HostedCluster name: democluster uid: af77e390-c289-433c-9d29-3aee8e5dc76f resourceVersion: "53056" uid: 11efa47c-5a7b-476c-85cf-a274f748a868 spec: tuningConfig: - name: performance arch: amd64 clusterName: democluster management:NoteYou can reference the same profile in multiple node pools. In hosted control planes, the Node Tuning Operator appends a hash of the node pool name and namespace to the name of the
Tunedcustom resources to distinguish them. After you make the changes, the system detects that a configuration change is required and starts a rolling update of the nodes in that pool to apply the new configuration.
Verification
List all node pools across all namespaces by running the following command:
$ oc --kubeconfig="$MGMT_KUBECONFIG" get np -AExample output
NAMESPACE NAME CLUSTER DESIRED NODES CURRENT NODES AUTOSCALING AUTOREPAIR VERSION UPDATINGVERSION UPDATINGCONFIG MESSAGE clusters democluster-us-east-1a democluster 1 1 False False 4.17.0 False TrueNoteThe
UPDATINGCONFIGfield indicates whether the node pool is in the process of updating its configuration. During this update, theUPDATINGCONFIGfield in the node pool’s status becomesTrue. The new configuration is considered fully applied only when theUPDATINGCONFIGfield returns toFalse.List all config maps in the
clusters-democlusternamespace by running the following command:$ oc --kubeconfig="$MGMT_KUBECONFIG" get cm -n clusters-democlusterExample output
NAME DATA AGE aggregator-client-ca 1 69m auth-config 1 68m aws-cloud-config 1 68m aws-ebs-csi-driver-trusted-ca-bundle 1 66m ... 1 67m kubelet-client-ca 1 69m kubeletconfig-performance-democluster-us-east-1a 1 22m ... ovnkube-identity-cm 2 66m performance-democluster-us-east-1a 1 22m ... tuned-performance-democluster-us-east-1a 1 22mThe output shows a kubeletconfig
kubeletconfig-performance-democluster-us-east-1aand a performance profileperformance-democluster-us-east-1ahas been created. The Node Tuning Operator syncs theTunedobjects into the hosted cluster. You can verify whichTunedobjects are defined and which profiles are applied to each node.List available secrets on the management cluster by running the following command:
$ oc get secrets -n clustersExample output
NAME TYPE DATA AGE builder-dockercfg-25qpp kubernetes.io/dockercfg 1 128m default-dockercfg-mkvlz kubernetes.io/dockercfg 1 128m democluster-admin-kubeconfig Opaque 1 127m democluster-etcd-encryption-key Opaque 1 128m democluster-kubeadmin-password Opaque 1 126m democluster-pull-secret Opaque 1 128m deployer-dockercfg-8lfpd kubernetes.io/dockercfg 1 128mExtract the
kubeconfigfile for the hosted cluster by running the following command:$ oc get secret <secret_name> -n clusters -o jsonpath='{.data.kubeconfig}' | base64 -d > hosted-cluster-kubeconfigExample
$ oc get secret democluster-admin-kubeconfig -n clusters -o jsonpath='{.data.kubeconfig}' | base64 -d > hosted-cluster-kubeconfigExport the hosted cluster kubeconfig by running the following command:
$ export HC_KUBECONFIG=<path_to_hosted-cluster-kubeconfig>Verify that the kubeletconfig is mirrored in the hosted cluster by running the following command:
$ oc --kubeconfig="$HC_KUBECONFIG" get cm -n openshift-config-managed | grep kubeletExample output
kubelet-serving-ca 1 79m kubeletconfig-performance-democluster-us-east-1a 1 15mVerify that the
single-numa-nodepolicy is set on the hosted cluster by running the following command:$ oc --kubeconfig="$HC_KUBECONFIG" get cm kubeletconfig-performance-democluster-us-east-1a -o yaml -n openshift-config-managed | grep singleExample output
topologyManagerPolicy: single-numa-node