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Examples and demos
Table of contents
This page contains usage examples and demos.
Demos
Usage demo
Demo use case
A demo on the benefits of using node feature discovery can be found in the source code repository under demo/.
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You can reach us via the following channels:
This is a SIG-node subproject, hosted under the Kubernetes SIGs organization in Github. The project was established in 2016 and was migrated to Kubernetes SIGs in 2018.
This is open source software released under the Apache 2.0 License.
You can reach us via the following channels:
This is a SIG-node subproject, hosted under the Kubernetes SIGs organization in Github. The project was established in 2016 and was migrated to Kubernetes SIGs in 2018.
This is open source software released under the Apache 2.0 License.
Node Feature Discovery Helm chart allow to easily deploy and manage NFD.
Helm package manager should be installed.
To install the latest stable version:
export NFD_NS=node-feature-discovery
+ Helm · Node Feature Discovery
Deployment with Helm
Table of contents
Node Feature Discovery Helm chart allow to easily deploy and manage NFD.
Prerequisites
Helm package manager should be installed.
Deployment
To install the latest stable version:
export NFD_NS=node-feature-discovery
helm repo add nfd https://kubernetes-sigs.github.io/node-feature-discovery/charts
helm repo update
helm install nfd/node-feature-discovery --namespace $NFD_NS --create-namespace --generate-name
@@ -13,4 +13,4 @@ helm install nfd/node-feature-discovery install nfd/node-feature-discovery --set nameOverride=NFDinstance --set master.replicaCount=2 --namespace $NFD_NS --create-namespace
Uninstalling the chart
To uninstall the node-feature-discovery deployment:
export NFD_NS=node-feature-discovery
helm uninstall node-feature-discovery --namespace $NFD_NS
-
The command removes all the Kubernetes components associated with the chart and deletes the release.
Chart parameters
In order to tailor the deployment of the Node Feature Discovery to your cluster needs We have introduced the following Chart parameters.
General parameters
Name Type Default description image.repositorystring gcr.io/k8s-staging-nfd/node-feature-discoveryNFD image repository image.tagstring masterNFD image tag image.pullPolicystring AlwaysImage pull policy imagePullSecretslist [] ImagePullSecrets is an optional list of references to secrets in the same namespace to use for pulling any of the images used by this PodSpec. If specified, these secrets will be passed to individual puller implementations for them to use. For example, in the case of docker, only DockerConfig type secrets are honored. More info nameOverridestring Override the name of the chart fullnameOverridestring Override a default fully qualified app name nodeFeatureRule.createCRDbool true Specifies whether to create the NodeFeatureRule CRD tls.enablebool false Specifies whether to use TLS for communications between components tls.certManagerbool false If enabled, requires cert-manager to be installed and will automatically create the required TLS certificates
Master pod parameters
Name Type Default description master.*dict NFD master deployment configuration master.instancestring Instance name. Used to separate annotation namespaces for multiple parallel deployments master.extraLabelNsarray [] List of allowed extra label namespaces master.resourceLabelsarray [] List of labels to be registered as extended resources master.featureRulesControllerbool null Specifies whether the controller for processing of NodeFeatureRule objects is enabled. If not set, controller will be enabled if master.instance is empty. master.replicaCountinteger 1 Number of desired pods. This is a pointer to distinguish between explicit zero and not specified master.podSecurityContextdict {} PodSecurityContext holds pod-level security attributes and common container settings master.securityContextdict {} Container security settings master.serviceAccount.createbool true Specifies whether a service account should be created master.serviceAccount.annotationsdict {} Annotations to add to the service account master.serviceAccount.namestring The name of the service account to use. If not set and create is true, a name is generated using the fullname template master.rbac.createbool true Specifies whether to create RBAC configuration for nfd-master master.service.typestring ClusterIP NFD master service type master.service.portinteger 8080 NFD master service port master.resourcesdict {} NFD master pod resources management master.nodeSelectordict {} NFD master pod node selector master.tolerationsdict Scheduling to master node is disabled NFD master pod tolerations master.annotationsdict {} NFD master pod annotations master.affinitydict NFD master pod required node affinity master.deploymentAnnotationsdict {} NFD master deployment annotations
Worker pod parameters
Name Type Default description worker.*dict NFD worker daemonset configuration worker.configdict NFD worker configuration worker.podSecurityContextdict {} PodSecurityContext holds pod-level security attributes and common container settings worker.securityContextdict {} Container security settings worker.mountUsrSrcbool false Specifies whether to allow users to mount the hostpath /user/src. Does not work on systems without /usr/src AND a read-only /usr worker.resourcesdict {} NFD worker pod resources management worker.nodeSelectordict {} NFD worker pod node selector worker.tolerationsdict {} NFD worker pod node tolerations worker.priorityClassNamestring NFD worker pod priority class worker.annotationsdict {} NFD worker pod annotations worker.daemonsetAnnotationsdict {} NFD worker daemonset annotations
Topology updater parameters
Name Type Default description topologyUpdater.*dict NFD Topology Updater configuration topologyUpdater.enablebool false Specifies whether the NFD Topology Updater should be created topologyUpdater.createCRDsbool false Specifies whether the NFD Topology Updater CRDs should be created topologyUpdater.serviceAccount.createbool true Specifies whether the service account for topology updater should be created topologyUpdater.serviceAccount.annotationsdict {} Annotations to add to the service account for topology updater topologyUpdater.serviceAccount.namestring The name of the service account for topology updater to use. If not set and create is true, a name is generated using the fullname template and -topology-updater suffix topologyUpdater.rbacdict RBAC parameters for the topology updater topologyUpdater.rbac.createbool false Specifies whether the cluster role and binding for topology updater should be created topologyUpdater.kubeletConfigPathstring "" Specifies the kubelet config host path topologyUpdater.kubeletPodResourcesSockPathstring "" Specifies the kubelet sock path to read pod resources topologyUpdater.updateIntervalstring 60s Time to sleep between CR updates. Non-positive value implies no CR update. topologyUpdater.watchNamespacestring *Namespace to watch pods, * for all namespaces topologyUpdater.podSecurityContextdict {} PodSecurityContext holds pod-level security attributes and common container settings topologyUpdater.securityContextdict {} Container security settings topologyUpdater.resourcesdict {} Topology updater pod resources management topologyUpdater.nodeSelectordict {} Topology updater pod node selector topologyUpdater.tolerationsdict {} Topology updater pod node tolerations topologyUpdater.annotationsdict {} Topology updater pod annotations topologyUpdater.affinitydict {} Topology updater pod affinity topologyUpdater.configdict configuration
Node Feature Discovery master
\ No newline at end of file
+The command removes all the Kubernetes components associated with the chart and deletes the release.
In order to tailor the deployment of the Node Feature Discovery to your cluster needs We have introduced the following Chart parameters.
| Name | Type | Default | description |
|---|---|---|---|
image.repository | string | gcr.io/k8s-staging-nfd/node-feature-discovery | NFD image repository |
image.tag | string | master | NFD image tag |
image.pullPolicy | string | Always | Image pull policy |
imagePullSecrets | list | [] | ImagePullSecrets is an optional list of references to secrets in the same namespace to use for pulling any of the images used by this PodSpec. If specified, these secrets will be passed to individual puller implementations for them to use. For example, in the case of docker, only DockerConfig type secrets are honored. More info |
nameOverride | string | Override the name of the chart | |
fullnameOverride | string | Override a default fully qualified app name | |
nodeFeatureRule.createCRD | bool | true | Specifies whether to create the NodeFeatureRule CRD |
tls.enable | bool | false | Specifies whether to use TLS for communications between components |
tls.certManager | bool | false | If enabled, requires cert-manager to be installed and will automatically create the required TLS certificates |
| Name | Type | Default | description |
|---|---|---|---|
master.* | dict | NFD master deployment configuration | |
master.instance | string | Instance name. Used to separate annotation namespaces for multiple parallel deployments | |
master.extraLabelNs | array | [] | List of allowed extra label namespaces |
master.resourceLabels | array | [] | List of labels to be registered as extended resources |
master.featureRulesController | bool | null | Specifies whether the controller for processing of NodeFeatureRule objects is enabled. If not set, controller will be enabled if master.instance is empty. |
master.replicaCount | integer | 1 | Number of desired pods. This is a pointer to distinguish between explicit zero and not specified |
master.podSecurityContext | dict | {} | PodSecurityContext holds pod-level security attributes and common container settings |
master.securityContext | dict | {} | Container security settings |
master.serviceAccount.create | bool | true | Specifies whether a service account should be created |
master.serviceAccount.annotations | dict | {} | Annotations to add to the service account |
master.serviceAccount.name | string | The name of the service account to use. If not set and create is true, a name is generated using the fullname template | |
master.rbac.create | bool | true | Specifies whether to create RBAC configuration for nfd-master |
master.service.type | string | ClusterIP | NFD master service type |
master.service.port | integer | 8080 | NFD master service port |
master.resources | dict | {} | NFD master pod resources management |
master.nodeSelector | dict | {} | NFD master pod node selector |
master.tolerations | dict | Scheduling to master node is disabled | NFD master pod tolerations |
master.annotations | dict | {} | NFD master pod annotations |
master.affinity | dict | NFD master pod required node affinity | |
master.deploymentAnnotations | dict | {} | NFD master deployment annotations |
| Name | Type | Default | description |
|---|---|---|---|
worker.* | dict | NFD worker daemonset configuration | |
worker.config | dict | NFD worker configuration | |
worker.podSecurityContext | dict | {} | PodSecurityContext holds pod-level security attributes and common container settings |
worker.securityContext | dict | {} | Container security settings |
worker.mountUsrSrc | bool | false | Specifies whether to allow users to mount the hostpath /user/src. Does not work on systems without /usr/src AND a read-only /usr |
worker.resources | dict | {} | NFD worker pod resources management |
worker.nodeSelector | dict | {} | NFD worker pod node selector |
worker.tolerations | dict | {} | NFD worker pod node tolerations |
worker.priorityClassName | string | NFD worker pod priority class | |
worker.annotations | dict | {} | NFD worker pod annotations |
worker.daemonsetAnnotations | dict | {} | NFD worker daemonset annotations |
| Name | Type | Default | description |
|---|---|---|---|
topologyUpdater.* | dict | NFD Topology Updater configuration | |
topologyUpdater.enable | bool | false | Specifies whether the NFD Topology Updater should be created |
topologyUpdater.createCRDs | bool | false | Specifies whether the NFD Topology Updater CRDs should be created |
topologyUpdater.serviceAccount.create | bool | true | Specifies whether the service account for topology updater should be created |
topologyUpdater.serviceAccount.annotations | dict | {} | Annotations to add to the service account for topology updater |
topologyUpdater.serviceAccount.name | string | The name of the service account for topology updater to use. If not set and create is true, a name is generated using the fullname template and -topology-updater suffix | |
topologyUpdater.rbac | dict | RBAC parameters for the topology updater | |
topologyUpdater.rbac.create | bool | false | Specifies whether the cluster role and binding for topology updater should be created |
topologyUpdater.kubeletConfigPath | string | "" | Specifies the kubelet config host path |
topologyUpdater.kubeletPodResourcesSockPath | string | "" | Specifies the kubelet sock path to read pod resources |
topologyUpdater.updateInterval | string | 60s | Time to sleep between CR updates. Non-positive value implies no CR update. |
topologyUpdater.watchNamespace | string | * | Namespace to watch pods, * for all namespaces |
topologyUpdater.podSecurityContext | dict | {} | PodSecurityContext holds pod-level security attributes and common container settings |
topologyUpdater.securityContext | dict | {} | Container security settings |
topologyUpdater.resources | dict | {} | Topology updater pod resources management |
topologyUpdater.nodeSelector | dict | {} | Topology updater pod node selector |
topologyUpdater.tolerations | dict | {} | Topology updater pod node tolerations |
topologyUpdater.annotations | dict | {} | Topology updater pod annotations |
topologyUpdater.affinity | dict | {} | Topology updater pod affinity |
topologyUpdater.config | dict | configuration |
NFD currently offers two variants of the container image. The "full" variant is currently deployed by default. Released container images are available for x86_64 and Arm64 architectures.
This image is based on debian:bullseye-slim and contains a full Linux system for running shell-based nfd-worker hooks and doing live debugging and diagnosis of the NFD images.
This is a minimal image based on gcr.io/distroless/base and only supports running statically linked binaries.
The container image tag has suffix -minimal (e.g. gcr.io/k8s-staging-nfd/node-feature-discovery:master-minimal)
NFD currently offers two variants of the container image. The "full" variant is currently deployed by default. Released container images are available for x86_64 and Arm64 architectures.
This image is based on debian:bullseye-slim and contains a full Linux system for running shell-based nfd-worker hooks and doing live debugging and diagnosis of the NFD images.
This is a minimal image based on gcr.io/distroless/base and only supports running statically linked binaries.
The container image tag has suffix -minimal (e.g. gcr.io/k8s-staging-nfd/node-feature-discovery:master-minimal)
Deployment instructions.
Deployment instructions.
This deployment method requires kubectl v1.21 or later. The kustomize overlays provided in the repo can be used directly:
kubectl apply -k https://github.com/kubernetes-sigs/node-feature-discovery/deployment/overlays/default?ref=master
+ Kustomize · Node Feature Discovery
Deploymenet with Kustomize
Table of contents
This deployment method requires kubectl v1.21 or later. The kustomize overlays provided in the repo can be used directly:
kubectl apply -k https://github.com/kubernetes-sigs/node-feature-discovery/deployment/overlays/default?ref=master
This will required RBAC rules and deploy nfd-master (as a deployment) and nfd-worker (as daemonset) in the node-feature-discovery namespace.
NOTE: nfd-topology-updater is not deployed as part of the default overlay. Please refer to the Master Worker Topologyupdater and Topologyupdater below.
Alternatively you can clone the repository and customize the deployment by creating your own overlays. For example, to deploy the minimal image. See kustomize for more information about managing deployment configurations.
Overlays
The NFD repository hosts a set of overlays for different usages and deployment scenarios under deployment/overlays
default: default deployment of nfd-worker as a daemonset, described abovedefault-combined see Master-worker pod belowdefault-job: see Worker one-shot belowmaster-worker-topologyupdater: see Master Worker Topologyupdater belowtopologyupdater: see Topology Updater belowprune: clean up the cluster after uninstallation, see Removing feature labelssamples/cert-manager: an example for supplementing the default deployment with cert-manager for TLS authentication, see Automated TLS certificate management using cert-manager for detailssamples/custom-rules: an example for spicing up the default deployment with a separately managed configmap of custom labeling rules, see Custom feature source for more information about custom node labels
Master-worker pod
You can also run nfd-master and nfd-worker inside the same pod
kubectl apply -k https://github.com/kubernetes-sigs/node-feature-discovery/deployment/overlays/default-combined?ref=master
This creates a DaemonSet that runs nfd-worker and nfd-master in the same Pod. In this case no nfd-master is run on the master node(s), but, the worker nodes are able to label themselves which may be desirable e.g. in single-node setups.
NOTE: nfd-topology-updater is not deployed by the default-combined overlay. To enable nfd-topology-updater in this scenario,the users must customize the deployment themselves.
Worker one-shot
Feature discovery can alternatively be configured as a one-shot job. The default-job overlay may be used to achieve this:
NUM_NODES=$(kubectl get no -o jsonpath='{.items[*].metadata.name}' | wc -w)
@@ -21,4 +21,4 @@ kubectl -n $NFD_NS delete svc nf
kubectl -n $NFD_NS delete sa nfd-master
kubectl delete clusterrole nfd-master
kubectl delete clusterrolebinding nfd-master
-
Node Feature Discovery master
\ No newline at end of file
+Deployment using the Node Feature Discovery Operator is recommended to be done via operatorhub.io.
Install the operator:
kubectl create -f https://operatorhub.io/install/nfd-operator.yaml
+ NFD Operator · Node Feature Discovery
Deployment with NFD Operator
Table of contents
Deployment
Deployment using the Node Feature Discovery Operator is recommended to be done via operatorhub.io.
- You need to have OLM installed. If you don't, take a look at the latest release for detailed instructions.
-
Install the operator:
kubectl create -f https://operatorhub.io/install/nfd-operator.yaml
-
Create NodeFeatureDiscovery object (in nfd namespace here):
cat << EOF | kubectl apply -f -
apiVersion: v1
kind: Namespace
@@ -18,4 +18,4 @@ spec:
In order to deploy the minimal image you need to use
image: gcr.io/k8s-staging-nfd/node-feature-discovery:master-minimal
in the NodeFeatureDiscovery object above.
Uninstallation
If you followed the deployment instructions above you can simply do:
kubectl -n nfd delete NodeFeatureDiscovery my-nfd-deployment
Optionally, you can also remove the namespace:
kubectl delete ns nfd
-
See the node-feature-discovery-operator and OLM project documentation for instructions for uninstalling the operator and operator lifecycle manager, respectively.
Node Feature Discovery master
\ No newline at end of file
+See the node-feature-discovery-operator and OLM project documentation for instructions for uninstalling the operator and operator lifecycle manager, respectively.
NFD supports mutual TLS authentication between the nfd-master and nfd-worker instances. That is, nfd-worker and nfd-master both verify that the other end presents a valid certificate.
TLS authentication is enabled by specifying -ca-file, -key-file and -cert-file args, on both the nfd-master and nfd-worker instances. The template specs provided with NFD contain (commented out) example configuration for enabling TLS authentication.
The Common Name (CN) of the nfd-master certificate must match the DNS name of the nfd-master Service of the cluster. By default, nfd-master only check that the nfd-worker has been signed by the specified root certificate (-ca-file).
Additional hardening can be enabled by specifying -verify-node-name in nfd-master args, in which case nfd-master verifies that the NodeName presented by nfd-worker matches the Common Name (CN) or a Subject Alternative Name (SAN) of its certificate. Note that -verify-node-name complicates certificate management and is not yet supported in the helm or kustomize deployment methods.
cert-manager can be used to automate certificate management between nfd-master and the nfd-worker pods.
The NFD source code repository contains an example kustomize overlay and helm chart that can be used to deploy NFD with cert-manager supplied certificates enabled.
To install cert-manager itself can be done as easily as this, below, or you can refer to their documentation for other installation methods such as the helm chart they provide.
kubectl apply -f https://github.com/jetstack/cert-manager/releases/download/v1.6.1/cert-manager.yaml
+ TLS authentication · Node Feature Discovery
Communication security with TLS
Table of contents
NFD supports mutual TLS authentication between the nfd-master and nfd-worker instances. That is, nfd-worker and nfd-master both verify that the other end presents a valid certificate.
TLS authentication is enabled by specifying -ca-file, -key-file and -cert-file args, on both the nfd-master and nfd-worker instances. The template specs provided with NFD contain (commented out) example configuration for enabling TLS authentication.
The Common Name (CN) of the nfd-master certificate must match the DNS name of the nfd-master Service of the cluster. By default, nfd-master only check that the nfd-worker has been signed by the specified root certificate (-ca-file).
Additional hardening can be enabled by specifying -verify-node-name in nfd-master args, in which case nfd-master verifies that the NodeName presented by nfd-worker matches the Common Name (CN) or a Subject Alternative Name (SAN) of its certificate. Note that -verify-node-name complicates certificate management and is not yet supported in the helm or kustomize deployment methods.
Automated TLS certificate management using cert-manager
cert-manager can be used to automate certificate management between nfd-master and the nfd-worker pods.
The NFD source code repository contains an example kustomize overlay and helm chart that can be used to deploy NFD with cert-manager supplied certificates enabled.
To install cert-manager itself can be done as easily as this, below, or you can refer to their documentation for other installation methods such as the helm chart they provide.
kubectl apply -f https://github.com/jetstack/cert-manager/releases/download/v1.6.1/cert-manager.yaml
To use the kustomize overlay to install node-feature-discovery with TLS enabled, you may use the following:
kubectl apply -k deployment/overlays/samples/cert-manager
To make use of the helm chart, override values.yaml to enable both the tls.enabled and tls.certManager options. Note that if you do not enable tls.certManager, helm will successfully install the application, but deployment will wait until certificates are manually created, as demonstrated below.
See the sample installation commands in the Helm Deployment and Configuration sections above for how to either override individual values, or provide a yaml file with which to override default values.
Manual TLS certificate management
If you do not with to make use of cert-manager, the certificates can be manually created and stored as secrets within the NFD namespace.
Create a CA certificate
openssl req -x509 -newkey rsa:4096 -keyout ca.key -nodes \
-subj "/CN=nfd-ca" -days 10000 -out ca.crt
@@ -78,4 +78,4 @@ data:
EOF
done
-
Node Feature Discovery master
\ No newline at end of file
+Follow the uninstallation instructions of the deployment method used (kustomize, helm or operator).
NFD-Master has a special -prune command line flag for removing all nfd-related node labels, annotations and extended resources from the cluster.
kubectl apply -k https://github.com/kubernetes-sigs/node-feature-discovery/deployment/overlays/prune?ref=master
+ Uninstallation · Node Feature Discovery
Uninstallation
Table of contents
Follow the uninstallation instructions of the deployment method used (kustomize, helm or operator).
Removing feature labels
NFD-Master has a special -prune command line flag for removing all nfd-related node labels, annotations and extended resources from the cluster.
kubectl apply -k https://github.com/kubernetes-sigs/node-feature-discovery/deployment/overlays/prune?ref=master
kubectl -n node-feature-discovery wait job.batch/nfd-master --for=condition=complete && \
kubectl delete -k https://github.com/kubernetes-sigs/node-feature-discovery/deployment/overlays/prune?ref=master
-
NOTE: You must run prune before removing the RBAC rules (serviceaccount, clusterrole and clusterrolebinding).
Node Feature Discovery master
\ No newline at end of file
+NOTE: You must run prune before removing the RBAC rules (serviceaccount, clusterrole and clusterrolebinding).
git clone https://github.com/kubernetes-sigs/node-feature-discovery
+ Developer guide · Node Feature Discovery
Developer guide
Table of contents
Building from source
Download the source code
git clone https://github.com/kubernetes-sigs/node-feature-discovery
cd node-feature-discovery
Docker build
Build the container image
See customizing the build below for altering the container image registry, for example.
make
Push the container image
Optional, this example with Docker.
docker push <IMAGE_TAG>
@@ -27,4 +27,4 @@ kubectl apply -k .
tilt up
This will override the default value(master) of IMAGE_TAG_NAME variable defined in the Tiltfile.
Documentation
All documentation resides under the docs directory in the source tree. It is designed to be served as a html site by GitHub Pages.
Building the documentation is containerized in order to fix the build environment. The recommended way for developing documentation is to run:
make site-serve
This will build the documentation in a container and serve it under localhost:4000/ making it easy to verify the results. Any changes made to the docs/ will automatically re-trigger a rebuild and are reflected in the served content and can be inspected with a simple browser refresh.
In order to just build the html documentation run:
make site-build
-
This will generate html documentation under docs/_site/.
Node Feature Discovery master
\ No newline at end of file
+This will generate html documentation under docs/_site/.
Welcome to Node Feature Discovery – a Kubernetes add-on for detecting hardware features and system configuration!
Continue to:
Introduction for more details on the project.
Quick start for quick step-by-step instructions on how to get NFD running on your cluster.
$ kubectl apply -k https://github.com/kubernetes-sigs/node-feature-discovery/deployment/overlays/default?ref=master
+ Get started · Node Feature Discovery
Node Feature Discovery
Welcome to Node Feature Discovery – a Kubernetes add-on for detecting hardware features and system configuration!
Continue to:
-
Introduction for more details on the project.
-
Quick start for quick step-by-step instructions on how to get NFD running on your cluster.
Quick-start – the short-short version
$ kubectl apply -k https://github.com/kubernetes-sigs/node-feature-discovery/deployment/overlays/default?ref=master
namespace/node-feature-discovery created
serviceaccount/nfd-master created
clusterrole.rbac.authorization.k8s.io/nfd-master created
@@ -22,4 +22,4 @@
"feature.node.kubernetes.io/cpu-cpuid.AESNI": "true",
...
-
Node Feature Discovery master
\ No newline at end of file
+This software enables node feature discovery for Kubernetes. It detects hardware features available on each node in a Kubernetes cluster, and advertises those features using node labels.
NFD consists of three software components:
NFD-Master is the daemon responsible for communication towards the Kubernetes API. That is, it receives labeling requests from the worker and modifies node objects accordingly.
NFD-Worker is a daemon responsible for feature detection. It then communicates the information to nfd-master which does the actual node labeling. One instance of nfd-worker is supposed to be running on each node of the cluster,
NFD-Topology-Updater is a daemon responsible for examining allocated resources on a worker node to account for resources available to be allocated to new pod on a per-zone basis (where a zone can be a NUMA node). It then communicates the information to nfd-master which does the NodeResourceTopology CR creation corresponding to all the nodes in the cluster. One instance of nfd-topology-updater is supposed to be running on each node of the cluster.
Feature discovery is divided into domain-specific feature sources:
Each feature source is responsible for detecting a set of features which. in turn, are turned into node feature labels. Feature labels are prefixed with feature.node.kubernetes.io/ and also contain the name of the feature source. Non-standard user-specific feature labels can be created with the local and custom feature sources.
An overview of the default feature labels:
{
+ Introduction · Node Feature Discovery
Introduction
Table of contents
- NFD-Master
- NFD-Worker
- NFD-Topology-Updater
- Feature Discovery
- Node annotations
- NodeResourceTopology CR
This software enables node feature discovery for Kubernetes. It detects hardware features available on each node in a Kubernetes cluster, and advertises those features using node labels.
NFD consists of three software components:
- nfd-master
- nfd-worker
- nfd-topology-updater
NFD-Master
NFD-Master is the daemon responsible for communication towards the Kubernetes API. That is, it receives labeling requests from the worker and modifies node objects accordingly.
NFD-Worker
NFD-Worker is a daemon responsible for feature detection. It then communicates the information to nfd-master which does the actual node labeling. One instance of nfd-worker is supposed to be running on each node of the cluster,
NFD-Topology-Updater
NFD-Topology-Updater is a daemon responsible for examining allocated resources on a worker node to account for resources available to be allocated to new pod on a per-zone basis (where a zone can be a NUMA node). It then communicates the information to nfd-master which does the NodeResourceTopology CR creation corresponding to all the nodes in the cluster. One instance of nfd-topology-updater is supposed to be running on each node of the cluster.
Feature Discovery
Feature discovery is divided into domain-specific feature sources:
- CPU
- Kernel
- Memory
- Network
- PCI
- Storage
- System
- USB
- Custom (rule-based custom features)
- Local (hooks for user-specific features)
Each feature source is responsible for detecting a set of features which. in turn, are turned into node feature labels. Feature labels are prefixed with feature.node.kubernetes.io/ and also contain the name of the feature source. Non-standard user-specific feature labels can be created with the local and custom feature sources.
An overview of the default feature labels:
{
"feature.node.kubernetes.io/cpu-<feature-name>": "true",
"feature.node.kubernetes.io/custom-<feature-name>": "true",
"feature.node.kubernetes.io/kernel-<feature name>": "<feature value>",
@@ -49,4 +49,4 @@
capacity: 3
allocatable: 3
available: 3
-
Node Feature Discovery master
\ No newline at end of file
+Minimal steps to deploy latest released version of NFD in your cluster.
Deploy with kustomize – creates a new namespace, service and required RBAC rules and deploys nfd-master and nfd-worker daemons.
kubectl apply -k https://github.com/kubernetes-sigs/node-feature-discovery/deployment/overlays/default?ref=master
+ Quick start · Node Feature Discovery
Quick start
Minimal steps to deploy latest released version of NFD in your cluster.
Installation
Deploy with kustomize – creates a new namespace, service and required RBAC rules and deploys nfd-master and nfd-worker daemons.
kubectl apply -k https://github.com/kubernetes-sigs/node-feature-discovery/deployment/overlays/default?ref=master
Verify
Wait until NFD master and NFD worker are running.
$ kubectl -n node-feature-discovery get ds,deploy
NAME DESIRED CURRENT READY UP-TO-DATE AVAILABLE NODE SELECTOR AGE
daemonset.apps/nfd-worker 2 2 2 2 2 <none> 10s
@@ -91,4 +91,4 @@ Zones:
Available: 2
Type: Node
Events: <none>
-
The CR instances created can be used to gain insight into the allocatable resources along with the granularity of those resources at a per-zone level (represented by node-0 and node-1 in the above example) or can be used by an external entity (e.g. topology-aware scheduler plugin) to take an action based on the gathered information.
Node Feature Discovery master
\ No newline at end of file
+The CR instances created can be used to gain insight into the allocatable resources along with the granularity of those resources at a per-zone level (represented by node-0 and node-1 in the above example) or can be used by an external entity (e.g. topology-aware scheduler plugin) to take an action based on the gathered information.
Command line and configuration reference.
Command line and configuration reference.
To quickly view available command line flags execute nfd-master -help. In a docker container:
docker run gcr.io/k8s-staging-nfd/node-feature-discovery:master nfd-master -help
+ Master cmdline reference · Node Feature Discovery
Commandline flags of nfd-master
Table of contents
- -h, -help
- -version
- -prune
- -port
- -instance
- -ca-file
- -cert-file
- -key-file
- -verify-node-name
- -no-publish
- -featurerules-controller
- -label-whitelist
- -extra-label-ns
- -resource-labels
- Logging
To quickly view available command line flags execute nfd-master -help. In a docker container:
docker run gcr.io/k8s-staging-nfd/node-feature-discovery:master nfd-master -help
-h, -help
Print usage and exit.
-version
Print version and exit.
-prune
The -prune flag is a sub-command like option for cleaning up the cluster. It causes nfd-master to remove all NFD related labels, annotations and extended resources from all Node objects of the cluster and exit.
-port
The -port flag specifies the TCP port that nfd-master listens for incoming requests.
Default: 8080
Example:
nfd-master -port=443
-instance
The -instance flag makes it possible to run multiple NFD deployments in parallel. In practice, it separates the node annotations between deployments so that each of them can store metadata independently. The instance name must start and end with an alphanumeric character and may only contain alphanumeric characters, -, _ or ..
Default: empty
Example:
nfd-master -instance=network
-ca-file
The -ca-file is one of the three flags (together with -cert-file and -key-file) controlling master-worker mutual TLS authentication on the nfd-master side. This flag specifies the TLS root certificate that is used for authenticating incoming connections. NFD-Worker side needs to have matching key and cert files configured in order for the incoming requests to be accepted.
Default: empty
Note: Must be specified together with -cert-file and -key-file
Example:
nfd-master -ca-file=/opt/nfd/ca.crt -cert-file=/opt/nfd/master.crt -key-file=/opt/nfd/master.key
@@ -11,4 +11,4 @@
-label-whitelist
The -label-whitelist specifies a regular expression for filtering feature labels based on their name. Each label must match against the given reqular expression in order to be published.
Note: The regular expression is only matches against the "basename" part of the label, i.e. to the part of the name after ‘/'. The label namespace is omitted.
Default: empty
Example:
nfd-master -label-whitelist='.*cpuid\.'
-extra-label-ns
The -extra-label-ns flag specifies a comma-separated list of allowed feature label namespaces. By default, nfd-master only allows creating labels in the default feature.node.kubernetes.io and profile.node.kubernetes.io label namespaces and their sub-namespaces (e.g. vendor.feature.node.kubernetes.io and sub.ns.profile.node.kubernetes.io). This option can be used to allow other vendor or application specific namespaces for custom labels from the local and custom feature sources.
The same namespace control and this flag applies Extended Resources (created with -resource-labels), too.
Default: empty
Example:
nfd-master -extra-label-ns=vendor-1.com,vendor-2.io
-resource-labels
The -resource-labels flag specifies a comma-separated list of features to be advertised as extended resources instead of labels. Features that have integer values can be published as Extended Resources by listing them in this flag.
Default: empty
Example:
nfd-master -resource-labels=vendor-1.com/feature-1,vendor-2.io/feature-2
-
Logging
The following logging-related flags are inherited from the klog package.
-add_dir_header
If true, adds the file directory to the header of the log messages.
Default: false
-alsologtostderr
Log to standard error as well as files.
Default: false
-log_backtrace_at
When logging hits line file:N, emit a stack trace.
Default: empty
-log_dir
If non-empty, write log files in this directory.
Default: empty
-log_file
If non-empty, use this log file.
Default: empty
-log_file_max_size
Defines the maximum size a log file can grow to. Unit is megabytes. If the value is 0, the maximum file size is unlimited.
Default: 1800
-logtostderr
Log to standard error instead of files
Default: true
-skip_headers
If true, avoid header prefixes in the log messages.
Default: false
-skip_log_headers
If true, avoid headers when opening log files.
Default: false
-stderrthreshold
Logs at or above this threshold go to stderr.
Default: 2
-v
Number for the log level verbosity.
Default: 0
-vmodule
Comma-separated list of pattern=N settings for file-filtered logging.
Default: empty
Node Feature Discovery master
\ No newline at end of file
+The following logging-related flags are inherited from the klog package.
If true, adds the file directory to the header of the log messages.
Default: false
Log to standard error as well as files.
Default: false
When logging hits line file:N, emit a stack trace.
Default: empty
If non-empty, write log files in this directory.
Default: empty
If non-empty, use this log file.
Default: empty
Defines the maximum size a log file can grow to. Unit is megabytes. If the value is 0, the maximum file size is unlimited.
Default: 1800
Log to standard error instead of files
Default: true
If true, avoid header prefixes in the log messages.
Default: false
If true, avoid headers when opening log files.
Default: false
Logs at or above this threshold go to stderr.
Default: 2
Number for the log level verbosity.
Default: 0
Comma-separated list of pattern=N settings for file-filtered logging.
Default: empty
To quickly view available command line flags execute nfd-topology-updater -help. In a docker container:
docker run gcr.io/k8s-staging-nfd/node-feature-discovery:master \
+ Topology Updater Cmdline Reference · Node Feature Discovery
NFD-Topology-Updater Commandline Flags
Table of Contents
To quickly view available command line flags execute nfd-topology-updater -help. In a docker container:
docker run gcr.io/k8s-staging-nfd/node-feature-discovery:master \
nfd-topology-updater -help
-h, -help
Print usage and exit.
-version
Print version and exit.
-config
The -config flag specifies the path of the nfd-topology-updater configuration file to use.
Default: /etc/kubernetes/node-feature-discovery/nfd-topology-updater.conf
Example:
nfd-topology-updater -config=/opt/nfd/nfd-topology-updater.conf
-server
The -server flag specifies the address of the nfd-master endpoint where to connect to.
Default: localhost:8080
Example:
nfd-topology-updater -server=nfd-master.nfd.svc.cluster.local:443
@@ -13,4 +13,4 @@ nfd-topology-updater -help
-kubelet-config-uri
The -kubelet-config-uri specifies the path to the Kubelet's configuration. Note that the URi could either be a local host file or an HTTP endpoint.
Default: https://${NODE_NAME}:10250/configz
Example:
nfd-topology-updater -kubelet-config-uri=file:///var/lib/kubelet/config.yaml
-api-auth-token-file
The -api-auth-token-file specifies the path to the api auth token file which is used to retrieve Kubelet's configuration from Kubelet secure port, only taking effect when -kubelet-config-uri is https. Note that this token file must bind to a role that has the get capability to nodes/proxy resources.
Default: /var/run/secrets/kubernetes.io/serviceaccount/token
Example:
nfd-topology-updater -token-file=/var/run/secrets/kubernetes.io/serviceaccount/token
-podresources-socket
The -podresources-socket specifies the path to the Unix socket where kubelet exports a gRPC service to enable discovery of in-use CPUs and devices, and to provide metadata for them.
Default: /host-var/lib/kubelet/pod-resources/kubelet.sock
Example:
nfd-topology-updater -podresources-socket=/var/lib/kubelet/pod-resources/kubelet.sock
-
Node Feature Discovery master
\ No newline at end of file
+See the sample configuration file for a full example configuration.
The excludeList specifies a key-value map of allocated resources that should not be examined by the topology-updater agent per node. Each key is a node name with a value as a list of resources that should not be examined by the agent for that specific node.
Default: empty
Example:
excludeList:
+ Topology-Updater config reference · Node Feature Discovery
Configuration file reference of nfd-topology-updater
Table of contents
See the sample configuration file for a full example configuration.
excludeList
The excludeList specifies a key-value map of allocated resources that should not be examined by the topology-updater agent per node. Each key is a node name with a value as a list of resources that should not be examined by the agent for that specific node.
Default: empty
Example:
excludeList:
nodeA: [hugepages-2Mi]
nodeB: [memory]
nodeC: [cpu, hugepages-2Mi]
excludeList.*
excludeList.* is a special value that use to specify all nodes. A resource that would be listed under this key, would be excluded from all nodes.
Default: empty
Example:
excludeList:
'*': [hugepages-2Mi]
-
Node Feature Discovery master
\ No newline at end of file
+To quickly view available command line flags execute nfd-worker -help. In a docker container:
docker run gcr.io/k8s-staging-nfd/node-feature-discovery:master nfd-worker -help
+ Worker cmdline reference · Node Feature Discovery
Commandline flags of nfd-worker
Table of contents
- -h, -help
- -version
- -config
- -options
- -server
- -ca-file
- -cert-file
- -key-file
- -server-name-override
- -feature-sources
- -label-sources
- -sources
- -no-publish
- -label-whitelist
- -oneshot
- -sleep-interval
- Logging
To quickly view available command line flags execute nfd-worker -help. In a docker container:
docker run gcr.io/k8s-staging-nfd/node-feature-discovery:master nfd-worker -help
-h, -help
Print usage and exit.
-version
Print version and exit.
-config
The -config flag specifies the path of the nfd-worker configuration file to use.
Default: /etc/kubernetes/node-feature-discovery/nfd-worker.conf
Example:
nfd-worker -config=/opt/nfd/worker.conf
-options
The -options flag may be used to specify and override configuration file options directly from the command line. The required format is the same as in the config file i.e. JSON or YAML. Configuration options specified via this flag will override those from the configuration file:
Default: empty
Example:
nfd-worker -options='{"sources":{"cpu":{"cpuid":{"attributeWhitelist":["AVX","AVX2"]}}}}'
-server
The -server flag specifies the address of the nfd-master endpoint where to connect to.
Default: localhost:8080
Example:
nfd-worker -server=nfd-master.nfd.svc.cluster.local:443
@@ -12,4 +12,4 @@
-label-whitelist
The -label-whitelist specifies a regular expression for filtering feature labels based on their name. Each label must match against the given reqular expression in order to be published.
Note: The regular expression is only matches against the "basename" part of the label, i.e. to the part of the name after ‘/'. The label namespace is omitted.
Note: This flag takes precedence over the core.labelWhiteList configuration file option.
Default: empty
Example:
nfd-worker -label-whitelist='.*cpuid\.'
DEPRECATED: you should use the core.labelWhiteList option in the configuration file, instead.
-oneshot
The -oneshot flag causes nfd-worker to exit after one pass of feature detection.
Default: false
Example:
nfd-worker -oneshot -no-publish
-sleep-interval
The -sleep-interval specifies the interval between feature re-detection (and node re-labeling). A non-positive value implies infinite sleep interval, i.e. no re-detection or re-labeling is done.
Note: This flag takes precedence over the core.sleepInterval configuration file option.
Default: 60s
Example:
nfd-worker -sleep-interval=1h
-
DEPRECATED: you should use the core.sleepInterval option in the configuration file, instead.
Logging
The following logging-related flags are inherited from the klog package.
Note: The logger setup can also be specified via the core.klog configuration file options. However, the command line flags take precedence over any corresponding config file options specified.
-add_dir_header
If true, adds the file directory to the header of the log messages.
Default: false
-alsologtostderr
Log to standard error as well as files.
Default: false
-log_backtrace_at
When logging hits line file:N, emit a stack trace.
Default: empty
-log_dir
If non-empty, write log files in this directory.
Default: empty
-log_file
If non-empty, use this log file.
Default: empty
-log_file_max_size
Defines the maximum size a log file can grow to. Unit is megabytes. If the value is 0, the maximum file size is unlimited.
Default: 1800
-logtostderr
Log to standard error instead of files
Default: true
-skip_headers
If true, avoid header prefixes in the log messages.
Default: false
-skip_log_headers
If true, avoid headers when opening log files.
Default: false
-stderrthreshold
Logs at or above this threshold go to stderr.
Default: 2
-v
Number for the log level verbosity.
Default: 0
-vmodule
Comma-separated list of pattern=N settings for file-filtered logging.
Default: empty
Node Feature Discovery master
\ No newline at end of file
+DEPRECATED: you should use the core.sleepInterval option in the configuration file, instead.
The following logging-related flags are inherited from the klog package.
Note: The logger setup can also be specified via the core.klog configuration file options. However, the command line flags take precedence over any corresponding config file options specified.
If true, adds the file directory to the header of the log messages.
Default: false
Log to standard error as well as files.
Default: false
When logging hits line file:N, emit a stack trace.
Default: empty
If non-empty, write log files in this directory.
Default: empty
If non-empty, use this log file.
Default: empty
Defines the maximum size a log file can grow to. Unit is megabytes. If the value is 0, the maximum file size is unlimited.
Default: 1800
Log to standard error instead of files
Default: true
If true, avoid header prefixes in the log messages.
Default: false
If true, avoid headers when opening log files.
Default: false
Logs at or above this threshold go to stderr.
Default: 2
Number for the log level verbosity.
Default: 0
Comma-separated list of pattern=N settings for file-filtered logging.
Default: empty
See the sample configuration file for a full example configuration.
The core section contains common configuration settings that are not specific to any particular feature source.
core.sleepInterval specifies the interval between consecutive passes of feature (re-)detection, and thus also the interval between node re-labeling. A non-positive value implies infinite sleep interval, i.e. no re-detection or re-labeling is done.
Note: Overridden by the deprecated -sleep-interval command line flag (if specified).
Default: 60s
Example:
core:
+ Worker config reference · Node Feature Discovery
Configuration file reference of nfd-worker
Table of contents
See the sample configuration file for a full example configuration.
core
The core section contains common configuration settings that are not specific to any particular feature source.
core.sleepInterval
core.sleepInterval specifies the interval between consecutive passes of feature (re-)detection, and thus also the interval between node re-labeling. A non-positive value implies infinite sleep interval, i.e. no re-detection or re-labeling is done.
Note: Overridden by the deprecated -sleep-interval command line flag (if specified).
Default: 60s
Example:
core:
sleepInterval: 60s
core.featureSources
core.featureSources specifies the list of enabled feature sources. A special value all enables all sources. Prefixing a source name with - indicates that the source will be disabled instead - this is only meaningful when used in conjunction with all. This option allows completely disabling the feature detection so that neither standard feature labels are generated nor the raw feature data is available for custom rule processing.
Default: [all]
Example:
core:
# Enable all but cpu and local sources
@@ -68,4 +68,4 @@
matchExpressions:
class: {op: In, value: ["0200"]}
vendor: {op: In, value: ["8086"]}
-
Node Feature Discovery master
\ No newline at end of file
+NFD provides multiple extension points for vendor and application specific labeling:
NodeFeatureRule objects provide a way to deploy custom labeling rules via the Kubernetes APIlocal feature source of nfd-worker creates labels by executing hooks and reading filescustom feature source of nfd-worker creates labels based on user-specified rulesNodeFeatureRule objects provide an easy way to create vendor or application specific labels. It uses a flexible rule-based mechanism for creating labels based on node feature.
Consider the following referential example:
apiVersion: nfd.k8s-sigs.io/v1alpha1
+ Customization guide · Node Feature Discovery
Customization guide
Table of contents
- Overview
- NodeFeatureRule custom resource
- Local feature source
- Custom feature source
- Node labels
- Label rule format
- Legacy custom rule syntax
Overview
NFD provides multiple extension points for vendor and application specific labeling:
NodeFeatureRule objects provide a way to deploy custom labeling rules via the Kubernetes APIlocal feature source of nfd-worker creates labels by executing hooks and reading filescustom feature source of nfd-worker creates labels based on user-specified rules
NodeFeatureRule custom resource
NodeFeatureRule objects provide an easy way to create vendor or application specific labels. It uses a flexible rule-based mechanism for creating labels based on node feature.
A NodeFeatureRule example
Consider the following referential example:
apiVersion: nfd.k8s-sigs.io/v1alpha1
kind: NodeFeatureRule
metadata:
name: my-sample-rule-object
@@ -271,4 +271,4 @@ Element :An identifier of the USB attribute.
value: "datacenter-1"
matchOn:
- nodename: [ "node-datacenter1-rack.*-server.*" ]
-
In the example above:
- A node would contain the label:
feature.node.kubernetes.io/custom-my.kernel.feature=true if the node has kmod1 AND kmod2 kernel modules loaded. - A node would contain the label:
feature.node.kubernetes.io/custom-my.pci.feature=true if the node contains a PCI device with a PCI vendor ID of 15b3 AND PCI device ID of 1014 OR 1017. - A node would contain the label:
feature.node.kubernetes.io/custom-my.usb.feature=true if the node contains a USB device with a USB vendor ID of 1d6b AND USB device ID of 0003. - A node would contain the label:
feature.node.kubernetes.io/custom-my.combined.feature=true if vendor_kmod1 AND vendor_kmod2 kernel modules are loaded AND the node contains a PCI device with a PCI vendor ID of 15b3 AND PCI device ID of 1014 or 1017. - A node would contain the label:
vendor.feature.node.kubernetes.io/accumulated.feature=true if some_kmod1 AND some_kmod2 kernel modules are loaded OR the node contains a PCI device with a PCI vendor ID of 15b3 AND PCI device ID of 1014 OR 1017. - A node would contain the label:
feature.node.kubernetes.io/custom-my.kernel.featureneedscpu=true if KVM_INTEL kernel config is enabled AND the node CPU supports VMX virtual machine extensions - A node would contain the label:
feature.node.kubernetes.io/custom-my.kernel.modulecompiler=true if the in-tree kmod1 kernel module is loaded AND it's built with GCC_VERSION=100101. - A node would contain the label:
profile.node.kubernetes.io/my-datacenter=datacenter-1 if the node's name matches the node-datacenter1-rack.*-server.* pattern, e.g. node-datacenter1-rack2-server42
Node Feature Discovery master
\ No newline at end of file
+In the example above:
feature.node.kubernetes.io/custom-my.kernel.feature=true if the node has kmod1 AND kmod2 kernel modules loaded.feature.node.kubernetes.io/custom-my.pci.feature=true if the node contains a PCI device with a PCI vendor ID of 15b3 AND PCI device ID of 1014 OR 1017.feature.node.kubernetes.io/custom-my.usb.feature=true if the node contains a USB device with a USB vendor ID of 1d6b AND USB device ID of 0003.feature.node.kubernetes.io/custom-my.combined.feature=true if vendor_kmod1 AND vendor_kmod2 kernel modules are loaded AND the node contains a PCI device with a PCI vendor ID of 15b3 AND PCI device ID of 1014 or 1017.vendor.feature.node.kubernetes.io/accumulated.feature=true if some_kmod1 AND some_kmod2 kernel modules are loaded OR the node contains a PCI device with a PCI vendor ID of 15b3 AND PCI device ID of 1014 OR 1017.feature.node.kubernetes.io/custom-my.kernel.featureneedscpu=true if KVM_INTEL kernel config is enabled AND the node CPU supports VMX virtual machine extensionsfeature.node.kubernetes.io/custom-my.kernel.modulecompiler=true if the in-tree kmod1 kernel module is loaded AND it's built with GCC_VERSION=100101.profile.node.kubernetes.io/my-datacenter=datacenter-1 if the node's name matches the node-datacenter1-rack.*-server.* pattern, e.g. node-datacenter1-rack2-server42This page contains usage examples and demos.
A demo on the benefits of using node feature discovery can be found in the source code repository under demo/.
This page contains usage examples and demos.
A demo on the benefits of using node feature discovery can be found in the source code repository under demo/.
Features are advertised as labels in the Kubernetes Node object.
Label creation in nfd-worker is performed by a set of separate modules called label sources. The core.labelSources configuration option (or -label-sources flag) of nfd-worker controls which sources to enable for label generation.
All built-in labels use the feature.node.kubernetes.io label namespace and have the following format.
feature.node.kubernetes.io/<feature> = <value>
+ Feature labels · Node Feature Discovery
Feature labels
Table of contents
Features are advertised as labels in the Kubernetes Node object.
Built-in labels
Label creation in nfd-worker is performed by a set of separate modules called label sources. The core.labelSources configuration option (or -label-sources flag) of nfd-worker controls which sources to enable for label generation.
All built-in labels use the feature.node.kubernetes.io label namespace and have the following format.
feature.node.kubernetes.io/<feature> = <value>
Note: Consecutive runs of nfd-worker will update the labels on a given node. If features are not discovered on a consecutive run, the corresponding label will be removed. This includes any restrictions placed on the consecutive run, such as restricting discovered features with the -label-whitelist option.
CPU
Feature name Value Description cpu-cpuid.<cpuid-flag>true CPU capability is supported. NOTE: the capability might be supported but not enabled. cpu-hardware_multithreadingtrue Hardware multithreading, such as Intel HTT, enabled (number of logical CPUs is greater than physical CPUs) cpu-power.sst_bf.enabledtrue Intel SST-BF (Intel Speed Select Technology - Base frequency) enabled cpu-pstate.statusstring The status of the Intel pstate driver when in use and enabled, either ‘active' or ‘passive'. cpu-pstate.turbobool Set to ‘true' if turbo frequencies are enabled in Intel pstate driver, set to ‘false' if they have been disabled. cpu-pstate.scaling_governorstring The value of the Intel pstate scaling_governor when in use, either ‘powersave' or ‘performance'. cpu-cstate.enabledbool Set to ‘true' if cstates are set in the intel_idle driver, otherwise set to ‘false'. Unset if intel_idle cpuidle driver is not active. cpu-rdt.<rdt-flag>true Intel RDT capability is supported. See RDT flags for details. cpu-security.sgx.enabledtrue Set to ‘true' if Intel SGX is enabled in BIOS (based a non-zero sum value of SGX EPC section sizes). cpu-security.se.enabledtrue Set to ‘true' if IBM Secure Execution for Linux (IBM Z & LinuxONE) is available and enabled (requires /sys/firmware/uv/prot_virt_host facility) cpu-security.tdx.enabledtrue Set to ‘true' if Intel TDX is available on the host and has been enabled (requires /sys/module/kvm_intel/parameters/tdx). cpu-sgx.enabledtrue DEPRECATED: use cpu-security.sgx.enabled instead. cpu-se.enabledtrue DEPRECATED: use cpu-security.se.enabled instead. cpu-model.vendor_idstring Comparable CPU vendor ID. cpu-model.familyint CPU family. cpu-model.idint CPU model number.
The CPU label source is configurable, see worker configuration and sources.cpu configuration options for details.
X86 CPUID flags (partial list)
Flag Description ADX Multi-Precision Add-Carry Instruction Extensions (ADX) AESNI Advanced Encryption Standard (AES) New Instructions (AES-NI) AVX Advanced Vector Extensions (AVX) AVX2 Advanced Vector Extensions 2 (AVX2) AVXVNNI AVX (VEX encoded) VNNI neural network instructions AMXBF16 Advanced Matrix Extension, tile multiplication operations on BFLOAT16 numbers AMXINT8 Advanced Matrix Extension, tile multiplication operations on 8-bit integers AMXTILE Advanced Matrix Extension, base tile architecture support AVX512BF16 AVX-512 BFLOAT16 instructions AVX512BITALG AVX-512 bit Algorithms AVX512BW AVX-512 byte and word Instructions AVX512CD AVX-512 conflict detection instructions AVX512DQ AVX-512 doubleword and quadword instructions AVX512ER AVX-512 exponential and reciprocal instructions AVX512F AVX-512 foundation AVX512FP16 AVX-512 FP16 instructions AVX512IFMA AVX-512 integer fused multiply-add instructions AVX512PF AVX-512 prefetch instructions AVX512VBMI AVX-512 vector bit manipulation instructions AVX512VBMI2 AVX-512 vector bit manipulation instructions, version 2 AVX512VL AVX-512 vector length extensions AVX512VNNI AVX-512 vector neural network instructions AVX512VP2INTERSECT AVX-512 intersect for D/Q AVX512VPOPCNTDQ AVX-512 vector population count doubleword and quadword ENQCMD Enqueue Command GFNI Galois Field New Instructions HYPERVISOR Running under hypervisor VAES AVX-512 vector AES instructions VPCLMULQDQ Carry-less multiplication quadword
By default, the following CPUID flags have been blacklisted: BMI1, BMI2, CLMUL, CMOV, CX16, ERMS, F16C, HTT, LZCNT, MMX, MMXEXT, NX, POPCNT, RDRAND, RDSEED, RDTSCP, SGX, SSE, SSE2, SSE3, SSE4, SSE42 and SSSE3. See sources.cpu configuration options to change the behavior.
See the full list in github.com/klauspost/cpuid.
Arm CPUID flags (partial list)
Flag Description IDIVA Integer divide instructions available in ARM mode IDIVT Integer divide instructions available in Thumb mode THUMB Thumb instructions FASTMUL Fast multiplication VFP Vector floating point instruction extension (VFP) VFPv3 Vector floating point extension v3 VFPv4 Vector floating point extension v4 VFPD32 VFP with 32 D-registers HALF Half-word loads and stores EDSP DSP extensions NEON NEON SIMD instructions LPAE Large Physical Address Extensions
Arm64 CPUID flags (partial list)
Flag Description AES Announcing the Advanced Encryption Standard EVSTRM Event Stream Frequency Features FPHP Half Precision(16bit) Floating Point Data Processing Instructions ASIMDHP Half Precision(16bit) Asimd Data Processing Instructions ATOMICS Atomic Instructions to the A64 ASIMRDM Support for Rounding Double Multiply Add/Subtract PMULL Optional Cryptographic and CRC32 Instructions JSCVT Perform Conversion to Match Javascript DCPOP Persistent Memory Support
Intel RDT flags
Flag Description RDTMON Intel RDT Monitoring Technology RDTCMT Intel Cache Monitoring (CMT) RDTMBM Intel Memory Bandwidth Monitoring (MBM) RDTL3CA Intel L3 Cache Allocation Technology RDTl2CA Intel L2 Cache Allocation Technology RDTMBA Intel Memory Bandwidth Allocation (MBA) Technology
Kernel
Feature Value Description kernel-config.<option>true Kernel config option is enabled (set ‘y' or ‘m'). Default options are NO_HZ, NO_HZ_IDLE, NO_HZ_FULL and PREEMPT kernel-selinux.enabledtrue Selinux is enabled on the node kernel-version.fullstring Full kernel version as reported by /proc/sys/kernel/osrelease (e.g. ‘4.5.6-7-g123abcde') kernel-version.majorstring First component of the kernel version (e.g. ‘4') kernel-version.minorstring Second component of the kernel version (e.g. ‘5') kernel-version.revisionstring Third component of the kernel version (e.g. ‘6')
The kernel label source is configurable, see worker configuration and sources.kernel configuration options for details.
Memory
Feature Value Description memory-numatrue Multiple memory nodes i.e. NUMA architecture detected memory-nv.presenttrue NVDIMM device(s) are present memory-nv.daxtrue NVDIMM region(s) configured in DAX mode are present
Network
Feature Value Description network-sriov.capabletrue Single Root Input/Output Virtualization (SR-IOV) enabled Network Interface Card(s) present network-sriov.configuredtrue SR-IOV virtual functions have been configured
PCI
Feature Value Description pci-<device label>.presenttrue PCI device is detected pci-<device label>.sriov.capabletrue Single Root Input/Output Virtualization (SR-IOV) enabled PCI device present
<device label> is format is configurable and set to <class>_<vendor> by default. For more more details about configuration of the pci labels, see sources.pci options and worker configuration instructions.
USB
Feature Value Description usb-<device label>.presenttrue USB device is detected
<device label> is format is configurable and set to <class>_<vendor>_<device> by default. For more more details about configuration of the usb labels, see sources.usb options and worker configuration instructions.
Storage
Feature Value Description storage-nonrotationaldisktrue Non-rotational disk, like SSD, is present in the node
System
Feature Value Description system-os_release.IDstring Operating system identifier system-os_release.VERSION_IDstring Operating system version identifier (e.g. ‘6.7') system-os_release.VERSION_ID.majorstring First component of the OS version id (e.g. ‘6') system-os_release.VERSION_ID.minorstring Second component of the OS version id (e.g. ‘7')
Custom
The custom label source is designed for creating user defined labels. However, it has a few statically defined built-in labels:
Feature Value Description custom-rdma.capabletrue The node has an RDMA capable Network adapter custom-rdma.enabledtrue The node has the needed RDMA modules loaded to run RDMA traffic
User defined labels
NFD has many extension points for creating vendor and application specific labels. See the customization guide for detailed documentation.
Extended resources
This feature is experimental and by no means a replacement for the usage of device plugins.
Labels which have integer values, can be promoted to Kubernetes extended resources by listing them to the master -resource-labels command line flag. These labels won't then show in the node label section, they will appear only as extended resources.
An example use-case for the extended resources could be based on a hook which creates a label for the node SGX EPC memory section size. By giving the name of that label in the -resource-labels flag, that value will then turn into an extended resource of the node, allowing PODs to request that resource and the Kubernetes scheduler to schedule such PODs to only those nodes which have a sufficient capacity of said resource left.
Similar to labels, the default namespace feature.node.kubernetes.io is automatically prefixed to the extended resource, if the promoted label doesn't have a namespace.
Example usage of the command line arguments, using a new namespace: nfd-master -resource-labels=my_source-my.feature,sgx.some.ns/epc -extra-label-ns=sgx.some.ns
The above would result in following extended resources provided that related labels exist:
sgx.some.ns/epc: <label value>
feature.node.kubernetes.io/my_source-my.feature: <label value>
-
Node Feature Discovery master
\ No newline at end of file
+Usage instructions.
Usage instructions.
NFD-Master runs as a deployment (with a replica count of 1), by default it prefers running on the cluster's master nodes but will run on worker nodes if no master nodes are found.
For High Availability, you should simply increase the replica count of the deployment object. You should also look into adding inter-pod affinity to prevent masters from running on the same node. However note that inter-pod affinity is costly and is not recommended in bigger clusters.
NFD-Master listens for connections from nfd-worker(s) and connects to the Kubernetes API server to add node labels advertised by them.
If you have RBAC authorization enabled (as is the default e.g. with clusters initialized with kubeadm) you need to configure the appropriate ClusterRoles, ClusterRoleBindings and a ServiceAccount in order for NFD to create node labels. The provided template will configure these for you.
NFD-Master runs as a deployment (with a replica count of 1), by default it prefers running on the cluster's master nodes but will run on worker nodes if no master nodes are found.
For High Availability, you should simply increase the replica count of the deployment object. You should also look into adding inter-pod affinity to prevent masters from running on the same node. However note that inter-pod affinity is costly and is not recommended in bigger clusters.
NFD-Master listens for connections from nfd-worker(s) and connects to the Kubernetes API server to add node labels advertised by them.
If you have RBAC authorization enabled (as is the default e.g. with clusters initialized with kubeadm) you need to configure the appropriate ClusterRoles, ClusterRoleBindings and a ServiceAccount in order for NFD to create node labels. The provided template will configure these for you.
NFD-Topology-Updater is preferably run as a Kubernetes DaemonSet. This assures re-examination (and CR updates) on regular intervals capturing changes in the allocated resources and hence the allocatable resources on a per zone basis. It makes sure that more CR instances are created as new nodes get added to the cluster. Topology-Updater connects to the nfd-master service to create CR instances corresponding to nodes.
When run as a daemonset, nodes are re-examined for the allocated resources (to determine the information of the allocatable resources on a per zone basis where a zone can be a NUMA node) at an interval specified using the -sleep-interval option. The default sleep interval is set to 60s which is the value when no -sleep-interval is specified. In addition, it can avoid examining specific allocated resources given a configuration of resources to exclude via -excludeList
NFD-Topology-Updater supports configuration through a configuration file. The default location is /etc/kubernetes/node-feature-discovery/topology-updater.conf, but, this can be changed by specifying the-config command line flag.
NOTE: unlike nfd-worker, dynamic configuration updates are not currently supported.
Topology-Updater configuration file is read inside the container, and thus, Volumes and VolumeMounts are needed to make your configuration available for NFD. The preferred method is to use a ConfigMap which provides easy deployment and re-configurability.
The provided nfd-topology-updater deployment templates create an empty configmap and mount it inside the nfd-topology-updater containers. In kustomize deployments, configuration can be edited with:
kubectl -n ${NFD_NS} edit configmap nfd-topology-updater-conf
-In Helm deployments, Topology Updater parameters toplogyUpdater.config can be used to edit the respective configuration.
See nfd-topology-updater configuration file reference for more details. The (empty-by-default) example config contains all available configuration options and can be used as a reference for creating a configuration.
NFD-Topology-Updater is preferably run as a Kubernetes DaemonSet. This assures re-examination (and CR updates) on regular intervals capturing changes in the allocated resources and hence the allocatable resources on a per zone basis. It makes sure that more CR instances are created as new nodes get added to the cluster. Topology-Updater connects to the nfd-master service to create CR instances corresponding to nodes.
When run as a daemonset, nodes are re-examined for the allocated resources (to determine the information of the allocatable resources on a per zone basis where a zone can be a NUMA node) at an interval specified using the -sleep-interval option. The default sleep interval is set to 60s which is the value when no -sleep-interval is specified. In addition, it can avoid examining specific allocated resources given a configuration of resources to exclude via -excludeList
NFD-Topology-Updater supports configuration through a configuration file. The default location is /etc/kubernetes/node-feature-discovery/topology-updater.conf, but, this can be changed by specifying the-config command line flag.
NOTE: unlike nfd-worker, dynamic configuration updates are not currently supported.
Topology-Updater configuration file is read inside the container, and thus, Volumes and VolumeMounts are needed to make your configuration available for NFD. The preferred method is to use a ConfigMap which provides easy deployment and re-configurability.
The provided nfd-topology-updater deployment templates create an empty configmap and mount it inside the nfd-topology-updater containers. In kustomize deployments, configuration can be edited with:
kubectl -n ${NFD_NS} edit configmap nfd-topology-updater-conf
+In Helm deployments, Topology Updater parameters toplogyUpdater.config can be used to edit the respective configuration.
See nfd-topology-updater configuration file reference for more details. The (empty-by-default) example config contains all available configuration options and can be used as a reference for creating a configuration.
NFD-Worker is preferably run as a Kubernetes DaemonSet. This assures re-labeling on regular intervals capturing changes in the system configuration and makes sure that new nodes are labeled as they are added to the cluster. Worker connects to the nfd-master service to advertise hardware features.
When run as a daemonset, nodes are re-labeled at an default interval of 60s. This can be changed by using the core.sleepInterval config option (or -sleep-interval command line flag).
The worker configuration file is watched and re-read on every change which provides a simple mechanism of dynamic run-time reconfiguration. See worker configuration for more details.
NFD-Worker supports dynamic configuration through a configuration file. The default location is /etc/kubernetes/node-feature-discovery/nfd-worker.conf, but, this can be changed by specifying the-config command line flag. Configuration file is re-read whenever it is modified which makes run-time re-configuration of nfd-worker straightforward.
Worker configuration file is read inside the container, and thus, Volumes and VolumeMounts are needed to make your configuration available for NFD. The preferred method is to use a ConfigMap which provides easy deployment and re-configurability.
The provided nfd-worker deployment templates create an empty configmap and mount it inside the nfd-worker containers. In kustomize deployments, configuration can be edited with:
kubectl -n ${NFD_NS} edit configmap nfd-worker-conf
+ NFD-Worker · Node Feature Discovery
NFD-Worker
Table of contents
NFD-Worker is preferably run as a Kubernetes DaemonSet. This assures re-labeling on regular intervals capturing changes in the system configuration and makes sure that new nodes are labeled as they are added to the cluster. Worker connects to the nfd-master service to advertise hardware features.
When run as a daemonset, nodes are re-labeled at an default interval of 60s. This can be changed by using the core.sleepInterval config option (or -sleep-interval command line flag).
The worker configuration file is watched and re-read on every change which provides a simple mechanism of dynamic run-time reconfiguration. See worker configuration for more details.
Worker configuration
NFD-Worker supports dynamic configuration through a configuration file. The default location is /etc/kubernetes/node-feature-discovery/nfd-worker.conf, but, this can be changed by specifying the-config command line flag. Configuration file is re-read whenever it is modified which makes run-time re-configuration of nfd-worker straightforward.
Worker configuration file is read inside the container, and thus, Volumes and VolumeMounts are needed to make your configuration available for NFD. The preferred method is to use a ConfigMap which provides easy deployment and re-configurability.
The provided nfd-worker deployment templates create an empty configmap and mount it inside the nfd-worker containers. In kustomize deployments, configuration can be edited with:
kubectl -n ${NFD_NS} edit configmap nfd-worker-conf
In Helm deployments, Worker pod parameter worker.config can be used to edit the respective configuration.
See nfd-worker configuration file reference for more details. The (empty-by-default) example config contains all available configuration options and can be used as a reference for creating a configuration.
Configuration options can also be specified via the -options command line flag, in which case no mounts need to be used. The same format as in the config file must be used, i.e. JSON (or YAML). For example:
-options='{"sources": { "pci": { "deviceClassWhitelist": ["12"] } } }'
-
Configuration options specified from the command line will override those read from the config file.
Node Feature Discovery master
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+Configuration options specified from the command line will override those read from the config file.
Nodes with specific features can be targeted using the nodeSelector field. The following example shows how to target nodes with Intel TurboBoost enabled.
apiVersion: v1
+ Using node labels · Node Feature Discovery
Using node labels
Nodes with specific features can be targeted using the nodeSelector field. The following example shows how to target nodes with Intel TurboBoost enabled.
apiVersion: v1
kind: Pod
metadata:
labels:
@@ -10,4 +10,4 @@
name: go1
nodeSelector:
feature.node.kubernetes.io/cpu-pstate.turbo: 'true'
-
For more details on targeting nodes, see node selection.
Node Feature Discovery master
\ No newline at end of file
+For more details on targeting nodes, see node selection.