[{"title":"Feature labels","layout":"default","sort":1,"content":"

Feature labels

\n\n

Table of contents

\n\n
    \n
  1. Built-in labels
      \n
    1. CPU
    2. \n
    3. Kernel
    4. \n
    5. Memory
    6. \n
    7. Network
    8. \n
    9. PCI
    10. \n
    11. USB
    12. \n
    13. Storage
    14. \n
    15. System
    16. \n
    17. Custom
    18. \n
    \n
  2. \n
  3. User defined labels
  4. \n
  5. Extended resources
  6. \n
\n\n
\n\n

Features are advertised as labels in the Kubernetes Node object.

\n\n

Built-in labels

\n\n

Label creation in nfd-worker is performed by a set of separate modules called\nlabel sources. The\ncore.labelSources\nconfiguration option (or\n-label-sources\nflag) of nfd-worker controls which sources to enable for label generation.

\n\n

All built-in labels use the feature.node.kubernetes.io label namespace and\nhave the following format.

\n\n
feature.node.kubernetes.io/<feature> = <value>\n
\n\n
\n

NOTE: Consecutive runs of nfd-worker will update the labels on a\ngiven node. If features are not discovered on a consecutive run, the corresponding\nlabel will be removed. This includes any restrictions placed on the consecutive run,\nsuch as restricting discovered features with the\n-label-whitelist\nflag of nfd-master or\ncore.labelWhiteList\noption of nfd-worker.

\n
\n\n

CPU

\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
Feature nameValueDescription
cpu-cpuid.<cpuid-flag>trueCPU capability is supported. NOTE: the capability might be supported but not enabled.
cpu-hardware_multithreadingtrueHardware multithreading, such as Intel HTT, enabled (number of logical CPUs is greater than physical CPUs)
cpu-coprocessor.nx_gziptrueNest Accelerator for GZIP is supported(Power).
cpu-power.sst_bf.enabledtrueIntel SST-BF (Intel Speed Select Technology - Base frequency) enabled
cpu-pstate.statusstringThe status of the Intel pstate driver when in use and enabled, either ‘active’ or ‘passive’.
cpu-pstate.turboboolSet to ‘true’ if turbo frequencies are enabled in Intel pstate driver, set to ‘false’ if they have been disabled.
cpu-pstate.scaling_governorstringThe value of the Intel pstate scaling_governor when in use, either ‘powersave’ or ‘performance’.
cpu-cstate.enabledboolSet 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>trueDEPRECATED Intel RDT capability is supported. See RDT flags for details.
cpu-security.sgx.enabledtrueSet to ‘true’ if Intel SGX is enabled in BIOS (based on a non-zero sum value of SGX EPC section sizes).
cpu-security.se.enabledtrueSet 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.enabledtrueSet to ‘true’ if Intel TDX is available on the host and has been enabled (requires /sys/module/kvm_intel/parameters/tdx).
cpu-security.sev.enabledtrueSet to ‘true’ if ADM SEV is available on the host and has been enabled (requires /sys/module/kvm_amd/parameters/sev).
cpu-security.sev.es.enabledtrueSet to ‘true’ if ADM SEV-ES is available on the host and has been enabled (requires /sys/module/kvm_amd/parameters/sev_es).
cpu-security.sev.snp.enabledtrueSet to ‘true’ if ADM SEV-SNP is available on the host and has been enabled (requires /sys/module/kvm_amd/parameters/sev_snp).
cpu-security.sex.asidsintThe total amount of AMD SEV address-space identifiers (ASIDs), based on the /sys/fs/cgroup/misc.capacity information.
cpu-security.sex.encrypted_state_idsintThe total amount of AMD SEV-ES and SEV-SNP supported, based on the /sys/fs/cgroup/misc.capacity information.
cpu-sgx.enabledtrueDEPRECATED: use cpu-security.sgx.enabled instead.
cpu-se.enabledtrueDEPRECATED: use cpu-security.se.enabled instead.
cpu-model.vendor_idstringComparable CPU vendor ID.
cpu-model.familyintCPU family.
cpu-model.idintCPU model number.
\n\n
\n

NOTE: the cpu-rdt.<rdt-flag> labels are deprecated and will be removed in a\nfuture release. They will remain to be available as features\nfor NodeFeatureRule to consume.\nSee customization guide\nfor details how to use NodeFeatureRule objects to create labels.

\n
\n\n

The CPU label source is configurable, see\nworker configuration and\nsources.cpu\nconfiguration options for details.

\n\n

X86 CPUID flags (partial list)

\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
FlagDescription
ADXMulti-Precision Add-Carry Instruction Extensions (ADX)
AESNIAdvanced Encryption Standard (AES) New Instructions (AES-NI)
AVXAdvanced Vector Extensions (AVX)
AVX2Advanced Vector Extensions 2 (AVX2)
AVXVNNIAVX (VEX encoded) VNNI neural network instructions
AMXBF16Advanced Matrix Extension, tile multiplication operations on BFLOAT16 numbers
AMXINT8Advanced Matrix Extension, tile multiplication operations on 8-bit integers
AMXFP16Advanced Matrix Extension, tile multiplication operations on FP16 numbers
AMXTILEAdvanced Matrix Extension, base tile architecture support
AVX512BF16AVX-512 BFLOAT16 instructions
AVX512BITALGAVX-512 bit Algorithms
AVX512BWAVX-512 byte and word Instructions
AVX512CDAVX-512 conflict detection instructions
AVX512DQAVX-512 doubleword and quadword instructions
AVX512ERAVX-512 exponential and reciprocal instructions
AVX512FAVX-512 foundation
AVX512FP16AVX-512 FP16 instructions
AVX512IFMAAVX-512 integer fused multiply-add instructions
AVX512PFAVX-512 prefetch instructions
AVX512VBMIAVX-512 vector bit manipulation instructions
AVX512VBMI2AVX-512 vector bit manipulation instructions, version 2
AVX512VLAVX-512 vector length extensions
AVX512VNNIAVX-512 vector neural network instructions
AVX512VP2INTERSECTAVX-512 intersect for D/Q
AVX512VPOPCNTDQAVX-512 vector population count doubleword and quadword
AVXIFMAAVX-IFMA instructions
AVXNECONVERTAVX-NE-CONVERT instructions
AVXVNNIINT8AVX-VNNI-INT8 instructions
CMPCCXADDCMPCCXADD instructions
ENQCMDEnqueue Command
GFNIGalois Field New Instructions
HYPERVISORRunning under hypervisor
MSRLISTRead/Write List of Model Specific Registers
PREFETCHIPREFETCHIT0/1 instructions
VAESAVX-512 vector AES instructions
VPCLMULQDQCarry-less multiplication quadword
WRMSRNSNon-Serializing Write to Model Specific Register
\n\n

By default, the following CPUID flags have been blacklisted: BMI1, BMI2, CLMUL,\nCMOV, CX16, ERMS, F16C, HTT, LZCNT, MMX, MMXEXT, NX, POPCNT, RDRAND, RDSEED,\nRDTSCP, SGX, SSE, SSE2, SSE3, SSE4, SSE42 and SSSE3. See\nsources.cpu\nconfiguration options to change the behavior.

\n\n

See the full list in github.com/klauspost/cpuid.

\n\n

Arm CPUID flags (partial list)

\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
FlagDescription
IDIVAInteger divide instructions available in ARM mode
IDIVTInteger divide instructions available in Thumb mode
THUMBThumb instructions
FASTMULFast multiplication
VFPVector floating point instruction extension (VFP)
VFPv3Vector floating point extension v3
VFPv4Vector floating point extension v4
VFPD32VFP with 32 D-registers
HALFHalf-word loads and stores
EDSPDSP extensions
NEONNEON SIMD instructions
LPAELarge Physical Address Extensions
\n\n

Arm64 CPUID flags (partial list)

\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
FlagDescription
AESAnnouncing the Advanced Encryption Standard
EVSTRMEvent Stream Frequency Features
FPHPHalf Precision(16bit) Floating Point Data Processing Instructions
ASIMDHPHalf Precision(16bit) Asimd Data Processing Instructions
ATOMICSAtomic Instructions to the A64
ASIMRDMSupport for Rounding Double Multiply Add/Subtract
PMULLOptional Cryptographic and CRC32 Instructions
JSCVTPerform Conversion to Match Javascript
DCPOPPersistent Memory Support
\n\n

Kernel

\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
FeatureValueDescription
kernel-config.<option>trueKernel config option is enabled (set ‘y’ or ‘m’). Default options are NO_HZ, NO_HZ_IDLE, NO_HZ_FULL and PREEMPT
kernel-selinux.enabledtrueSelinux is enabled on the node
kernel-version.fullstringFull kernel version as reported by /proc/sys/kernel/osrelease (e.g. ‘4.5.6-7-g123abcde’)
kernel-version.majorstringFirst component of the kernel version (e.g. ‘4’)
kernel-version.minorstringSecond component of the kernel version (e.g. ‘5’)
kernel-version.revisionstringThird component of the kernel version (e.g. ‘6’)
\n\n

The kernel label source is configurable, see\nworker configuration and\nsources.kernel\nconfiguration options for details.

\n\n

Memory

\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
FeatureValueDescription
memory-numatrueMultiple memory nodes i.e. NUMA architecture detected
memory-nv.presenttrueNVDIMM device(s) are present
memory-nv.daxtrueNVDIMM region(s) configured in DAX mode are present
\n\n

Network

\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
FeatureValueDescription
network-sriov.capabletrueSingle Root Input/Output Virtualization (SR-IOV) enabled Network Interface Card(s) present
network-sriov.configuredtrueSR-IOV virtual functions have been configured
\n\n

PCI

\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
FeatureValueDescription
pci-<device label>.presenttruePCI device is detected
pci-<device label>.sriov.capabletrueSingle Root Input/Output Virtualization (SR-IOV) enabled PCI device present
\n\n

<device label> is format is configurable and set to <class>_<vendor> by\ndefault. For more more details about configuration of the pci labels, see\nsources.pci options\nand worker configuration\ninstructions.

\n\n

USB

\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
FeatureValueDescription
usb-<device label>.presenttrueUSB device is detected
\n\n

<device label> is format is configurable and set to\n<class>_<vendor>_<device> by default. For more more details about\nconfiguration of the usb labels, see\nsources.usb options\nand worker configuration\ninstructions.

\n\n

Storage

\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
FeatureValueDescription
storage-nonrotationaldisktrueNon-rotational disk, like SSD, is present in the node
\n\n

System

\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
FeatureValueDescription
system-os_release.IDstringOperating system identifier
system-os_release.VERSION_IDstringOperating system version identifier (e.g. ‘6.7’)
system-os_release.VERSION_ID.majorstringFirst component of the OS version id (e.g. ‘6’)
system-os_release.VERSION_ID.minorstringSecond component of the OS version id (e.g. ‘7’)
\n\n

Custom

\n\n

The custom label source is designed for creating\nuser defined labels. However, it has a few statically\ndefined built-in labels:

\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
FeatureValueDescription
custom-rdma.capabletrueThe node has an RDMA capable Network adapter
custom-rdma.enabledtrueThe node has the needed RDMA modules loaded to run RDMA traffic
\n\n

User defined labels

\n\n

NFD has many extension points for creating vendor and application specific\nlabels. See the customization guide for\ndetailed documentation.

\n\n

Extended resources

\n\n

This feature is experimental and by no means a replacement for the usage of\ndevice plugins.

\n\n

Labels which have integer values, can be promoted to Kubernetes extended\nresources by listing them to the master -resource-labels command line flag.\nThese labels won’t then show in the node label section, they will appear only\nas extended resources.

\n\n

An example use-case for the extended resources could be based on a hook which\ncreates a label for the node SGX EPC memory section size. By giving the name of\nthat label in the -resource-labels flag, that value will then turn into an\nextended resource of the node, allowing PODs to request that resource and the\nKubernetes scheduler to schedule such PODs to only those nodes which have a\nsufficient capacity of said resource left.

\n\n

Similar to labels, the default namespace feature.node.kubernetes.io is\nautomatically prefixed to the extended resource, if the promoted label doesn’t\nhave a namespace.

\n\n

Example usage of the command line arguments, using a new namespace:\nnfd-master -resource-labels=my_source-my.feature,sgx.some.ns/epc -extra-label-ns=sgx.some.ns

\n\n

The above would result in following extended resources provided that related\nlabels exist:

\n\n
  sgx.some.ns/epc: <label value>\n  feature.node.kubernetes.io/my_source-my.feature: <label value>\n
\n\n\n","dir":"/usage/","name":"features.md","path":"usage/features.md","url":"/usage/features.html"},{"title":"Get started","layout":"default","sort":1,"content":"

Node Feature Discovery

\n\n

Welcome to Node Feature Discovery – a Kubernetes add-on for detecting hardware\nfeatures and system configuration!

\n\n

Continue to:

\n\n\n\n

Quick-start – the short-short version

\n\n
$ kubectl apply -k https://github.com/kubernetes-sigs/node-feature-discovery/deployment/overlays/default?ref=v0.13.6\n  namespace/node-feature-discovery created\n  serviceaccount/nfd-master created\n  clusterrole.rbac.authorization.k8s.io/nfd-master created\n  clusterrolebinding.rbac.authorization.k8s.io/nfd-master created\n  configmap/nfd-worker-conf created\n  service/nfd-master created\n  deployment.apps/nfd-master created\n  daemonset.apps/nfd-worker created\n\n$ kubectl -n node-feature-discovery get all\n  NAME                              READY   STATUS    RESTARTS   AGE\n  pod/nfd-master-555458dbbc-sxg6w   1/1     Running   0          56s\n  pod/nfd-worker-mjg9f              1/1     Running   0          17s\n...\n\n$ kubectl get nodes -o json | jq .items[].metadata.labels\n  {\n    \"kubernetes.io/arch\": \"amd64\",\n    \"kubernetes.io/os\": \"linux\",\n    \"feature.node.kubernetes.io/cpu-cpuid.ADX\": \"true\",\n    \"feature.node.kubernetes.io/cpu-cpuid.AESNI\": \"true\",\n...\n\n
\n","dir":"/get-started/","name":"index.md","path":"get-started/index.md","url":"/get-started/"},{"title":"Image variants","layout":"default","sort":1,"content":"

Image variants

\n\n

Table of contents

\n\n
    \n
  1. Minimal
  2. \n
  3. Full
  4. \n
\n\n
\n\n

NFD currently offers two variants of the container image. The “minimal” variant is\ncurrently deployed by default. Released container images are available for\nx86_64 and Arm64 architectures.

\n\n

Minimal

\n\n

This is a minimal image based on\ngcr.io/distroless/base\nand only supports running statically linked binaries.

\n\n

For backwards compatibility a container image tag with suffix -minimal\n(e.g. registry.k8s.io/nfd/node-feature-discovery:v0.13.6-minimal) is provided.

\n\n

Full

\n\n

This image is based on debian:bullseye-slim\nand contains a full Linux system for running shell-based nfd-worker hooks and\ndoing live debugging and diagnosis of the NFD images.

\n\n

The container image tag has suffix -full\n(e.g. registry.k8s.io/nfd/node-feature-discovery:v0.13.6-full).

\n","dir":"/deployment/","name":"image-variants.md","path":"deployment/image-variants.md","url":"/deployment/image-variants.html"},{"title":"Introduction","layout":"default","sort":1,"content":"

Introduction

\n\n

Table of contents

\n\n
    \n
  1. NFD-Master
  2. \n
  3. NFD-Worker
  4. \n
  5. NFD-Topology-Updater
  6. \n
  7. NFD-Topology-GC
  8. \n
  9. Feature Discovery
  10. \n
  11. Node annotations
  12. \n
  13. Custom resources
  14. \n
\n\n
\n\n

This software enables node feature discovery for Kubernetes. It detects\nhardware features available on each node in a Kubernetes cluster, and\nadvertises those features using node labels and optionally node extended\nresources and node taints.

\n\n

NFD consists of four software components:

\n\n
    \n
  1. nfd-master
  2. \n
  3. nfd-worker
  4. \n
  5. nfd-topology-updater
  6. \n
  7. nfd-topology-gc
  8. \n
\n\n

NFD-Master

\n\n

NFD-Master is the daemon responsible for communication towards the Kubernetes\nAPI. That is, it receives labeling requests from the worker and modifies node\nobjects accordingly.

\n\n

NFD-Worker

\n\n

NFD-Worker is a daemon responsible for feature detection. It then communicates\nthe information to nfd-master which does the actual node labeling. One\ninstance of nfd-worker is supposed to be running on each node of the cluster,

\n\n

NFD-Topology-Updater

\n\n

NFD-Topology-Updater is a daemon responsible for examining allocated\nresources on a worker node to account for resources available to be allocated\nto new pod on a per-zone basis (where a zone can be a NUMA node). It then\ncreates or updates a\nNodeResourceTopology custom\nresource object specific to this node. One instance of nfd-topology-updater is\nsupposed to be running on each node of the cluster.

\n\n

NFD-Topology-GC

\n\n

NFD-Topology-GC is a daemon responsible for cleaning obsolete\nNodeResourceTopology objects,\nobsolete means that there is no corresponding worker node.

\n\n

One instance of nfd-topology-gc is supposed to be running in the cluster.

\n\n

Feature Discovery

\n\n

Feature discovery is divided into domain-specific feature sources:

\n\n\n\n

Each feature source is responsible for detecting a set of features which. in\nturn, are turned into node feature labels. Feature labels are prefixed with\nfeature.node.kubernetes.io/ and also contain the name of the feature source.\nNon-standard user-specific feature labels can be created with the local and\ncustom feature sources.

\n\n

An overview of the default feature labels:

\n\n
{\n  \"feature.node.kubernetes.io/cpu-<feature-name>\": \"true\",\n  \"feature.node.kubernetes.io/custom-<feature-name>\": \"true\",\n  \"feature.node.kubernetes.io/kernel-<feature name>\": \"<feature value>\",\n  \"feature.node.kubernetes.io/memory-<feature-name>\": \"true\",\n  \"feature.node.kubernetes.io/network-<feature-name>\": \"true\",\n  \"feature.node.kubernetes.io/pci-<device label>.present\": \"true\",\n  \"feature.node.kubernetes.io/storage-<feature-name>\": \"true\",\n  \"feature.node.kubernetes.io/system-<feature name>\": \"<feature value>\",\n  \"feature.node.kubernetes.io/usb-<device label>.present\": \"<feature value>\",\n  \"feature.node.kubernetes.io/<file name>-<feature name>\": \"<feature value>\"\n}\n
\n\n

Node annotations

\n\n

NFD also annotates nodes it is running on:

\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
AnnotationDescription
[<instance>.]nfd.node.kubernetes.io/master.versionVersion of the nfd-master instance running on the node. Informative use only.
[<instance>.]nfd.node.kubernetes.io/worker.versionVersion of the nfd-worker instance running on the node. Informative use only.
[<instance>.]nfd.node.kubernetes.io/feature-labelsComma-separated list of node labels managed by NFD. NFD uses this internally so must not be edited by users.
[<instance>.]nfd.node.kubernetes.io/extended-resourcesComma-separated list of node extended resources managed by NFD. NFD uses this internally so must not be edited by users.
\n\n

NOTE: the -instance\ncommand line flag affects the annotation names

\n\n

Unapplicable annotations are not created, i.e. for example master.version is\nonly created on nodes running nfd-master.

\n\n

Custom resources

\n\n

NFD takes use of some Kubernetes Custom Resources.

\n\n

NodeFeatures (EXPERIMENTAL)\ncan be used for representing node features and requesting node labels to be\ngenerated.

\n\n

NFD-Master uses NodeFeatureRules\nfor custom labeling of nodes.

\n\n

NFD-Topology-Updater creates\nNodeResourceTopology objects\nthat describe the hardware topology of node resources.

\n","dir":"/get-started/","name":"introduction.md","path":"get-started/introduction.md","url":"/get-started/introduction.html"},{"title":"Master cmdline reference","layout":"default","sort":1,"content":"

Commandline flags of nfd-master

\n\n

Table of contents

\n\n
    \n
  1. -h, -help
  2. \n
  3. -version
  4. \n
  5. -prune
  6. \n
  7. -port
  8. \n
  9. -instance
  10. \n
  11. -ca-file
  12. \n
  13. -cert-file
  14. \n
  15. -key-file
  16. \n
  17. -verify-node-name
  18. \n
  19. -enable-nodefeature-api
  20. \n
  21. -enable-taints
  22. \n
  23. -no-publish
  24. \n
  25. -crd-controller
  26. \n
  27. -featurerules-controller
  28. \n
  29. -label-whitelist
  30. \n
  31. -extra-label-ns
  32. \n
  33. -deny-label-ns
  34. \n
  35. -resource-labels
  36. \n
  37. -config
  38. \n
  39. -options
  40. \n
  41. Logging
  42. \n
\n\n
\n\n

To quickly view available command line flags execute nfd-master -help.\nIn a docker container:

\n\n
docker run registry.k8s.io/nfd/node-feature-discovery:v0.13.6 nfd-master -help\n
\n\n

-h, -help

\n\n

Print usage and exit.

\n\n

-version

\n\n

Print version and exit.

\n\n

-prune

\n\n

The -prune flag is a sub-command like option for cleaning up the cluster. It\ncauses nfd-master to remove all NFD related labels, annotations and extended\nresources from all Node objects of the cluster and exit.

\n\n

-port

\n\n

The -port flag specifies the TCP port that nfd-master listens for incoming requests.

\n\n

Default: 8080

\n\n

Example:

\n\n
nfd-master -port=443\n
\n\n

-instance

\n\n

The -instance flag makes it possible to run multiple NFD deployments in\nparallel. In practice, it separates the node annotations between deployments so\nthat each of them can store metadata independently. The instance name must\nstart and end with an alphanumeric character and may only contain alphanumeric\ncharacters, -, _ or ..

\n\n

Default: empty

\n\n

Example:

\n\n
nfd-master -instance=network\n
\n\n

-ca-file

\n\n

The -ca-file is one of the three flags (together with -cert-file and\n-key-file) controlling master-worker mutual TLS authentication on the\nnfd-master side. This flag specifies the TLS root certificate that is used for\nauthenticating incoming connections. NFD-Worker side needs to have matching key\nand cert files configured in order for the incoming requests to be accepted.

\n\n

Default: empty

\n\n

Note: Must be specified together with -cert-file and -key-file

\n\n

Example:

\n\n
nfd-master -ca-file=/opt/nfd/ca.crt -cert-file=/opt/nfd/master.crt -key-file=/opt/nfd/master.key\n
\n\n

-cert-file

\n\n

The -cert-file is one of the three flags (together with -ca-file and\n-key-file) controlling master-worker mutual TLS authentication on the\nnfd-master side. This flag specifies the TLS certificate presented for\nauthenticating outgoing traffic towards nfd-worker.

\n\n

Default: empty

\n\n

Note: Must be specified together with -ca-file and -key-file

\n\n

Example:

\n\n
nfd-master -cert-file=/opt/nfd/master.crt -key-file=/opt/nfd/master.key -ca-file=/opt/nfd/ca.crt\n
\n\n

-key-file

\n\n

The -key-file is one of the three flags (together with -ca-file and\n-cert-file) controlling master-worker mutual TLS authentication on the\nnfd-master side. This flag specifies the private key corresponding the given\ncertificate file (-cert-file) that is used for authenticating outgoing\ntraffic.

\n\n

Default: empty

\n\n

Note: Must be specified together with -cert-file and -ca-file

\n\n

Example:

\n\n
nfd-master -key-file=/opt/nfd/master.key -cert-file=/opt/nfd/master.crt -ca-file=/opt/nfd/ca.crt\n
\n\n

-verify-node-name

\n\n

The -verify-node-name flag controls the NodeName based authorization of\nincoming requests and only has effect when mTLS authentication has been enabled\n(with -ca-file, -cert-file and -key-file). If enabled, the worker node\nname of the incoming must match with the CN or a SAN in its TLS certificate. Thus,\nworkers are only able to label the node they are running on (or the node whose\ncertificate they present).

\n\n

Node Name based authorization is disabled by default.

\n\n

Default: false

\n\n

Example:

\n\n
nfd-master -verify-node-name -ca-file=/opt/nfd/ca.crt \\\n    -cert-file=/opt/nfd/master.crt -key-file=/opt/nfd/master.key\n
\n\n

-enable-nodefeature-api

\n\n

The -enable-nodefeature-api flag enables the\nNodeFeature CRD API for receiving\nfeature requests. This will also automatically disable the gRPC interface.

\n\n

Default: false

\n\n

Example:

\n\n
nfd-master -enable-nodefeature-api\n
\n\n

-enable-taints

\n\n

The -enable-taints flag enables/disables node tainting feature of NFD.

\n\n

Default: false

\n\n

Example:

\n\n
nfd-master -enable-taints=true\n
\n\n

-no-publish

\n\n

The -no-publish flag disables updates to the Node objects in the Kubernetes\nAPI server, making a “dry-run” flag for nfd-master. No Labels, Annotations or\nExtendedResources of nodes are updated.

\n\n

Default: false

\n\n

Example:

\n\n
nfd-master -no-publish\n
\n\n

-crd-controller

\n\n

The -crd-controller flag specifies whether the NFD CRD API controller is\nenabled or not. The controller is responsible for processing\nNodeFeature and\nNodeFeatureRule objects.

\n\n

Default: true

\n\n

Example:

\n\n
nfd-master -crd-controller=false\n
\n\n

-featurerules-controller

\n\n

DEPRECATED: use -crd-controller instead.

\n\n

-label-whitelist

\n\n

The -label-whitelist specifies a regular expression for filtering feature\nlabels based on their name. Each label must match against the given reqular\nexpression in order to be published.

\n\n

Note: The regular expression is only matches against the “basename” part of the\nlabel, i.e. to the part of the name after ‘/’. The label namespace is omitted.

\n\n

Default: empty

\n\n

Example:

\n\n
nfd-master -label-whitelist='.*cpuid\\.'\n
\n\n

-extra-label-ns

\n\n

The -extra-label-ns flag specifies a comma-separated list of allowed feature\nlabel namespaces. This option can be used to allow\nother vendor or application specific namespaces for custom labels from the\nlocal and custom feature sources, even though these labels were denied using\nthe deny-label-ns flag.

\n\n

The same namespace control and this flag applies Extended Resources (created\nwith -resource-labels), too.

\n\n

Default: empty

\n\n

Example:

\n\n
nfd-master -extra-label-ns=vendor-1.com,vendor-2.io\n
\n\n

-deny-label-ns

\n\n

The -deny-label-ns flag specifies a comma-separated list of excluded\nlabel namespaces. By default, nfd-master allows creating labels in all\nnamespaces, excluding kubernetes.io namespace and its sub-namespaces\n(i.e. *.kubernetes.io). However, you should note that\nkubernetes.io and its sub-namespaces are always denied.\nFor example, nfd-master -deny-label-ns=\"\" would still disallow\nkubernetes.io and *.kubernetes.io.\nThis option can be used to exclude some vendors or application specific\nnamespaces.\nNote that the namespaces feature.node.kubernetes.io and profile.node.kubernetes.io\nand their sub-namespaces are always allowed and cannot be denied.

\n\n

Default: empty

\n\n

Example:

\n\n
nfd-master -deny-label-ns=*.vendor.com,vendor-2.io\n
\n\n

-resource-labels

\n\n

DEPRECATED: NodeFeatureRule\nshould be used for managing extended resources in NFD.

\n\n

The -resource-labels flag specifies a comma-separated list of features to be\nadvertised as extended resources instead of labels. Features that have integer\nvalues can be published as Extended Resources by listing them in this flag.

\n\n

Default: empty

\n\n

Example:

\n\n
nfd-master -resource-labels=vendor-1.com/feature-1,vendor-2.io/feature-2\n
\n\n

-config

\n\n

The -config flag specifies the path of the nfd-master configuration file to\nuse.

\n\n

Default: /etc/kubernetes/node-feature-discovery/nfd-master.conf

\n\n

Example:

\n\n
nfd-master -config=/opt/nfd/master.conf\n
\n\n

-options

\n\n

The -options flag may be used to specify and override configuration file\noptions directly from the command line. The required format is the same as in\nthe config file i.e. JSON or YAML. Configuration options specified via this\nflag will override those from the configuration file:

\n\n

Default: empty

\n\n

Example:

\n\n
nfd-master -options='{\"noPublish\": true}'\n
\n\n

Logging

\n\n

The following logging-related flags are inherited from the\nklog package.

\n\n

-add_dir_header

\n\n

If true, adds the file directory to the header of the log messages.

\n\n

Default: false

\n\n

-alsologtostderr

\n\n

Log to standard error as well as files.

\n\n

Default: false

\n\n

-log_backtrace_at

\n\n

When logging hits line file:N, emit a stack trace.

\n\n

Default: empty

\n\n

-log_dir

\n\n

If non-empty, write log files in this directory.

\n\n

Default: empty

\n\n

-log_file

\n\n

If non-empty, use this log file.

\n\n

Default: empty

\n\n

-log_file_max_size

\n\n

Defines the maximum size a log file can grow to. Unit is megabytes. If the\nvalue is 0, the maximum file size is unlimited.

\n\n

Default: 1800

\n\n

-logtostderr

\n\n

Log to standard error instead of files

\n\n

Default: true

\n\n

-skip_headers

\n\n

If true, avoid header prefixes in the log messages.

\n\n

Default: false

\n\n

-skip_log_headers

\n\n

If true, avoid headers when opening log files.

\n\n

Default: false

\n\n

-stderrthreshold

\n\n

Logs at or above this threshold go to stderr.

\n\n

Default: 2

\n\n

-v

\n\n

Number for the log level verbosity.

\n\n

Default: 0

\n\n

-vmodule

\n\n

Comma-separated list of pattern=N settings for file-filtered logging.

\n\n

Default: empty

\n","dir":"/reference/","name":"master-commandline-reference.md","path":"reference/master-commandline-reference.md","url":"/reference/master-commandline-reference.html"},{"title":"Using node labels","layout":"default","sort":2,"content":"

Using node labels

\n\n
\n\n

Nodes with specific features can be targeted using the nodeSelector field. The\nfollowing example shows how to target nodes with Intel TurboBoost enabled.

\n\n
apiVersion: v1\nkind: Pod\nmetadata:\n  labels:\n    env: test\n  name: golang-test\nspec:\n  containers:\n    - image: golang\n      name: go1\n  nodeSelector:\n    feature.node.kubernetes.io/cpu-pstate.turbo: 'true'\n
\n\n

For more details on targeting nodes, see\nnode selection.

\n","dir":"/usage/","name":"using-labels.md","path":"usage/using-labels.md","url":"/usage/using-labels.html"},{"title":"Worker cmdline reference","layout":"default","sort":2,"content":"

Commandline flags of nfd-worker

\n\n

Table of contents

\n\n
    \n
  1. -h, -help
  2. \n
  3. -version
  4. \n
  5. -config
  6. \n
  7. -options
  8. \n
  9. -server
  10. \n
  11. -ca-file
  12. \n
  13. -cert-file
  14. \n
  15. -key-file
  16. \n
  17. -kubeconfig
  18. \n
  19. -server-name-override
  20. \n
  21. -feature-sources
  22. \n
  23. -label-sources
  24. \n
  25. -enable-nodefeature-api
  26. \n
  27. -no-publish
  28. \n
  29. -oneshot
  30. \n
  31. Logging
  32. \n
\n\n
\n\n

To quickly view available command line flags execute nfd-worker -help.\nIn a docker container:

\n\n
docker run registry.k8s.io/nfd/node-feature-discovery:v0.13.6 nfd-worker -help\n
\n\n

-h, -help

\n\n

Print usage and exit.

\n\n

-version

\n\n

Print version and exit.

\n\n

-config

\n\n

The -config flag specifies the path of the nfd-worker configuration file to\nuse.

\n\n

Default: /etc/kubernetes/node-feature-discovery/nfd-worker.conf

\n\n

Example:

\n\n
nfd-worker -config=/opt/nfd/worker.conf\n
\n\n

-options

\n\n

The -options flag may be used to specify and override configuration file\noptions directly from the command line. The required format is the same as in\nthe config file i.e. JSON or YAML. Configuration options specified via this\nflag will override those from the configuration file:

\n\n

Default: empty

\n\n

Example:

\n\n
nfd-worker -options='{\"sources\":{\"cpu\":{\"cpuid\":{\"attributeWhitelist\":[\"AVX\",\"AVX2\"]}}}}'\n
\n\n

-server

\n\n

The -server flag specifies the address of the nfd-master endpoint where to\nconnect to.

\n\n

Default: localhost:8080

\n\n

Example:

\n\n
nfd-worker -server=nfd-master.nfd.svc.cluster.local:443\n
\n\n

-ca-file

\n\n

The -ca-file is one of the three flags (together with -cert-file and\n-key-file) controlling the mutual TLS authentication on the worker side.\nThis flag specifies the TLS root certificate that is used for verifying the\nauthenticity of nfd-master.

\n\n

Default: empty

\n\n

Note: Must be specified together with -cert-file and -key-file

\n\n

Example:

\n\n
nfd-worker -ca-file=/opt/nfd/ca.crt -cert-file=/opt/nfd/worker.crt -key-file=/opt/nfd/worker.key\n
\n\n

-cert-file

\n\n

The -cert-file is one of the three flags (together with -ca-file and\n-key-file) controlling mutual TLS authentication on the worker side. This\nflag specifies the TLS certificate presented for authenticating outgoing\nrequests.

\n\n

Default: empty

\n\n

Note: Must be specified together with -ca-file and -key-file

\n\n

Example:

\n\n
nfd-workerr -cert-file=/opt/nfd/worker.crt -key-file=/opt/nfd/worker.key -ca-file=/opt/nfd/ca.crt\n
\n\n

-key-file

\n\n

The -key-file is one of the three flags (together with -ca-file and\n-cert-file) controlling the mutual TLS authentication on the worker side.\nThis flag specifies the private key corresponding the given certificate file\n(-cert-file) that is used for authenticating outgoing requests.

\n\n

Default: empty

\n\n

Note: Must be specified together with -cert-file and -ca-file

\n\n

Example:

\n\n
nfd-worker -key-file=/opt/nfd/worker.key -cert-file=/opt/nfd/worker.crt -ca-file=/opt/nfd/ca.crt\n
\n\n

-kubeconfig

\n\n

The -kubeconfig flag specifies the kubeconfig to use for connecting to the\nKubernetes API server. It is only needed for manipulating\nNodeFeature objects, and thus the flag\nonly takes effect when\n-enable-nodefeature-api) is specified. An empty\nvalue (which is also the default) implies in-cluster kubeconfig.

\n\n

Default: empty

\n\n

Example:

\n\n
nfd-worker -kubeconfig ${HOME}/.kube/config\n
\n\n

-server-name-override

\n\n

The -server-name-override flag specifies the common name (CN) which to\nexpect from the nfd-master TLS certificate. This flag is mostly intended for\ndevelopment and debugging purposes.

\n\n

Default: empty

\n\n

Example:

\n\n
nfd-worker -server-name-override=localhost\n
\n\n

-feature-sources

\n\n

The -feature-sources flag specifies a comma-separated list of enabled feature\nsources. A special value all enables all sources. Prefixing a source name\nwith - indicates that the source will be disabled instead - this is only\nmeaningful when used in conjunction with all. This command line flag allows\ncompletely disabling the feature detection so that neither standard feature\nlabels are generated nor the raw feature data is available for custom rule\nprocessing. Consider using the core.featureSources config file option,\ninstead, allowing dynamic configurability.

\n\n

Note: This flag takes precedence over the core.featureSources configuration\nfile option.

\n\n

Default: all

\n\n

Example:

\n\n
nfd-worker -feature-sources=all,-pci\n
\n\n

-label-sources

\n\n

The -label-sources flag specifies a comma-separated list of enabled label\nsources. A special value all enables all sources. Prefixing a source name\nwith - indicates that the source will be disabled instead - this is only\nmeaningful when used in conjunction with all. Consider using the\ncore.labelSources config file option, instead, allowing dynamic\nconfigurability.

\n\n

Note: This flag takes precedence over the core.labelSources configuration\nfile option.

\n\n

Default: all

\n\n

Example:

\n\n
nfd-worker -label-sources=kernel,system,local\n
\n\n

-enable-nodefeature-api

\n\n

The -enable-nodefeature-api flag enables the experimental\nNodeFeature CRD API\nfor communicating with nfd-master. This will also automatically disable the\ngRPC communication to nfd-master. When enabled, nfd-worker will create per-node\nNodeFeature objects the contain all discovered node features and the set of\nfeature labels to be created.

\n\n

Default: false

\n\n

Example:

\n\n
nfd-worker -enable-nodefeature-api\n
\n\n

-no-publish

\n\n

The -no-publish flag disables all communication with the nfd-master and the\nKubernetes API server. It is effectively a “dry-run” flag for nfd-worker.\nNFD-Worker runs feature detection normally, but no labeling requests are sent\nto nfd-master and no NodeFeature objects are created or updated in the API\nserver.

\n\n

Note: This flag takes precedence over the\ncore.noPublish\nconfiguration file option.

\n\n

Default: false

\n\n

Example:

\n\n
nfd-worker -no-publish\n
\n\n

-oneshot

\n\n

The -oneshot flag causes nfd-worker to exit after one pass of feature\ndetection.

\n\n

Default: false

\n\n

Example:

\n\n
nfd-worker -oneshot -no-publish\n
\n\n

Logging

\n\n

The following logging-related flags are inherited from the\nklog package.

\n\n

Note: The logger setup can also be specified via the core.klog configuration\nfile options. However, the command line flags take precedence over any\ncorresponding config file options specified.

\n\n

-add_dir_header

\n\n

If true, adds the file directory to the header of the log messages.

\n\n

Default: false

\n\n

-alsologtostderr

\n\n

Log to standard error as well as files.

\n\n

Default: false

\n\n

-log_backtrace_at

\n\n

When logging hits line file:N, emit a stack trace.

\n\n

Default: empty

\n\n

-log_dir

\n\n

If non-empty, write log files in this directory.

\n\n

Default: empty

\n\n

-log_file

\n\n

If non-empty, use this log file.

\n\n

Default: empty

\n\n

-log_file_max_size

\n\n

Defines the maximum size a log file can grow to. Unit is megabytes. If the\nvalue is 0, the maximum file size is unlimited.

\n\n

Default: 1800

\n\n

-logtostderr

\n\n

Log to standard error instead of files

\n\n

Default: true

\n\n

-skip_headers

\n\n

If true, avoid header prefixes in the log messages.

\n\n

Default: false

\n\n

-skip_log_headers

\n\n

If true, avoid headers when opening log files.

\n\n

Default: false

\n\n

-stderrthreshold

\n\n

Logs at or above this threshold go to stderr.

\n\n

Default: 2

\n\n

-v

\n\n

Number for the log level verbosity.

\n\n

Default: 0

\n\n

-vmodule

\n\n

Comma-separated list of pattern=N settings for file-filtered logging.

\n\n

Default: empty

\n","dir":"/reference/","name":"worker-commandline-reference.md","path":"reference/worker-commandline-reference.md","url":"/reference/worker-commandline-reference.html"},{"title":"Kustomize","layout":"default","sort":2,"content":"

Deploymenet with Kustomize

\n\n

Table of contents

\n\n
    \n
  1. Overlays
      \n
    1. Master-worker pod
    2. \n
    3. Worker one-shot
    4. \n
    5. Master Worker Topologyupdater
    6. \n
    7. Topologyupdater
    8. \n
    \n
  2. \n
  3. Uninstallation
  4. \n
\n\n
\n\n

Kustomize provides easy\ndeployment of NFD. Customization of the deployment is done by maintaining\ndeclarative overlays on top of the base overlays in NFD.

\n\n

To follow the deployment instructions here,\nkubectl v1.21 or\nlater is required.

\n\n

The kustomize overlays provided in the repo can be used directly:

\n\n
kubectl apply -k https://github.com/kubernetes-sigs/node-feature-discovery/deployment/overlays/default?ref=v0.13.6\n
\n\n

This will required RBAC rules and deploy nfd-master (as a deployment) and\nnfd-worker (as daemonset) in the node-feature-discovery namespace.

\n\n

NOTE: nfd-topology-updater is not deployed as part of the default overlay.\nPlease refer to the Master Worker Topologyupdater\nand Topologyupdater below.

\n\n

Alternatively you can clone the repository and customize the deployment by\ncreating your own overlays. For example, to deploy the\nminimal image. See kustomize for more\ninformation about managing deployment configurations.

\n\n

Overlays

\n\n

The NFD repository hosts a set of overlays for different usages and deployment\nscenarios under\ndeployment/overlays

\n\n\n\n

Master-worker pod

\n\n

You can also run nfd-master and nfd-worker inside the same pod

\n\n
kubectl apply -k https://github.com/kubernetes-sigs/node-feature-discovery/deployment/overlays/default-combined?ref=v0.13.6\n\n
\n\n

This creates a DaemonSet that runs nfd-worker and nfd-master in the same Pod.\nIn this case no nfd-master is run on the master node(s), but, the worker nodes\nare able to label themselves which may be desirable e.g. in single-node setups.

\n\n

NOTE: nfd-topology-updater is not deployed by the default-combined overlay.\nTo enable nfd-topology-updater in this scenario,the users must customize the\ndeployment themselves.

\n\n

Worker one-shot

\n\n

Feature discovery can alternatively be configured as a one-shot job.\nThe default-job overlay may be used to achieve this:

\n\n
NUM_NODES=$(kubectl get no -o jsonpath='{.items[*].metadata.name}' | wc -w)\nkubectl kustomize https://github.com/kubernetes-sigs/node-feature-discovery/deployment/overlays/default-job?ref=v0.13.6 | \\\n    sed s\"/NUM_NODES/$NUM_NODES/\" | \\\n    kubectl apply -f -\n
\n\n

The example above launches as many jobs as there are non-master nodes. Note that\nthis approach does not guarantee running once on every node. For example,\ntainted, non-ready nodes or some other reasons in Job scheduling may cause some\nnode(s) will run extra job instance(s) to satisfy the request.

\n\n

Master Worker Topologyupdater

\n\n

NFD-Master, nfd-worker and nfd-topology-updater can be configured to be\ndeployed as separate pods. The master-worker-topologyupdater overlay may be\nused to achieve this:

\n\n
kubectl apply -k https://github.com/kubernetes-sigs/node-feature-discovery/deployment/overlays/master-worker-topologyupdater?ref=v0.13.6\n\n
\n\n

Topologyupdater

\n\n

In order to deploy just nfd-topology-updater (without nfd-master and nfd-worker)\nuse the topologyupdater overlay:

\n\n
kubectl apply -k https://github.com/kubernetes-sigs/node-feature-discovery/deployment/overlays/topologyupdater?ref=v0.13.6\n\n
\n\n

NFD-Topology-Updater can be configured along with the default overlay\n(which deploys nfd-worker and nfd-master) where all the software components\nare deployed as separate pods;

\n\n
\nkubectl apply -k https://github.com/kubernetes-sigs/node-feature-discovery/deployment/overlays/default?ref=v0.13.6\nkubectl apply -k https://github.com/kubernetes-sigs/node-feature-discovery/deployment/overlays/topologyupdater?ref=v0.13.6\n\n
\n\n

Uninstallation

\n\n

Simplest way is to invoke kubectl delete on the overlay that was used for\ndeployment. Beware that this will also delete the namespace that NFD is\nrunning in. For example, in case the default overlay from the repo was used:

\n\n
kubectl delete -k https://github.com/kubernetes-sigs/node-feature-discovery/deployment/overlays/default?ref=v0.13.6\n
\n\n

Alternatively you can delete create objects one-by-one, depending on the type\nof deployment, for example:

\n\n
NFD_NS=node-feature-discovery\nkubectl -n $NFD_NS delete ds nfd-worker\nkubectl -n $NFD_NS delete deploy nfd-master\nkubectl -n $NFD_NS delete svc nfd-master\nkubectl -n $NFD_NS delete sa nfd-master\nkubectl delete clusterrole nfd-master\nkubectl delete clusterrolebinding nfd-master\n
\n\n\n","dir":"/deployment/","name":"kustomize.md","path":"deployment/kustomize.md","url":"/deployment/kustomize.html"},{"title":"Deployment","layout":"default","sort":2,"content":"

Deployment

\n\n

See Image variants for description of the different NFD\ncontainer images available.

\n\n

Using Kustomize provides straightforward deployment with\nkubectl integration and declarative customization.

\n\n

Using Helm provides easy management of NFD deployments with nice\nconfiguration management and easy upgrades.

\n\n

Using Operator provides deployment and configuration management via\nCRDs.

\n","dir":"/deployment/","name":"index.md","path":"deployment/index.md","url":"/deployment/"},{"title":"Quick start","layout":"default","sort":2,"content":"

Quick start

\n\n

Minimal steps to deploy latest released version of NFD in your cluster.

\n\n

Installation

\n\n

Deploy with kustomize – creates a new namespace, service and required RBAC\nrules and deploys nfd-master and nfd-worker daemons.

\n\n
kubectl apply -k https://github.com/kubernetes-sigs/node-feature-discovery/deployment/overlays/default?ref=v0.13.6\n
\n\n

Verify

\n\n

Wait until NFD master and NFD worker are running.

\n\n
$ kubectl -n node-feature-discovery get ds,deploy\nNAME                         DESIRED   CURRENT   READY   UP-TO-DATE   AVAILABLE   NODE SELECTOR   AGE\ndaemonset.apps/nfd-worker    2         2         2       2            2           <none>          10s\n\nNAME                         READY   UP-TO-DATE   AVAILABLE   AGE\ndeployment.apps/nfd-master   1/1     1            1           17s\n\n
\n\n

Check that NFD feature labels have been created

\n\n
$ kubectl get no -o json | jq .items[].metadata.labels\n{\n  \"kubernetes.io/arch\": \"amd64\",\n  \"kubernetes.io/os\": \"linux\",\n  \"feature.node.kubernetes.io/cpu-cpuid.ADX\": \"true\",\n  \"feature.node.kubernetes.io/cpu-cpuid.AESNI\": \"true\",\n  \"feature.node.kubernetes.io/cpu-cpuid.AVX\": \"true\",\n...\n
\n\n

Use node labels

\n\n

Create a pod targeting a distinguishing feature (select a valid feature from\nthe list printed on the previous step)

\n\n
$ cat << EOF | kubectl apply -f -\napiVersion: v1\nkind: Pod\nmetadata:\n  name: feature-dependent-pod\nspec:\n  containers:\n  - image: registry.k8s.io/pause\n    name: pause\n  nodeSelector:\n    # Select a valid feature\n    feature.node.kubernetes.io/cpu-cpuid.AESNI: 'true'\nEOF\npod/feature-dependent-pod created\n
\n\n

See that the pod is running on a desired node

\n\n
$ kubectl get po feature-dependent-pod -o wide\nNAME                    READY   STATUS    RESTARTS   AGE   IP          NODE     NOMINATED NODE   READINESS GATES\nfeature-dependent-pod   1/1     Running   0          23s   10.36.0.4   node-2   <none>           <none>\n
\n\n

Additional Optional Installation Steps

\n\n

Deploy nfd-topology-updater

\n\n

In order to deploy nfd-topology-updater use the topologyupdater kustomize\noverlay.

\n\n
kubectl apply -k https://github.com/kubernetes-sigs/node-feature-discovery/deployment/overlays/topologyupdater?ref=v0.13.6\n
\n\n

Verify nfd-topology-updater

\n\n

Wait until nfd-topology-updater is running.

\n\n
$ kubectl -n node-feature-discovery get ds\nNAME                                  DESIRED   CURRENT   READY   UP-TO-DATE   AVAILABLE   NODE SELECTOR   AGE\ndaemonset.apps/nfd-topology-updater   2         2         2       2            2           <none>          5s\n\n
\n\n

Check that the NodeResourceTopology objects are created

\n\n
$ kubectl get noderesourcetopologies.topology.node.k8s.io\nNAME                 AGE\nkind-control-plane   23s\nkind-worker          23s\n
\n","dir":"/get-started/","name":"quick-start.md","path":"get-started/quick-start.md","url":"/get-started/quick-start.html"},{"title":"Usage","layout":"default","sort":3,"content":"

Usage

\n\n

Usage instructions.

\n","dir":"/usage/","name":"index.md","path":"usage/index.md","url":"/usage/"},{"title":"NFD-Master","layout":"default","sort":3,"content":"

NFD-Master

\n\n
\n\n

NFD-Master is responsible for connecting to the Kubernetes API server and\nupdating node objects. More specifically, it modifies node labels, taints and\nextended resources based on requests from nfd-workers and 3rd party extensions.

\n\n

NodeFeature controller

\n\n

EXPERIMENTAL\nController for NodeFeature\nobjects can be enabled with the\n-enable-nodefeature-api\ncommand line flag. When enabled, features from NodeFeature objects are used as\nthe input for the NodeFeatureRule\nprocessing pipeline. In addition, any labels listed in the NodeFeature object\nare created on the node (note the allowed\nlabel namespaces are controlled).

\n\n
\n

NOTE: NodeFeature API must also be enabled in nfd-worker with\nits -enable-nodefeature-api\nflag.

\n
\n\n

NodeFeatureRule controller

\n\n

NFD-Master acts as the controller for\nNodeFeatureRule objects.\nIt applies the rules specified in NodeFeatureRule objects on raw feature data\nand creates node labels accordingly. The feature data used as the input can be\nreceived from nfd-worker instances through the gRPC interface or from\nNodeFeature objects. The latter\nrequires that the NodeFeaure controller has been\nenabled.

\n\n
\n

NOTE: when gRPC is used for communicating the features (the default\nmechanism), (re-)labelling only happens when a request is received from\nnfd-worker. That is, in practice rules are evaluated and labels for each node\nare created on intervals specified by the\ncore.sleepInterval\nconfiguration option of nfd-worker instances. This means that modification or\ncreation of NodeFeatureRule objects does not instantly cause the node\nlabels to be updated. Instead, the changes only come visible in node labels\nas nfd-worker instances send their labelling requests. This limitation is not\npresent when gRPC interface is disabled\nand NodeFeature API is used.

\n
\n\n

Master configuration

\n\n

NFD-Master supports dynamic configuration through a configuration file. The\ndefault location is /etc/kubernetes/node-feature-discovery/nfd-master.conf,\nbut, this can be changed by specifying the-config command line flag.\nConfiguration file is re-read whenever it is modified which makes run-time\nre-configuration of nfd-master straightforward.

\n\n

Master configuration file is read inside the container, and thus, Volumes and\nVolumeMounts are needed to make your configuration available for NFD. The\npreferred method is to use a ConfigMap which provides easy deployment and\nre-configurability.

\n\n

The provided nfd-master deployment templates create an empty configmap and\nmount it inside the nfd-master containers. In kustomize deployments,\nconfiguration can be edited with:

\n\n
kubectl -n ${NFD_NS} edit configmap nfd-master-conf\n
\n\n

In Helm deployments,\nMaster pod parameter\nmaster.config can be used to edit the respective configuration.

\n\n

See\nnfd-master configuration file reference\nfor more details.\nThe (empty-by-default)\nexample config\ncontains all available configuration options and can be used as a reference\nfor creating a configuration.

\n\n

Deployment notes

\n\n

NFD-Master runs as a deployment, by default\nit prefers running on the cluster’s master nodes but will run on worker\nnodes if no master nodes are found.

\n\n

For High Availability, you should simply increase the replica count of\nthe deployment object. You should also look into adding\ninter-pod\naffinity to prevent masters from running on the same node.\nHowever note that inter-pod affinity is costly and is not recommended\nin bigger clusters.

\n\n
\n

NOTE: If the NodeFeature controller is enabled the\nreplica count should be 1.

\n
\n\n

If you have RBAC authorization enabled (as is the default e.g. with clusters\ninitialized with kubeadm) you need to configure the appropriate ClusterRoles,\nClusterRoleBindings and a ServiceAccount in order for NFD to create node\nlabels. The provided template will configure these for you.

\n","dir":"/usage/","name":"nfd-master.md","path":"usage/nfd-master.md","url":"/usage/nfd-master.html"},{"title":"Master config reference","layout":"default","sort":3,"content":"

Configuration file reference of nfd-master

\n\n

Table of contents

\n\n
    \n
  1. noPublish
  2. \n
  3. extraLabelNs
  4. \n
  5. denyLabelNs
  6. \n
  7. resourceLabels
  8. \n
  9. enableTaints
  10. \n
  11. labelWhiteList
  12. \n
\n\n
\n\n

See the\nsample configuration file\nfor a full example configuration.

\n\n

noPublish

\n\n

noPublish option disables updates to the Node objects in the Kubernetes\nAPI server, making a “dry-run” flag for nfd-master. No Labels, Annotations, Taints\nor ExtendedResources of nodes are updated.

\n\n

Default: false

\n\n

Example:

\n\n
noPublish: true\n
\n\n

extraLabelNs

\n

extraLabelNs specifies a list of allowed feature\nlabel namespaces. This option can be used to allow\nother vendor or application specific namespaces for custom labels from the\nlocal and custom feature sources, even though these labels were denied using\nthe denyLabelNs parameter.

\n\n

The same namespace control and this option applies to Extended Resources (created\nwith resourceLabels), too.

\n\n

Default: empty

\n\n

Example:

\n\n
extraLabelNs: [\"added.ns.io\",\"added.kubernets.io\"]\n
\n\n

denyLabelNs

\n

denyLabelNs specifies a list of excluded\nlabel namespaces. By default, nfd-master allows creating labels in all\nnamespaces, excluding kubernetes.io namespace and its sub-namespaces\n(i.e. *.kubernetes.io). However, you should note that\nkubernetes.io and its sub-namespaces are always denied.\nThis option can be used to exclude some vendors or application specific\nnamespaces.\nNote that the namespaces feature.node.kubernetes.io and profile.node.kubernetes.io\nand their sub-namespaces are always allowed and cannot be denied.

\n\n

Default: empty

\n\n

Example:

\n\n
denyLabelNs: [\"denied.ns.io\",\"denied.kubernetes.io\"]\n
\n\n

resourceLabels

\n\n

DEPRECATED: NodeFeatureRule\nshould be used for managing extended resources in NFD.

\n\n

The resourceLabels option specifies a list of features to be\nadvertised as extended resources instead of labels. Features that have integer\nvalues can be published as Extended Resources by listing them in this option.

\n\n

Default: empty

\n\n

Example:

\n\n
resourceLabels: [\"vendor-1.com/feature-1\",\"vendor-2.io/feature-2\"]\n
\n\n

enableTaints

\n

enableTaints enables/disables node tainting feature of NFD.

\n\n

Default: false

\n\n

Example:

\n\n
enableTaints: true\n
\n\n

labelWhiteList

\n

labelWhiteList specifies a regular expression for filtering feature\nlabels based on their name. Each label must match against the given reqular\nexpression in order to be published.

\n\n

Note: The regular expression is only matches against the “basename” part of the\nlabel, i.e. to the part of the name after ‘/’. The label namespace is omitted.

\n\n

Default: empty

\n\n

Example:

\n\n
labelWhiteList: \"foo\"\n
\n","dir":"/reference/","name":"master-configuration-reference.md","path":"reference/master-configuration-reference.md","url":"/reference/master-configuration-reference.html"},{"title":"Helm","layout":"default","sort":3,"content":"

Deployment with Helm

\n\n

Table of contents

\n\n
    \n
  1. Prerequisites
  2. \n
  3. Deployment
  4. \n
  5. Configuration
  6. \n
  7. Uninstalling the chart
  8. \n
  9. Chart parameters
      \n
    1. General parameters
    2. \n
    3. Master pod parameters
    4. \n
    5. Worker pod parameters
    6. \n
    7. Topology updater parameters
    8. \n
    9. Topology garbage collector parameters
    10. \n
    \n
  10. \n
\n\n
\n\n

Node Feature Discovery Helm chart allow to easily deploy and manage NFD.

\n\n
\n

NOTE: NFD is not ideal for other Helm charts to depend on as that may result\nin multiple parallel NFD deployments in the same cluster which is not fully\nsupported by the NFD Helm chart.

\n
\n\n

Prerequisites

\n\n

Helm package manager should be installed.

\n\n

Deployment

\n\n

To install the latest stable version:

\n\n
export NFD_NS=node-feature-discovery\nhelm repo add nfd https://kubernetes-sigs.github.io/node-feature-discovery/charts\nhelm repo update\nhelm install nfd/node-feature-discovery --namespace $NFD_NS --create-namespace --generate-name\n
\n\n

To install the latest development version you need to clone the NFD Git\nrepository and install from there.

\n\n
git clone https://github.com/kubernetes-sigs/node-feature-discovery/\ncd node-feature-discovery/deployment/helm\nexport NFD_NS=node-feature-discovery\nhelm install node-feature-discovery ./node-feature-discovery/ --namespace $NFD_NS --create-namespace\n
\n\n

See the configuration section below for instructions how to\nalter the deployment parameters.

\n\n

In order to deploy the minimal image you need to\noverride the image tag:

\n\n
helm install node-feature-discovery ./node-feature-discovery/ --set image.tag=v0.13.6-minimal --namespace $NFD_NS --create-namespace\n
\n\n

Configuration

\n\n

You can override values from values.yaml and provide a file with custom values:

\n\n
export NFD_NS=node-feature-discovery\nhelm install nfd/node-feature-discovery -f <path/to/custom/values.yaml> --namespace $NFD_NS --create-namespace\n
\n\n

To specify each parameter separately you can provide them to helm install command:

\n\n
export NFD_NS=node-feature-discovery\nhelm install nfd/node-feature-discovery --set nameOverride=NFDinstance --set master.replicaCount=2 --namespace $NFD_NS --create-namespace\n
\n\n

Uninstalling the chart

\n\n

To uninstall the node-feature-discovery deployment:

\n\n
export NFD_NS=node-feature-discovery\nhelm uninstall node-feature-discovery --namespace $NFD_NS\n
\n\n

The command removes all the Kubernetes components associated with the chart and\ndeletes the release.

\n\n

Chart parameters

\n\n

In order to tailor the deployment of the Node Feature Discovery to your cluster needs\nWe have introduced the following Chart parameters.

\n\n

General parameters

\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
NameTypeDefaultdescription
image.repositorystringregistry.k8s.io/nfd/node-feature-discoveryNFD image repository
image.tagstringv0.13.6NFD image tag
image.pullPolicystringAlwaysImage 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
tls.enableboolfalseSpecifies whether to use TLS for communications between components
tls.certManagerboolfalseIf enabled, requires cert-manager to be installed and will automatically create the required TLS certificates
enableNodeFeatureApiboolfalseEnable the NodeFeature CRD API for communicating node features. This will automatically disable the gRPC communication.
\n\n

Master pod parameters

\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
NameTypeDefaultdescription
master.*dict NFD master deployment configuration
master.portinteger Specifies the TCP port that nfd-master listens for incoming requests.
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.enableTaintsboolfalseSpecifies whether to enable or disable node tainting
master.crdControllerboolnullSpecifies whether the NFD CRD API controller is enabled. If not set, controller will be enabled if master.instance is empty.
master.featureRulesControllerboolnullDEPRECATED: use master.crdController instead
master.replicaCountinteger1Number 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.createbooltrueSpecifies 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.createbooltrueSpecifies whether to create RBAC configuration for nfd-master
master.service.typestringClusterIPNFD master service type
master.service.portinteger8080NFD master service port
master.resourcesdict{}NFD master pod resources management
master.nodeSelectordict{}NFD master pod node selector
master.tolerationsdictScheduling to master node is disabledNFD master pod tolerations
master.annotationsdict{}NFD master pod annotations
master.affinitydict NFD master pod required node affinity
master.deploymentAnnotationsdict{}NFD master deployment annotations
master.configdict NFD master configuration
\n\n

Worker pod parameters

\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
NameTypeDefaultdescription
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.serviceAccount.createbooltrueSpecifies whether a service account for nfd-worker should be created
worker.serviceAccount.annotationsdict{}Annotations to add to the service account for nfd-worker
worker.serviceAccount.namestring The name of the service account to use for nfd-worker. If not set and create is true, a name is generated using the fullname template (suffixed with -worker)
worker.rbac.createbooltrueSpecifies whether to create RBAC configuration for nfd-worker
worker.mountUsrSrcboolfalseSpecifies 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
\n\n

Topology updater parameters

\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
NameTypeDefaultdescription
topologyUpdater.*dict NFD Topology Updater configuration
topologyUpdater.enableboolfalseSpecifies whether the NFD Topology Updater should be created
topologyUpdater.createCRDsboolfalseSpecifies whether the NFD Topology Updater CRDs should be created
topologyUpdater.serviceAccount.createbooltrueSpecifies 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.rbac.createbooltrueSpecifies whether to create RBAC configuration for topology updater
topologyUpdater.kubeletConfigPathstring””Specifies the kubelet config host path
topologyUpdater.kubeletPodResourcesSockPathstring””Specifies the kubelet sock path to read pod resources
topologyUpdater.updateIntervalstring60sTime 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
topologyUpdater.podSetFingerprintboolfalseEnables compute and report of pod fingerprint in NRT objects.
topologyUpdater.kubeletStateDirstring/var/lib/kubeletSpecifies kubelet state directory path for watching state and checkpoint files. Empty value disables kubelet state tracking.
\n\n

Topology garbage collector parameters

\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
NameTypeDefaultdescription
topologyGC.*dict NFD Topology Garbage Collector configuration
topologyGC.enablebooltrueSpecifies whether the NFD Topology Garbage Collector should be created
topologyGC.serviceAccount.createbooltrueSpecifies whether the service account for topology garbage collector should be created
topologyGC.serviceAccount.annotationsdict{}Annotations to add to the service account for topology garbage collector
topologyGC.serviceAccount.namestring The name of the service account for topology garbage collector to use. If not set and create is true, a name is generated using the fullname template and -topology-gc suffix
topologyGC.rbac.createbooltrueSpecifies whether to create RBAC configuration for topology garbage collector
topologyGC.intervalstring1hTime between periodic garbage collector runs
topologyGC.podSecurityContextdict{}PodSecurityContext holds pod-level security attributes and common container settings
topologyGC.securityContextdict{}Container security settings
topologyGC.resourcesdict{}Topology garbage collector pod resources management
topologyGC.nodeSelectordict{}Topology garbage collector pod node selector
topologyGC.tolerationsdict{}Topology garbage collector pod node tolerations
topologyGC.annotationsdict{}Topology garbage collector pod annotations
topologyGC.affinitydict{}Topology garbage collector pod affinity
\n\n\n","dir":"/deployment/","name":"helm.md","path":"deployment/helm.md","url":"/deployment/helm.html"},{"title":"Reference","layout":"default","sort":4,"content":"

Reference

\n\n

Command line and configuration reference.

\n","dir":"/reference/","name":"index.md","path":"reference/index.md","url":"/reference/"},{"title":"Worker config reference","layout":"default","sort":4,"content":"

Configuration file reference of nfd-worker

\n\n

Table of contents

\n\n
    \n
  1. core
      \n
    1. core.sleepInterval
    2. \n
    3. core.featureSources
    4. \n
    5. core.labelSources
    6. \n
    7. core.sources
    8. \n
    9. core.labelWhiteList
    10. \n
    11. core.noPublish
    12. \n
    13. core.klog
    14. \n
    \n
  2. \n
  3. sources
      \n
    1. sources.cpu
    2. \n
    3. sources.kernel
    4. \n
    5. sources.local
    6. \n
    7. sources.local.hooksEnabled
    8. \n
    9. sources.pci
    10. \n
    11. sources.usb
    12. \n
    13. sources.custom
    14. \n
    \n
  4. \n
\n\n
\n\n

See the\nsample configuration file\nfor a full example configuration.

\n\n

core

\n\n

The core section contains common configuration settings that are not specific\nto any particular feature source.

\n\n

core.sleepInterval

\n\n

core.sleepInterval specifies the interval between consecutive passes of\nfeature (re-)detection, and thus also the interval between node re-labeling. A\nnon-positive value implies infinite sleep interval, i.e. no re-detection or\nre-labeling is done.

\n\n

Default: 60s

\n\n

Example:

\n\n
core:\n  sleepInterval: 60s\n
\n\n

core.featureSources

\n\n

core.featureSources specifies the list of enabled feature sources. A special\nvalue all enables all sources. Prefixing a source name with - indicates\nthat the source will be disabled instead - this is only meaningful when used in\nconjunction with all. This option allows completely disabling the feature\ndetection so that neither standard feature labels are generated nor the raw\nfeature data is available for custom rule processing.

\n\n

Default: [all]

\n\n

Example:

\n\n
core:\n  # Enable all but cpu and local sources\n  featureSources:\n    - \"all\"\n    - \"-cpu\"\n    - \"-local\"\n
\n\n
core:\n  # Enable only cpu and local sources\n  featureSources:\n    - \"cpu\"\n    - \"local\"\n
\n\n

core.labelSources

\n\n

core.labelSources specifies the list of enabled label sources. A special\nvalue all enables all sources. Prefixing a source name with - indicates\nthat the source will be disabled instead - this is only meaningful when used in\nconjunction with all. This configuration option affects the generation of\nnode labels but not the actual discovery of the underlying feature data that is\nused e.g. in custom/NodeFeatureRule rules.

\n\n

Note: Overridden by the -label-sources command line flag and\nthe core.sources configurations option (if either of them is specified).

\n\n

Default: [all]

\n\n

Example:

\n\n
core:\n  # Enable all but cpu and system sources\n  labelSources:\n    - \"all\"\n    - \"-cpu\"\n    - \"-system\"\n
\n\n
core:\n  # Enable only cpu and system sources\n  labelSources:\n    - \"cpu\"\n    - \"system\"\n
\n\n

core.sources

\n\n

DEPRECATED: use core.labelSources instead.

\n\n

Note: core.sources takes precedence over the core.labelSources\nconfiguration file option.

\n\n

core.labelWhiteList

\n\n

core.labelWhiteList specifies a regular expression for filtering feature\nlabels based on the label name. Non-matching labels are not published.

\n\n

Note: The regular expression is only matches against the “basename” part of the\nlabel, i.e. to the part of the name after ‘/’. The label prefix (or namespace)\nis omitted.

\n\n

Default: null

\n\n

Example:

\n\n
core:\n  labelWhiteList: '^cpu-cpuid'\n
\n\n

core.noPublish

\n\n

Setting core.noPublish to true disables all communication with the\nnfd-master and the Kubernetes API server. It is effectively a “dry-run” option.\nNFD-Worker runs feature detection normally, but no labeling requests are sent\nto nfd-master and no NodeFeature\nobjects are created or updated in the API server.

\n\n

Note: Overridden by the\n-no-publish command line flag (if\nspecified).

\n\n

Default: false

\n\n

Example:

\n\n
core:\n  noPublish: true\n
\n\n

core.klog

\n\n

The following options specify the logger configuration. Most of which can be\ndynamically adjusted at run-time.

\n\n

Note: The logger options can also be specified via command line flags which\ntake precedence over any corresponding config file options.

\n\n

core.klog.addDirHeader

\n\n

If true, adds the file directory to the header of the log messages.

\n\n

Default: false

\n\n

Run-time configurable: yes

\n\n

core.klog.alsologtostderr

\n\n

Log to standard error as well as files.

\n\n

Default: false

\n\n

Run-time configurable: yes

\n\n

core.klog.logBacktraceAt

\n\n

When logging hits line file:N, emit a stack trace.

\n\n

Default: empty

\n\n

Run-time configurable: yes

\n\n

core.klog.logDir

\n\n

If non-empty, write log files in this directory.

\n\n

Default: empty

\n\n

Run-time configurable: no

\n\n

core.klog.logFile

\n\n

If non-empty, use this log file.

\n\n

Default: empty

\n\n

Run-time configurable: no

\n\n

core.klog.logFileMaxSize

\n\n

Defines the maximum size a log file can grow to. Unit is megabytes. If the\nvalue is 0, the maximum file size is unlimited.

\n\n

Default: 1800

\n\n

Run-time configurable: no

\n\n

core.klog.logtostderr

\n\n

Log to standard error instead of files

\n\n

Default: true

\n\n

Run-time configurable: yes

\n\n

core.klog.skipHeaders

\n\n

If true, avoid header prefixes in the log messages.

\n\n

Default: false

\n\n

Run-time configurable: yes

\n\n

core.klog.skipLogHeaders

\n\n

If true, avoid headers when opening log files.

\n\n

Default: false

\n\n

Run-time configurable: no

\n\n

core.klog.stderrthreshold

\n\n

Logs at or above this threshold go to stderr (default 2)

\n\n

Run-time configurable: yes

\n\n

core.klog.v

\n\n

Number for the log level verbosity.

\n\n

Default: 0

\n\n

Run-time configurable: yes

\n\n

core.klog.vmodule

\n\n

Comma-separated list of pattern=N settings for file-filtered logging.

\n\n

Default: empty

\n\n

Run-time configurable: yes

\n\n

sources

\n\n

The sources section contains feature source specific configuration parameters.

\n\n

sources.cpu

\n\n

sources.cpu.cpuid

\n\n
sources.cpu.cpuid.attributeBlacklist
\n\n

Prevent publishing cpuid features listed in this option.

\n\n

Note: overridden by sources.cpu.cpuid.attributeWhitelist (if specified)

\n\n

Default: [BMI1, BMI2, CLMUL, CMOV, CX16, ERMS, F16C, HTT, LZCNT, MMX, MMXEXT,\nNX, POPCNT, RDRAND, RDSEED, RDTSCP, SGX, SGXLC, SSE, SSE2, SSE3, SSE4.1,\nSSE4.2, SSSE3]

\n\n

Example:

\n\n
sources:\n  cpu:\n    cpuid:\n      attributeBlacklist: [MMX, MMXEXT]\n
\n\n
sources.cpu.cpuid.attributeWhitelist
\n\n

Only publish the cpuid features listed in this option.

\n\n

Note: takes precedence over sources.cpu.cpuid.attributeBlacklist

\n\n

Default: empty

\n\n

Example:

\n\n
sources:\n  cpu:\n    cpuid:\n      attributeWhitelist: [AVX512BW, AVX512CD, AVX512DQ, AVX512F, AVX512VL]\n
\n\n

sources.kernel

\n\n

sources.kernel.kconfigFile

\n\n

Path of the kernel config file. If empty, NFD runs a search in the well-known\nstandard locations.

\n\n

Default: empty

\n\n

Example:

\n\n
sources:\n  kernel:\n    kconfigFile: \"/path/to/kconfig\"\n
\n\n

sources.kernel.configOpts

\n\n

Kernel configuration options to publish as feature labels.

\n\n

Default: [NO_HZ, NO_HZ_IDLE, NO_HZ_FULL, PREEMPT]

\n\n

Example:

\n\n
sources:\n  kernel:\n    configOpts: [NO_HZ, X86, DMI]\n
\n\n

sources.local

\n\n

sources.local.hooksEnabled

\n\n

Configuration option to disable/enable hooks execution. Enabled by default.\nHooks are DEPRECATED since v0.12.0 release and support will be removed in a\nfuture release. Use\nfeature files instead.

\n\n

Note: The default NFD container image only supports statically linked binaries.\nUse the full image variant for a\nslightly more extensive environment that additionally supports bash and perl\nruntimes.

\n\n

Related tracking issues:

\n\n
    \n
  1. Config option to disable hooks #859.
  2. \n
  3. Disable hook support by default #855.
  4. \n
  5. Drop support for hooks #856.
  6. \n
\n\n

Example:

\n\n
sources:\n  local:\n    hooksEnabled: true  # true by default\n
\n\n

sources.pci

\n\n

sources.pci.deviceClassWhitelist

\n\n

List of PCI device class IDs for which to\npublish a label. Can be specified as a main class only (e.g. 03) or full\nclass-subclass combination (e.g. 0300) - the former implies that all\nsubclasses are accepted. The format of the labels can be further configured\nwith deviceLabelFields.

\n\n

Default: [\"03\", \"0b40\", \"12\"]

\n\n

Example:

\n\n
sources:\n  pci:\n    deviceClassWhitelist: [\"0200\", \"03\"]\n
\n\n

sources.pci.deviceLabelFields

\n\n

The set of PCI ID fields to use when constructing the name of the feature\nlabel. Valid fields are class, vendor, device, subsystem_vendor and\nsubsystem_device.

\n\n

Default: [class, vendor]

\n\n

Example:

\n\n
sources:\n  pci:\n    deviceLabelFields: [class, vendor, device]\n
\n\n

With the example config above NFD would publish labels like:\nfeature.node.kubernetes.io/pci-<class-id>_<vendor-id>_<device-id>.present=true

\n\n

sources.usb

\n\n

sources.usb.deviceClassWhitelist

\n\n

List of USB device class IDs for\nwhich to publish a feature label. The format of the labels can be further\nconfigured with deviceLabelFields.

\n\n

Default: [\"0e\", \"ef\", \"fe\", \"ff\"]

\n\n

Example:

\n\n
sources:\n  usb:\n    deviceClassWhitelist: [\"ef\", \"ff\"]\n
\n\n

sources.usb.deviceLabelFields

\n\n

The set of USB ID fields from which to compose the name of the feature label.\nValid fields are class, vendor, device and serial.

\n\n

Default: [class, vendor, device]

\n\n

Example:

\n\n
sources:\n  pci:\n    deviceLabelFields: [class, vendor]\n
\n\n

With the example config above NFD would publish labels like:\nfeature.node.kubernetes.io/usb-<class-id>_<vendor-id>.present=true

\n\n

sources.custom

\n\n

List of rules to process in the custom feature source to create user-specific\nlabels. Refer to the documentation of the\ncustom feature source for\ndetails of the available rules and their configuration.

\n\n

Default: empty

\n\n

Example:

\n\n
sources:\n  custom:\n    - name: \"my custom rule\"\n      labels:\n        my-custom-feature: \"true\"\n      matchFeatures:\n        - feature: kernel.loadedmodule\n          matchExpressions:\n            e1000e: {op: Exists}\n        - feature: pci.device\n          matchExpressions:\n            class: {op: In, value: [\"0200\"]}\n            vendor: {op: In, value: [\"8086\"]}\n
\n","dir":"/reference/","name":"worker-configuration-reference.md","path":"reference/worker-configuration-reference.md","url":"/reference/worker-configuration-reference.html"},{"title":"NFD-Worker","layout":"default","sort":4,"content":"

NFD-Worker

\n\n

Table of contents

\n\n
    \n
  1. Worker configuration
  2. \n
\n\n
\n\n

NFD-Worker is preferably run as a Kubernetes DaemonSet. This assures\nre-labeling on regular intervals capturing changes in the system configuration\nand makes sure that new nodes are labeled as they are added to the cluster.\nWorker connects to the nfd-master service to advertise hardware features.

\n\n

When run as a daemonset, nodes are re-labeled at an default interval of 60s.\nThis can be changed by using the\ncore.sleepInterval\nconfig option.

\n\n

The worker configuration file is watched and re-read on every change which\nprovides a simple mechanism of dynamic run-time reconfiguration. See\nworker configuration for more details.

\n\n

Worker configuration

\n\n

NFD-Worker supports dynamic configuration through a configuration file. The\ndefault location is /etc/kubernetes/node-feature-discovery/nfd-worker.conf,\nbut, this can be changed by specifying the-config command line flag.\nConfiguration file is re-read whenever it is modified which makes run-time\nre-configuration of nfd-worker straightforward.

\n\n

Worker configuration file is read inside the container, and thus, Volumes and\nVolumeMounts are needed to make your configuration available for NFD. The\npreferred method is to use a ConfigMap which provides easy deployment and\nre-configurability.

\n\n

The provided nfd-worker deployment templates create an empty configmap and\nmount it inside the nfd-worker containers. In kustomize deployments,\nconfiguration can be edited with:

\n\n
kubectl -n ${NFD_NS} edit configmap nfd-worker-conf\n
\n\n

In Helm deployments,\nWorker pod parameter\nworker.config can be used to edit the respective configuration.

\n\n

See\nnfd-worker configuration file reference\nfor more details.\nThe (empty-by-default)\nexample config\ncontains all available configuration options and can be used as a reference\nfor creating a configuration.

\n\n

Configuration options can also be specified via the -options command line\nflag, in which case no mounts need to be used. The same format as in the config\nfile must be used, i.e. JSON (or YAML). For example:

\n\n
-options='{\"sources\": { \"pci\": { \"deviceClassWhitelist\": [\"12\"] } } }'\n
\n\n

Configuration options specified from the command line will override those read\nfrom the config file.

\n","dir":"/usage/","name":"nfd-worker.md","path":"usage/nfd-worker.md","url":"/usage/nfd-worker.html"},{"title":"NFD Operator","layout":"default","sort":4,"content":"

Deployment with NFD Operator

\n\n

Table of contents

\n\n
    \n
  1. Deployment
  2. \n
  3. Uninstallation
  4. \n
\n\n
\n\n

The Node Feature Discovery Operator automates installation,\nconfiguration and updates of NFD using a specific NodeFeatureDiscovery custom\nresource. This also provides good support for managing NFD as a dependency of\nother operators.

\n\n

Deployment

\n\n

Deployment using the\nNode Feature Discovery Operator\nis recommended to be done via\noperatorhub.io.

\n\n
    \n
  1. You need to have\nOLM\ninstalled. If you don’t, take a look at the\nlatest release\nfor detailed instructions.
  2. \n
  3. \n

    Install the operator:

    \n\n
    kubectl create -f https://operatorhub.io/install/nfd-operator.yaml\n
    \n
  4. \n
  5. \n

    Create NodeFeatureDiscovery object (in nfd namespace here):

    \n\n
    cat << EOF | kubectl apply -f -\napiVersion: v1\nkind: Namespace\nmetadata:\n  name: nfd\n---\napiVersion: nfd.kubernetes.io/v1\nkind: NodeFeatureDiscovery\nmetadata:\n  name: my-nfd-deployment\n  namespace: nfd\nspec:\n  operand:\n    image: registry.k8s.io/nfd/node-feature-discovery:v0.13.6\n    imagePullPolicy: IfNotPresent\nEOF\n
    \n
  6. \n
\n\n

In order to deploy the minimal image you need to use

\n\n
  image: registry.k8s.io/nfd/node-feature-discovery:v0.13.6-minimal\n
\n\n

in the NodeFeatureDiscovery object above.

\n\n

Uninstallation

\n\n

If you followed the deployment instructions above you can simply do:

\n\n
kubectl -n nfd delete NodeFeatureDiscovery my-nfd-deployment\n
\n\n

Optionally, you can also remove the namespace:

\n\n
kubectl delete ns nfd\n
\n\n

See the node-feature-discovery-operator and OLM project\ndocumentation for instructions for uninstalling the operator and operator\nlifecycle manager, respectively.

\n\n\n","dir":"/deployment/","name":"operator.md","path":"deployment/operator.md","url":"/deployment/operator.html"},{"title":"Topology Updater Cmdline Reference","layout":"default","sort":5,"content":"

NFD-Topology-Updater Commandline Flags

\n\n

Table of Contents

\n\n
    \n
  1. NFD-Topology-Updater Commandline Flags
      \n
    1. -h, -help
    2. \n
    3. -version
    4. \n
    5. -config
    6. \n
    7. -no-publish
    8. \n
    9. -oneshot
    10. \n
    11. -sleep-interval
    12. \n
    13. -watch-namespace
    14. \n
    15. -kubelet-config-uri
    16. \n
    17. -api-auth-token-file
    18. \n
    19. -podresources-socket
    20. \n
    21. -pods-fingerprint
    22. \n
    23. -kubelet-state-dir
    24. \n
    \n
  2. \n
\n\n
\n\n

To quickly view available command line flags execute nfd-topology-updater -help.\nIn a docker container:

\n\n
docker run registry.k8s.io/nfd/node-feature-discovery:v0.13.6 \\\nnfd-topology-updater -help\n
\n\n

-h, -help

\n\n

Print usage and exit.

\n\n

-version

\n\n

Print version and exit.

\n\n

-config

\n\n

The -config flag specifies the path of the nfd-topology-updater\nconfiguration file to use.

\n\n

Default: /etc/kubernetes/node-feature-discovery/nfd-topology-updater.conf

\n\n

Example:

\n\n
nfd-topology-updater -config=/opt/nfd/nfd-topology-updater.conf\n
\n\n

-no-publish

\n\n

The -no-publish flag disables all communication with the nfd-master, making\nit a “dry-run” flag for nfd-topology-updater. NFD-Topology-Updater runs\nresource hardware topology detection normally, but no CR requests are sent to\nnfd-master.

\n\n

Default: false

\n\n

Example:

\n\n
nfd-topology-updater -no-publish\n
\n\n

-oneshot

\n\n

The -oneshot flag causes nfd-topology-updater to exit after one pass of\nresource hardware topology detection.

\n\n

Default: false

\n\n

Example:

\n\n
nfd-topology-updater -oneshot -no-publish\n
\n\n

-sleep-interval

\n\n

The -sleep-interval specifies the interval between resource hardware\ntopology re-examination (and CR updates). zero means no CR updates on interval basis.

\n\n

Default: 60s

\n\n

Example:

\n\n
nfd-topology-updater -sleep-interval=1h\n
\n\n

-watch-namespace

\n\n

The -watch-namespace specifies the namespace to ensure that resource\nhardware topology examination only happens for the pods running in the\nspecified namespace. Pods that are not running in the specified namespace\nare not considered during resource accounting. This is particularly useful\nfor testing/debugging purpose. A “*” value would mean that all the pods would\nbe considered during the accounting process.

\n\n

Default: “*”

\n\n

Example:

\n\n
nfd-topology-updater -watch-namespace=rte\n
\n\n

-kubelet-config-uri

\n\n

The -kubelet-config-uri specifies the path to the Kubelet’s configuration.\nNote that the URi could either be a local host file or an HTTP endpoint.

\n\n

Default: https://${NODE_NAME}:10250/configz

\n\n

Example:

\n\n
nfd-topology-updater -kubelet-config-uri=file:///var/lib/kubelet/config.yaml\n
\n\n

-api-auth-token-file

\n\n

The -api-auth-token-file specifies the path to the api auth token file\nwhich is used to retrieve Kubelet’s configuration from Kubelet secure port,\nonly taking effect when -kubelet-config-uri is https.\nNote that this token file must bind to a role that has the get capability to\nnodes/proxy resources.

\n\n

Default: /var/run/secrets/kubernetes.io/serviceaccount/token

\n\n

Example:

\n\n
nfd-topology-updater -token-file=/var/run/secrets/kubernetes.io/serviceaccount/token\n
\n\n

-podresources-socket

\n\n

The -podresources-socket specifies the path to the Unix socket where kubelet\nexports a gRPC service to enable discovery of in-use CPUs and devices, and to\nprovide metadata for them.

\n\n

Default: /host-var/lib/kubelet/pod-resources/kubelet.sock

\n\n

Example:

\n\n
nfd-topology-updater -podresources-socket=/var/lib/kubelet/pod-resources/kubelet.sock\n
\n\n

-pods-fingerprint

\n\n

Enables compute and report the pod set fingerprint in the NRT.\nA pod fingerprint is a compact representation of the “node state” regarding resources.

\n\n

Default: false

\n\n

Example:

\n\n
nfd-topology-updater -pods-fingerprint\n
\n\n

-kubelet-state-dir

\n\n

The -kubelet-state-dir specifies the path to the Kubelet state directory,\nwhere state and checkpoint files are stored.\nThe files are mount as read-only and cannot be change by the updater.\nEnabled by default.\nPassing an empty string will disable the watching.

\n\n

Default: /host-var/lib/kubelet

\n\n

Example:

\n\n
nfd-topology-updater -kubelet-state-dir=/var/lib/kubelet\n
\n","dir":"/reference/","name":"topology-updater-commandline-reference.md","path":"reference/topology-updater-commandline-reference.md","url":"/reference/topology-updater-commandline-reference.html"},{"title":"TLS authentication","layout":"default","sort":5,"content":"

Communication security with TLS

\n\n

Table of contents

\n\n
    \n
  1. Automated TLS certificate management using cert-manager
  2. \n
  3. Manual TLS certificate management
  4. \n
\n\n
\n\n

NFD supports mutual TLS authentication between the nfd-master and nfd-worker\ninstances. That is, nfd-worker and nfd-master both verify that the other end\npresents a valid certificate.

\n\n

TLS authentication is enabled by specifying -ca-file, -key-file and\n-cert-file args, on both the nfd-master and nfd-worker instances. The\ntemplate specs provided with NFD contain (commented out) example configuration\nfor enabling TLS authentication.

\n\n

The Common Name (CN) of the nfd-master certificate must match the DNS name of\nthe nfd-master Service of the cluster. By default, nfd-master only check that\nthe nfd-worker has been signed by the specified root certificate (-ca-file).

\n\n

Additional hardening can be enabled by specifying -verify-node-name in\nnfd-master args, in which case nfd-master verifies that the NodeName presented\nby nfd-worker matches the Common Name (CN) or a Subject Alternative Name (SAN)\nof its certificate. Note that -verify-node-name complicates certificate\nmanagement and is not yet supported in the helm or kustomize deployment\nmethods.

\n\n

Automated TLS certificate management using cert-manager

\n\n

cert-manager can be used to automate certificate\nmanagement between nfd-master and the nfd-worker pods.

\n\n

The NFD source code repository contains an example kustomize overlay and helm\nchart that can be used to deploy NFD with cert-manager supplied certificates\nenabled.

\n\n

To install cert-manager itself can be done as easily as this, below, or you\ncan refer to their documentation for other installation methods such as the\nhelm chart they provide.

\n\n
kubectl apply -f https://github.com/jetstack/cert-manager/releases/download/v1.6.1/cert-manager.yaml\n
\n\n

To use the kustomize overlay to install node-feature-discovery with TLS enabled,\nyou may use the following:

\n\n
kubectl apply -k deployment/overlays/samples/cert-manager\n
\n\n

To make use of the helm chart, override values.yaml to enable both the\ntls.enabled and tls.certManager options. Note that if you do not enable\ntls.certManager, helm will successfully install the application, but\ndeployment will wait until certificates are manually created, as demonstrated\nbelow.

\n\n

See the sample installation commands in the Helm Deployment\nand Configuration sections above for how to either override\nindividual values, or provide a yaml file with which to override default\nvalues.

\n\n

Manual TLS certificate management

\n\n

If you do not with to make use of cert-manager, the certificates can be\nmanually created and stored as secrets within the NFD namespace.

\n\n

Create a CA certificate

\n\n
openssl req -x509 -newkey rsa:4096 -keyout ca.key -nodes \\\n        -subj \"/CN=nfd-ca\" -days 10000 -out ca.crt\n
\n\n

Create a common openssl config file.

\n\n
cat <<EOF > nfd-common.conf\n[ req ]\ndefault_bits = 4096\nprompt = no\ndefault_md = sha256\nreq_extensions = req_ext\ndistinguished_name = dn\n\n[ dn ]\nC = XX\nST = some-state\nL = some-city\nO = some-company\nOU = node-feature-discovery\n\n[ req_ext ]\nsubjectAltName = @alt_names\n\n[ v3_ext ]\nauthorityKeyIdentifier=keyid,issuer:always\nbasicConstraints=CA:FALSE\nkeyUsage=keyEncipherment,dataEncipherment\nextendedKeyUsage=serverAuth,clientAuth\nsubjectAltName=@alt_names\nEOF\n
\n\n

Now, create the nfd-master certificate.

\n\n
cat <<EOF > nfd-master.conf\n.include nfd-common.conf\n\n[ dn ]\nCN = nfd-master\n\n[ alt_names ]\nDNS.1 = nfd-master\nDNS.2 = nfd-master.node-feature-discovery.svc.cluster.local\nDNS.3 = localhost\nEOF\n\nopenssl req -new -newkey rsa:4096 -keyout nfd-master.key -nodes -out nfd-master.csr -config nfd-master.conf\n
\n\n

Create certificates for nfd-worker and nfd-topology-updater

\n\n
cat <<EOF > nfd-worker.conf\n.include nfd-common.conf\n\n[ dn ]\nCN = nfd-worker\n\n[ alt_names ]\nDNS.1 = nfd-worker\nDNS.2 = nfd-worker.node-feature-discovery.svc.cluster.local\nEOF\n\n# Config for topology updater is identical except for the DN and alt_names\nsed -e 's/worker/topology-updater/g' < nfd-worker.conf > nfd-topology-updater.conf\n\nopenssl req -new -newkey rsa:4096 -keyout nfd-worker.key -nodes -out nfd-worker.csr -config nfd-worker.conf\nopenssl req -new -newkey rsa:4096 -keyout nfd-topology-updater.key -nodes -out nfd-topology-updater.csr -config nfd-topology-updater.conf\n
\n\n

Now, sign the certificates with the CA created earlier.

\n\n
for cert in nfd-master nfd-worker nfd-topology-updater; do\n  echo signing $cert\n  openssl x509 -req -in $cert.csr -CA ca.crt -CAkey ca.key \\\n    -CAcreateserial -out $cert.crt -days 10000 \\\n    -extensions v3_ext -extfile $cert.conf\ndone\n
\n\n

Finally, turn these certificates into secrets.

\n\n
for cert in nfd-master nfd-worker nfd-topology-updater; do\n  echo creating secret for $cert in node-feature-discovery namespace\n  cat <<EOF | kubectl create -n node-feature-discovery -f -\n---\napiVersion: v1\nkind: Secret\ntype: kubernetes.io/tls\nmetadata:\n  name: ${cert}-cert\ndata:\n  ca.crt: $( cat ca.crt | base64 -w 0 )\n  tls.crt: $( cat $cert.crt | base64 -w 0 )\n  tls.key: $( cat $cert.key | base64 -w 0 )\nEOF\n\ndone\n
\n","dir":"/deployment/","name":"tls.md","path":"deployment/tls.md","url":"/deployment/tls.html"},{"title":"NFD-Topology-Updater","layout":"default","sort":5,"content":"

NFD-Topology-Updater

\n\n
\n\n

NFD-Topology-Updater is preferably run as a Kubernetes DaemonSet.\nThis assures re-examination on regular intervals\nand/or per pod life-cycle events, capturing changes in the allocated\nresources and hence the allocatable resources on a per-zone basis by updating\nNodeResourceTopology custom resources.\nIt makes sure that new NodeResourceTopology instances are created for each new\nnodes that get added to the cluster.

\n\n

When run as a daemonset, nodes are re-examined for the allocated resources\n(to determine the information of the allocatable resources on a per-zone basis\nwhere a zone can be a NUMA node) at an interval specified using the\n-sleep-interval\noption. The default sleep interval is set to 60s\nwhich is the value when no -sleep-interval is specified.\nThe re-examination can be disabled by setting the sleep-interval to 0.

\n\n

Another option is to configure the updater to update\nthe allocated resources per pod life-cycle events.\nThe updater will monitor the checkpoint file stated in\n-kubelet-state-dir\nand triggers an update for every change occurs in the files.

\n\n

In addition, it can avoid examining specific allocated resources\ngiven a configuration of resources to exclude via -excludeList

\n\n

Deployment Notes

\n\n

Kubelet PodResource API is a prerequisite for\nnfd-topology-updater to be able to run.

\n\n

Preceding Kubernetes v1.23, the kubelet must be started with\n--feature-gates=KubeletPodResourcesGetAllocatable=true.

\n\n

Starting from Kubernetes v1.23, the KubeletPodResourcesGetAllocatable\nfeature gate. is enabled by default

\n\n

Topology-Updater Configuration

\n\n

NFD-Topology-Updater supports configuration through a configuration file. The\ndefault location is /etc/kubernetes/node-feature-discovery/topology-updater.conf,\nbut, this can be changed by specifying the-config command line flag.

\n
\n

NOTE: unlike nfd-worker,\ndynamic configuration updates are not currently supported.

\n
\n\n

Topology-Updater configuration file is read inside the container,\nand thus, Volumes and VolumeMounts are needed\nto make your configuration available for NFD.\nThe preferred method is to use a ConfigMap\nwhich provides easy deployment and re-configurability.

\n\n

The provided nfd-topology-updater deployment templates\ncreate an empty configmap\nand mount it inside the nfd-topology-updater containers.\nIn kustomize deployments, configuration can be edited with:

\n\n
kubectl -n ${NFD_NS} edit configmap nfd-topology-updater-conf\n
\n\n

In Helm deployments,\nTopology Updater parameters\ntoplogyUpdater.config can be used to edit the respective configuration.

\n\n

See\nnfd-topology-updater configuration file reference\nfor more details.\nThe (empty-by-default)\nexample config\ncontains all available configuration options and can be used as a reference\nfor creating a configuration.

\n\n\n","dir":"/usage/","name":"nfd-topology-updater.md","path":"usage/nfd-topology-updater.md","url":"/usage/nfd-topology-updater.html"},{"title":"Developer guide","layout":"default","sort":5,"content":"

Developer guide

\n\n

Table of contents

\n\n
    \n
  1. Building from source
      \n
    1. Download the source code
    2. \n
    3. Docker build
    4. \n
    5. Docker multi-arch builds with buildx
    6. \n
    7. Deployment
    8. \n
    9. Building locally
    10. \n
    11. Customizing the build
    12. \n
    13. Testing
    14. \n
    \n
  2. \n
  3. Running locally
      \n
    1. NFD-Master
    2. \n
    3. NFD-Worker
    4. \n
    5. NFD-Topology-Updater
    6. \n
    \n
  4. \n
  5. Running with Tilt
      \n
    1. Prerequisites
    2. \n
    3. Environment variables
    4. \n
    \n
  6. \n
  7. Documentation
  8. \n
\n\n
\n\n

Building from source

\n\n

Download the source code

\n\n
git clone https://github.com/kubernetes-sigs/node-feature-discovery\ncd node-feature-discovery\n
\n\n

Docker build

\n\n

Build the container image

\n\n

See customizing the build below for altering the\ncontainer image registry, for example.

\n\n
make\n
\n\n

Push the container image

\n\n

Optional, this example with Docker.

\n\n
docker push <IMAGE_TAG>\n
\n\n

Docker multi-arch builds with buildx

\n\n

The default set of architectures enabled for mulit-arch builds are linux/amd64\nand linux/arm64. If more architectures are needed one can override the\nIMAGE_ALL_PLATFORMS variable with a comma separated list of OS/ARCH tuples.

\n\n

Build the manifest-list with a container image per arch

\n\n
make image-all\n
\n\n

Currently docker does not support loading of manifest-lists meaning the images\nare not shown when executing docker images, see:\nbuildx issue #59.

\n\n

Push the manifest-list with container image per arch

\n\n
make push-all\n
\n\n

The resulting container image can be used in the same way on each arch by pulling\ne.g. node-feature-discovery:v0.13.6 without specifying the\narchitecture. The manifest-list will take care of providing the right\narchitecture image.

\n\n

Change the job spec to use your custom image (optional)

\n\n

To use your published image from the step above instead of the\nregistry.k8s.io/nfd/node-feature-discovery image, edit image\nattribute in the spec template(s) to the new location\n(<registry-name>/<image-name>[:<version>]).

\n\n

Deployment

\n\n

The yamls makefile generates a kustomization.yaml matching your locally\nbuilt image and using the deploy/overlays/default deployment. See\nbuild customization below for configurability, e.g.\nchanging the deployment namespace.

\n\n
K8S_NAMESPACE=my-ns make yamls\nkubectl apply -k .\n
\n\n

You can use alternative deployment methods by modifying the auto-generated\nkustomization file. For example, deploying worker and master in the same pod by\npointing to deployment/overlays/default-combined.

\n\n

Building locally

\n\n

You can also build the binaries locally

\n\n
make build\n
\n\n

This will compile binaries under bin/

\n\n

Customizing the build

\n\n

There are several Makefile variables that control the build process and the\nname of the resulting container image. The following are targeted targeted for\nbuild customization and they can be specified via environment variables or\nmakefile overrides.

\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
VariableDescriptionDefault value
HOSTMOUNT_PREFIXPrefix of system directories for feature discovery (local builds)/ (local builds) /host- (container builds)
IMAGE_BUILD_CMDCommand to build the imagedocker build
IMAGE_BUILD_EXTRA_OPTSExtra options to pass to build commandempty
IMAGE_BUILDX_CMDCommand to build and push multi-arch images with buildxDOCKER_CLI_EXPERIMENTAL=enabled docker buildx build –platform=${IMAGE_ALL_PLATFORMS} –progress=auto –pull
IMAGE_ALL_PLATFORMSComma separated list of OS/ARCH tuples for mulit-arch buildslinux/amd64,linux/arm64
IMAGE_PUSH_CMDCommand to push the image to remote registrydocker push
IMAGE_REGISTRYContainer image registry to useregistry.k8s.io/nfd
IMAGE_TAG_NAMEContainer image tag name<nfd version>
IMAGE_EXTRA_TAG_NAMESAdditional container image tag(s) to create when building imageempty
K8S_NAMESPACEnfd-master and nfd-worker namespacenode-feature-discovery
KUBECONFIGKubeconfig for running e2e-testsempty
E2E_TEST_CONFIGParameterization file of e2e-tests (see example)empty
E2E_PULL_IF_NOT_PRESENTTrue-ish value makes the image pull policy IfNotPresent (to be used only in e2e tests)false
OPENSHIFTNon-empty value enables OpenShift specific support (currently only effective in e2e tests)empty
\n\n

For example, to use a custom registry:

\n\n
make IMAGE_REGISTRY=<my custom registry uri>\n
\n\n

Or to specify a build tool different from Docker, It can be done in 2 ways:

\n\n
    \n
  1. \n

    via environment

    \n\n
     IMAGE_BUILD_CMD=\"buildah bud\" make\n
    \n
  2. \n
  3. \n

    by overriding the variable value

    \n\n
     make  IMAGE_BUILD_CMD=\"buildah bud\"\n
    \n
  4. \n
\n\n

Testing

\n\n

Unit tests are automatically run as part of the container image build. You can\nalso run them manually in the source code tree by simply running:

\n\n
make test\n
\n\n

End-to-end tests are built on top of the e2e test framework of Kubernetes, and,\nthey required a cluster to run them on. For running the tests on your test\ncluster you need to specify the kubeconfig to be used:

\n\n
make e2e-test KUBECONFIG=$HOME/.kube/config\n
\n\n

Running locally

\n\n

You can run NFD locally, either directly on your host OS or in containers for\ntesting and development purposes. This may be useful e.g. for checking\nfeatures-detection.

\n\n

NFD-Master

\n\n

When running as a standalone container labeling is expected to fail because\nKubernetes API is not available. Thus, it is recommended to use -no-publish\ncommand line flag. E.g.

\n\n
$ export NFD_CONTAINER_IMAGE=registry.k8s.io/nfd/node-feature-discovery:v0.13.6\n$ docker run --rm --name=nfd-test ${NFD_CONTAINER_IMAGE} nfd-master -no-publish\n2019/02/01 14:48:21 Node Feature Discovery Master <NFD_VERSION>\n2019/02/01 14:48:21 gRPC server serving on port: 8080\n
\n\n

NFD-Worker

\n\n

In order to run nfd-worker as a “stand-alone” container against your\nstandalone nfd-master you need to run them in the same network namespace:

\n\n
$ docker run --rm --network=container:nfd-test ${NFD_CONTAINER_IMAGE} nfd-worker\n2019/02/01 14:48:56 Node Feature Discovery Worker <NFD_VERSION>\n...\n
\n\n

If you just want to try out feature discovery without connecting to nfd-master,\npass the -no-publish flag to nfd-worker.

\n\n

NOTE Some feature sources need certain directories and/or files from the\nhost mounted inside the NFD container. Thus, you need to provide Docker with the\ncorrect --volume options in order for them to work correctly when run\nstand-alone directly with docker run. See the\ndefault deployment\nfor up-to-date information about the required volume mounts.

\n\n

NFD-Topology-Updater

\n\n

In order to run nfd-topology-updater as a “stand-alone” container against your\nstandalone nfd-master you need to run them in the same network namespace:

\n\n
$ docker run --rm --network=container:nfd-test ${NFD_CONTAINER_IMAGE} nfd-topology-updater\n2019/02/01 14:48:56 Node Feature Discovery Topology Updater <NFD_VERSION>\n...\n
\n\n

If you just want to try out feature discovery without connecting to nfd-master,\npass the -no-publish flag to nfd-topology-updater.

\n\n

NOTE:

\n\n

NFD topology updater needs certain directories and/or files from the\nhost mounted inside the NFD container. Thus, you need to provide Docker with the\ncorrect --volume options in order for them to work correctly when run\nstand-alone directly with docker run. See the\ntemplate spec\nfor up-to-date information about the required volume mounts.

\n\n

PodResource API is a prerequisite for nfd-topology-updater.\nPreceding Kubernetes v1.23, the kubelet must be started with the following flag:\n--feature-gates=KubeletPodResourcesGetAllocatable=true.\nStarting Kubernetes v1.23, the GetAllocatableResources is enabled by default\nthrough KubeletPodResourcesGetAllocatable feature gate.

\n\n

Running with Tilt

\n\n

Another option for building NFD locally is via Tilt tool, which can build container\nimages, push them to a local registry and reload your Kubernetes pods automatically.\nWhen using Tilt, you don’t have to build container images and re-deploy your pods\nmanually but instead let the Tilt take care of it. Tiltfile is a configuration file\nfor the Tilt and is located at the root directory. To develop NFD with Tilt, follow\nthe steps below.

\n\n

Prerequisites

\n\n
    \n
  1. Install Docker
  2. \n
  3. Setup Docker as a non-root user.
  4. \n
  5. Install kubectl
  6. \n
  7. Install kustomize
  8. \n
  9. Install tilt
  10. \n
  11. Create a local Kubernetes cluster
  12. \n
\n\n

To start up your Tilt development environment, just run

\n\n
tilt up\n
\n\n

at the root of your local NFD codebase. Tilt will start a web interface in the\nlocalhost and port 10350. From the web interface, you are able to see how NFD worker\nand master are progressing, watch their build and runtime logs. Once your code changes\nare saved locally, Tilt will notice it and re-build the container image from the\ncurrent code, push the image to the registry and re-deploy NFD pods with the latest\ncontainer image.

\n\n

Environment variables

\n\n

To override environment variables used in the Tiltfile during image build,\nexport them in your current terminal before starting Tilt.

\n\n
export IMAGE_TAG_NAME=\"v1\"\ntilt up\n
\n\n

This will override the default value(master) of IMAGE_TAG_NAME variable defined\nin the Tiltfile.

\n\n

Documentation

\n\n

All documentation resides under the\ndocs\ndirectory in the source tree. It is designed to be served as a html site by\nGitHub Pages.

\n\n

Building the documentation is containerized in order to fix the build\nenvironment. The recommended way for developing documentation is to run:

\n\n
make site-serve\n
\n\n

This will build the documentation in a container and serve it under\nlocalhost:4000/ making it easy to verify the results.\nAny changes made to the docs/ will automatically re-trigger a rebuild and are\nreflected in the served content and can be inspected with a simple browser\nrefresh.

\n\n

In order to just build the html documentation run:

\n\n
make site-build\n
\n\n

This will generate html documentation under docs/_site/.

\n\n\n","dir":"/developer-guide/","name":"index.md","path":"developer-guide/index.md","url":"/developer-guide/"},{"title":"Topology-Updater config reference","layout":"default","sort":6,"content":"

Configuration file reference of nfd-topology-updater

\n\n

Table of contents

\n\n
    \n
  1. excludeList
      \n
    1. excludeList.*
    2. \n
    \n
  2. \n
\n\n
\n\n

See the\nsample configuration file\nfor a full example configuration.

\n\n

excludeList

\n\n

The excludeList specifies a key-value map of allocated resources\nthat should not be examined by the topology-updater\nagent per node.\nEach key is a node name with a value as a list of resources\nthat should not be examined by the agent for that specific node.

\n\n

Default: empty

\n\n

Example:

\n\n
excludeList:\n  nodeA: [hugepages-2Mi]\n  nodeB: [memory]\n  nodeC: [cpu, hugepages-2Mi]\n
\n\n

excludeList.*

\n

excludeList.* is a special value that use to specify all nodes.\nA resource that would be listed under this key, would be excluded from all nodes.

\n\n

Default: empty

\n\n

Example:

\n\n
excludeList:\n  '*': [hugepages-2Mi]\n
\n","dir":"/reference/","name":"topology-updater-configuration-reference.md","path":"reference/topology-updater-configuration-reference.md","url":"/reference/topology-updater-configuration-reference.html"},{"title":"Contributing","layout":"default","sort":6,"content":"

Contributing

\n\n
\n\n

Community

\n\n

You can reach us via the following channels:

\n\n\n\n

Governance

\n\n

This is a\nSIG-node\nsubproject, hosted under the\nKubernetes SIGs organization in Github.\nThe project was established in 2016 and was migrated to Kubernetes SIGs in 2018.

\n\n

License

\n\n

This is open source software released under the Apache 2.0 License.

\n","dir":"/contributing/","name":"index.md","path":"contributing/index.md","url":"/contributing/"},{"title":"Uninstallation","layout":"default","sort":6,"content":"

Uninstallation

\n\n

Table of contents

\n\n
    \n
  1. Removing feature labels
  2. \n
\n\n
\n\n

Follow the uninstallation instructions of the deployment method used\n(kustomize,\nhelm or\noperator).

\n\n

Removing feature labels

\n\n

NFD-Master has a special -prune command line flag for removing all\nnfd-related node labels, annotations, extended resources and taints from the\ncluster.

\n\n
kubectl apply -k https://github.com/kubernetes-sigs/node-feature-discovery/deployment/overlays/prune?ref=v0.13.6\nkubectl -n node-feature-discovery wait job.batch/nfd-master --for=condition=complete && \\\n    kubectl delete -k https://github.com/kubernetes-sigs/node-feature-discovery/deployment/overlays/prune?ref=v0.13.6\n
\n\n

NOTE: You must run prune before removing the RBAC rules (serviceaccount,\nclusterrole and clusterrolebinding).

\n","dir":"/deployment/","name":"uninstallation.md","path":"deployment/uninstallation.md","url":"/deployment/uninstallation.html"},{"title":"NFD-Topology-Garbage-Collector","layout":"default","sort":6,"content":"

NFD-Topology-Garbage-Collector

\n\n
\n\n

NFD-Topology-Garbage-Collector is preferably run as a Kubernetes deployment\nwith one replica. It makes sure that all\nNodeResourceTopology\nhave corresponding worker nodes and removes stale objects for worker nodes\nwhich are no longer part of Kubernetes cluster.

\n\n

This service watches for Node deletion events and removes NodeResourceTopology\nobjects upon them. It is also running periodically to make sure no event was\nmissed or NodeResourceTopology object was created without corresponding worker\nnode. The default garbage collector interval is set to 1h which is the value\nwhen no -gc-interval is specified.

\n\n

Topology-Garbage-Collector Configuration

\n\n

In Helm deployments,\n(see Topology Garbage Collector\nfor parameters). NFD-Topology-Garbage-Collector will only be deployed when\ntopologyUpdater.enable is set to true.

\n","dir":"/usage/","name":"nfd-topology-gc.md","path":"usage/nfd-topology-gc.md","url":"/usage/nfd-topology-gc.html"},{"title":"Topology Garbage Collector Cmdline Reference","layout":"default","sort":7,"content":"

NFD-Topology-Garbage-Collector Commandline Flags

\n\n

Table of Contents

\n\n
    \n
  1. NFD-Topology-Garbage-Collector Commandline Flags
      \n
    1. -h, -help
    2. \n
    3. -version
    4. \n
    5. -gc-interval
    6. \n
    \n
  2. \n
\n\n
\n\n

To quickly view available command line flags execute nfd-topology-gc -help.\nIn a docker container:

\n\n
docker run registry.k8s.io/nfd/node-feature-discovery:v0.13.6 \\\nnfd-topology-gc -help\n
\n\n

-h, -help

\n\n

Print usage and exit.

\n\n

-version

\n\n

Print version and exit.

\n\n

-gc-interval

\n\n

The -gc-interval specifies the interval between periodic garbage collector runs.

\n\n

Default: 1h

\n\n

Example:

\n\n
nfd-topology-gc -gc-interval=1h\n
\n","dir":"/reference/","name":"topology-gc-commandline-reference.md","path":"reference/topology-gc-commandline-reference.md","url":"/reference/topology-gc-commandline-reference.html"},{"title":"CRDs","layout":"default","sort":7,"content":"

Custom Resources

\n\n

Table of contents

\n\n
    \n
  1. NodeFeature
  2. \n
  3. NodeFeatureRule
  4. \n
  5. NodeResourceTopology
  6. \n
\n\n
\n\n

NFD uses some Kubernetes custom resources.

\n\n

NodeFeature

\n\n

EXPERIMENTAL\nNodeFeature is an NFD-specific custom resource for communicating node\nfeatures and node labeling requests. Support for NodeFeature objects is\ndisabled by default. If enabled, nfd-master watches for NodeFeature objects,\nlabels nodes as specified and uses the listed features as input when evaluating\nNodeFeatureRules. NodeFeature objects can be used for\nimplementing 3rd party extensions (see\ncustomization guide for more\ndetails).

\n\n
apiVersion: nfd.k8s-sigs.io/v1alpha1\nkind: NodeFeature\nmetadata:\n  labels:\n    nfd.node.kubernetes.io/node-name: node-1\n  name: node-1-vendor-features\nspec:\n  features:\n    instances:\n      vendor.device:\n        elements:\n        - attributes:\n            model: \"xpu-1\"\n            memory: \"4000\"\n            type: \"fast\"\n        - attributes:\n            model: \"xpu-2\"\n            memory: \"16000\"\n            type: \"slow\"\n  labels:\n    vendor-xpu-present: \"true\"\n
\n\n

NodeFeatureRule

\n\n

NodeFeatureRule is an NFD-specific custom resource that is designed for\nrule-based custom labeling of nodes. NFD-Master watches for NodeFeatureRule\nobjects in the cluster and labels nodes according to the rules within. Some use\ncases are e.g. application specific labeling in a specific environments or\nbeing distributed by hardware vendors to create specific labels for their\ndevices.

\n\n
apiVersion: nfd.k8s-sigs.io/v1alpha1\nkind: NodeFeatureRule\nmetadata:\n  name: example-rule\nspec:\n  rules:\n    - name: \"example rule\"\n      labels:\n        \"example-custom-feature\": \"true\"\n      # Label is created if all of the rules below match\n      matchFeatures:\n        # Match if \"veth\" kernel module is loaded\n        - feature: kernel.loadedmodule\n          matchExpressions:\n            veth: {op: Exists}\n        # Match if any PCI device with vendor 8086 exists in the system\n        - feature: pci.device\n          matchExpressions:\n            vendor: {op: In, value: [\"8086\"]}\n
\n\n

See the\nCustomization guide\nfor full documentation of the NodeFeatureRule resource and its usage.

\n\n

NodeResourceTopology

\n\n

When run with NFD-Topology-Updater, NFD creates NodeResourceTopology objects\ncorresponding to node resource hardware topology such as:

\n\n
apiVersion: topology.node.k8s.io/v1alpha1\nkind: NodeResourceTopology\nmetadata:\n  name: node1\ntopologyPolicies: [\"SingleNUMANodeContainerLevel\"]\nzones:\n  - name: node-0\n    type: Node\n    resources:\n      - name: cpu\n        capacity: 20\n        allocatable: 16\n        available: 10\n      - name: vendor/nic1\n        capacity: 3\n        allocatable: 3\n        available: 3\n  - name: node-1\n    type: Node\n    resources:\n      - name: cpu\n        capacity: 30\n        allocatable: 30\n        available: 15\n      - name: vendor/nic2\n        capacity: 6\n        allocatable: 6\n        available: 6\n  - name: node-2\n    type: Node\n    resources:\n      - name: cpu\n        capacity: 30\n        allocatable: 30\n        available: 15\n      - name: vendor/nic1\n        capacity: 3\n        allocatable: 3\n        available: 3\n
\n\n

The NodeResourceTopology objects created by NFD can be used to gain insight\ninto the allocatable resources along with the granularity of those resources at\na per-zone level (represented by node-0 and node-1 in the above example) or can\nbe used by an external entity (e.g. topology-aware scheduler plugin) to take an\naction based on the gathered information.

\n\n\n","dir":"/usage/","name":"custom-resources.md","path":"usage/custom-resources.md","url":"/usage/custom-resources.html"},{"title":"Customization guide","layout":"default","sort":8,"content":"

Customization guide

\n\n

Table of contents

\n\n
    \n
  1. Overview
  2. \n
  3. NodeFeature custom resource
      \n
    1. A NodeFeature example
    2. \n
    3. Feature types
    4. \n
    \n
  4. \n
  5. NodeFeatureRule custom resource
      \n
    1. A NodeFeatureRule example
    2. \n
    3. NodeFeatureRule tainting feature
    4. \n
    \n
  6. \n
  7. Local feature source
      \n
    1. A hook example
    2. \n
    3. Hooks
    4. \n
    5. Feature files
    6. \n
    7. Input format
    8. \n
    9. Mounts
    10. \n
    \n
  8. \n
  9. Custom feature source
      \n
    1. An example custom feature source configuration
    2. \n
    3. Additional configuration directory
    4. \n
    \n
  10. \n
  11. Node labels
  12. \n
  13. Label rule format
      \n
    1. Fields
    2. \n
    3. Available features
    4. \n
    5. Templating
    6. \n
    7. Backreferences
    8. \n
    9. Examples
    10. \n
    \n
  14. \n
  15. Legacy custom rule syntax
      \n
    1. General nomenclature and definitions
    2. \n
    3. Custom features format (using the nomenclature defined above)
    4. \n
    5. Matching process
    6. \n
    7. Rules
    8. \n
    9. Legacy custom rule example
    10. \n
    \n
  16. \n
\n\n
\n\n

Overview

\n\n

NFD provides multiple extension points for vendor and application specific\nlabeling:

\n\n\n\n

NodeFeature custom resource

\n\n

EXPERIMENTAL\nNodeFeature objects provide a way for 3rd party extensions to advertise custom\nfeatures, both as “raw” features that serve as input to\nNodeFeatureRule objects and as feature\nlabels directly.

\n\n

Note that RBAC rules must be created for each extension for them to be able to\ncreate and manipulate NodeFeature objects in their namespace.

\n\n

Support for NodeFeature CRD API is enabled with the -enable-nodefeature-api\ncommand line flag. This flag must be specified for both nfd-master and\nnfd-worker as it will disable the gRPC communication between them.

\n\n

A NodeFeature example

\n\n

Consider the following referential example:

\n\n
apiVersion: nfd.k8s-sigs.io/v1alpha1\nkind: NodeFeature\nmetadata:\n  labels:\n    nfd.node.kubernetes.io/node-name: node-1\n  name: vendor-features-for-node-1\nspec:\n  # Features for NodeFeatureRule matching\n  features:\n    flags:\n      vendor.flags:\n        elements:\n          feature-x: {}\n          feature-y: {}\n    attributes:\n      vendor.config:\n        elements:\n          setting-a: \"auto\"\n          knob-b: \"123\"\n    instances:\n      vendor.devices:\n        elements:\n        - attributes:\n            model: \"dev-1000\"\n            vendor: \"acme\"\n        - attributes:\n            model: \"dev-2000\"\n            vendor: \"acme\"\n  # Labels to be created\n  labels:\n    vendor-feature.enabled: \"true\"\n
\n\n

The object targets node named node-1. It lists two “flag type” features under\nthe vendor.flags domain, two “attribute type” features and under the\nvendor.config domain and two “instance type” features under the\nvendor.devices domain. These features will not be directly affecting the node\nlabels but they will be used as input when the\nNodeFeatureRule objects are evaluated.

\n\n

In addition, the example requests directly the\nfeature.node.kubenernetes.io/vendor-feature.enabled=true node label to be\ncreated.

\n\n

The nfd.node.kubernetes.io/node-name=<node-name> must be in place for each\nNodeFeature object as NFD uses it to determine the node which it is targeting.

\n\n

Feature types

\n\n

Features are divided into three different types:

\n\n\n\n

NodeFeatureRule custom resource

\n\n

NodeFeatureRule objects provide an easy way to create vendor or application\nspecific labels and taints. It uses a flexible rule-based mechanism for creating\nlabels and optionally taints based on node features.

\n\n

A NodeFeatureRule example

\n\n

Consider the following referential example:

\n\n
apiVersion: nfd.k8s-sigs.io/v1alpha1\nkind: NodeFeatureRule\nmetadata:\n  name: my-sample-rule-object\nspec:\n  rules:\n    - name: \"my sample rule\"\n      labels:\n        \"my-sample-feature\": \"true\"\n      matchFeatures:\n        - feature: kernel.loadedmodule\n          matchExpressions:\n            dummy: {op: Exists}\n        - feature: kernel.config\n          matchExpressions:\n            X86: {op: In, value: [\"y\"]}\n
\n\n

It specifies one rule which creates node label\nfeature.node.kubenernetes.io/my-sample-feature=true if both of the following\nconditions are true (matchFeatures implements a logical AND over the\nmatchers):

\n\n\n\n

Create a NodeFeatureRule with a yaml file:

\n\n
kubectl apply -f https://raw.githubusercontent.com/kubernetes-sigs/node-feature-discovery/v0.13.6/examples/nodefeaturerule.yaml\n
\n\n

Now, on X86 platforms the feature label appears after doing modprobe dummy on\na system and correspondingly the label is removed after rmmod dummy. Note a\nre-labeling delay up to the sleep-interval of nfd-worker (1 minute by default).

\n\n

See Label rule format for detailed description of\navailable fields and how to write labeling rules.

\n\n

NodeFeatureRule tainting feature

\n\n

This feature is experimental.

\n\n

In some circumstances, it is desirable to keep nodes with specialized hardware\naway from running general workload and instead leave them for workloads that\nneed the specialized hardware. One way to achieve it is to taint the nodes with\nthe specialized hardware and add corresponding toleration to pods that require\nthe special hardware. NFD offers node tainting functionality which is disabled\nby default. User can define one or more custom taints via the taints field of\nthe NodeFeatureRule CR. The same rule-based mechanism is applied here and the\nNFD taints only rule matching nodes.

\n\n

To enable the tainting feature, --enable-taints flag needs to be set to true.\nIf the flag --enable-taints is set to false (i.e. disabled), taints defined in\nthe NodeFeatureRule CR have no effect and will be ignored by the NFD master.

\n\n

NOTE: Before enabling any taints, make sure to edit nfd-worker daemonset to\ntolerate the taints to be created. Otherwise, already running pods that do not\ntolerate the taint are evicted immediately from the node including the nfd-worker\npod.

\n\n

Example NodeFeatureRule with custom taints:

\n\n
apiVersion: nfd.k8s-sigs.io/v1alpha1\nkind: NodeFeatureRule\nmetadata:\n  name: my-sample-rule-object\nspec:\n  rules:\n    - name: \"my sample taint rule\"\n      taints:\n        - effect: PreferNoSchedule\n          key: \"feature.node.kubernetes.io/special-node\"\n          value: \"true\"\n        - effect: NoExecute\n          key: \"feature.node.kubernetes.io/dedicated-node\"\n      matchFeatures:\n        - feature: kernel.loadedmodule\n          matchExpressions:\n            dummy: {op: Exists}\n        - feature: kernel.config\n          matchExpressions:\n            X86: {op: In, value: [\"y\"]}\n
\n\n

In this example, if the my sample taint rule rule is matched, feature.node.kubernetes.io/pci-0300_1d0f.present=true:NoExecute\nand feature.node.kubernetes.io/cpu-cpuid.ADX:NoExecute taints are set on the node.

\n\n

There are some limitations to the namespace part (i.e. prefix/) of the taint\nkey:

\n\n\n\n

Local feature source

\n\n

NFD-Worker has a special feature source named local which is an integration\npoint for external feature detectors. It provides a mechanism for pluggable\nextensions, allowing the creation of new user-specific features and even\noverriding built-in labels.

\n\n

The local feature source has two methods for detecting features, hooks and\nfeature files. The features discovered by the local source can further be\nused in label rules specified in\nNodeFeatureRule objects and the\ncustom feature source.

\n\n

NOTE: Be careful when creating and/or updating hook or feature files while\nNFD is running. In order to avoid race conditions you should write into a\ntemporary file (outside the source.d and features.d directories), and,\natomically create/update the original file by doing a filesystem move\noperation.

\n\n

A hook example

\n\n

Consider a shell script\n/etc/kubernetes/node-feature-discovery/source.d/my-hook.sh having the\nfollowing stdout output, or alternatively, a plaintext file\n/etc/kubernetes/node-feature-discovery/features.d/my-features having the\nfollowing contents:

\n\n
my-feature.1\nmy-feature.2=myvalue\nmy.namespace/my-feature.3=456\n
\n\n

This will translate into the following node labels:

\n\n
feature.node.kubernetes.io/my-feature.1: \"true\"\nfeature.node.kubernetes.io/my-feature.2: \"myvalue\"\nmy.namespace/my-feature.3: \"456\"\n
\n\n

Hooks

\n\n

DEPRECATED The local source executes hooks found in\n/etc/kubernetes/node-feature-discovery/source.d/. The hook files must be\nexecutable and they are supposed to print all discovered features in stdout.\nSince NFD v0.13 the default container image only supports statically linked ELF\nbinaries.

\n\n

stderr output of hooks is propagated to NFD log so it can be used for\ndebugging and logging.

\n\n

NFD tries to execute any regular files found from the hooks directory.\nAny additional data files the hook might need (e.g. a configuration file)\nshould be placed in a separate directory in order to avoid NFD unnecessarily\ntrying to execute them. A subdirectory under the hooks directory can be used,\nfor example /etc/kubernetes/node-feature-discovery/source.d/conf/.

\n\n

NOTE: Hooks are being DEPRECATED and will be removed in a future release.\nFor backward compatibility, currently hooks are enabled by default and can be\ndisabled via sources.local.hooksEnabled field in the worker configuration.

\n\n
sources:\n  local:\n    hooksEnabled: true  # true by default at this point\n
\n\n

NOTE: NFD will blindly run any executables placed/mounted in the hooks\ndirectory. It is the user’s responsibility to review the hooks for e.g.\npossible security implications.

\n\n

NOTE: The full image variant\nprovides backwards-compatibility with older NFD versions by including a more\nexpanded environment, supporting bash and perl runtimes.

\n\n

Feature files

\n\n

The local source reads files found in\n/etc/kubernetes/node-feature-discovery/features.d/.

\n\n

Input format

\n\n

The hook stdout and feature files are expected to contain features in simple\nkey-value pairs, separated by newlines:

\n\n
<name>[=<value>]\n
\n\n

The label value defaults to true, if not specified.

\n\n

Label namespace may be specified with <namespace>/<name>[=<value>].

\n\n

Mounts

\n\n

The standard NFD deployments contain hostPath mounts for\n/etc/kubernetes/node-feature-discovery/source.d/ and\n/etc/kubernetes/node-feature-discovery/features.d/, making these directories\nfrom the host available inside the nfd-worker container.

\n\n

Injecting labels from other pods

\n\n

One use case for the hooks and/or feature files is detecting features in other\nPods outside NFD, e.g. in Kubernetes device plugins. By using the same\nhostPath mounts for /etc/kubernetes/node-feature-discovery/source.d/ and\n/etc/kubernetes/node-feature-discovery/features.d/ in the side-car (e.g.\ndevice plugin) creates a shared area for deploying hooks and feature files to\nNFD. NFD will periodically scan the directories and run any hooks and read any\nfeature files it finds.

\n\n

Custom feature source

\n\n

The custom feature source in nfd-worker provides a rule-based mechanism for\nlabel creation, similar to the\nNodeFeatureRule objects. The difference is\nthat the rules are specified in the worker configuration instead of a\nKubernetes API object.

\n\n

See worker configuration\nfor instructions how to set-up and manage the worker configuration.

\n\n

An example custom feature source configuration

\n\n

Consider the following referential configuration for nfd-worker:

\n\n
core:\n  labelSources: [\"custom\"]\nsources:\n  custom:\n    - name: \"my sample rule\"\n      labels:\n        \"my-sample-feature\": \"true\"\n      matchFeatures:\n        - feature: kernel.loadedmodule\n          matchExpressions:\n            dummy: {op: Exists}\n        - feature: kernel.config\n          matchExpressions:\n            X86: {op: In, value: [\"y\"]}\n
\n\n

It specifies one rule which creates node label\nfeature.node.kubenernetes.io/my-sample-feature=true if both of the following\nconditions are true (matchFeatures implements a logical AND over the\nmatchers):

\n\n\n\n

In addition, the configuration only enables the custom source, disabling all\nbuilt-in labels.

\n\n

Now, on X86 platforms the feature label appears after doing modprobe dummy on\na system and correspondingly the label is removed after rmmod dummy. Note a\nre-labeling delay up to the sleep-interval of nfd-worker (1 minute by default).

\n\n

Additional configuration directory

\n\n

In addition to the rules defined in the nfd-worker configuration file, the\ncustom feature source can read more configuration files located in the\n/etc/kubernetes/node-feature-discovery/custom.d/ directory. This makes more\ndynamic and flexible configuration easier.

\n\n

As an example, consider having file\n/etc/kubernetes/node-feature-discovery/custom.d/my-rule.yaml with the\nfollowing content:

\n\n
- name: \"my e1000 rule\"\n  labels:\n    \"e1000.present\": \"true\"\n  matchFeatures:\n    - feature: kernel.loadedmodule\n      matchExpressions:\n        e1000: {op: Exists}\n
\n\n

This simple rule will create feature.node.kubenernetes.io/e1000.present=true\nlabel if the e1000 kernel module has been loaded.

\n\n

The\nsamples/custom-rules\nkustomize overlay sample contains an example for deploying a custom rule from a\nConfigMap.

\n\n

Node labels

\n\n

Feature labels have the following format:

\n\n
<namespace>/<name> = <value>\n
\n\n

The namespace part (i.e. prefix) of the labels is controlled by nfd:

\n\n\n\n

Label rule format

\n\n

This section describes the rule format used in\nNodeFeatureRule objects and in the\nconfiguration of the custom feature source.

\n\n

It is based on a generic feature matcher that covers all features discovered by\nnfd-worker. The rules rely on a unified data model of the available features\nand a generic expression-based format. Features that can be used in the rules\nare described in detail in available features below.

\n\n

Take this rule as a referential example:

\n\n
    - name: \"my feature rule\"\n      labels:\n        \"my-special-feature\": \"my-value\"\n      matchFeatures:\n        - feature: cpu.cpuid\n          matchExpressions:\n            AVX512F: {op: Exists}\n        - feature: kernel.version\n          matchExpressions:\n            major: {op: In, value: [\"5\"]}\n            minor: {op: Gt, value: [\"1\"]}\n        - feature: pci.device\n          matchExpressions:\n            vendor: {op: In, value: [\"8086\"]}\n            class: {op: In, value: [\"0200\"]}\n
\n\n

This will yield feature.node.kubenernetes.io/my-special-feature=my-value node\nlabel if all of these are true (matchFeatures implements a logical AND over\nthe matchers):

\n\n\n\n

Fields

\n\n

Name

\n\n

The .name field is required and used as an identifier of the rule.

\n\n

Labels

\n\n

The .labels is a map of the node labels to create if the rule matches.

\n\n

Labels template

\n\n

The .labelsTemplate field specifies a text template for dynamically creating\nlabels based on the matched features. See templating for\ndetails.

\n\n

NOTE The labels field has priority over labelsTemplate, i.e.\nlabels specified in the labels field will override anything\noriginating from labelsTemplate.

\n\n

Taints

\n\n

taints is a list of taint entries and each entry can have key, value and effect,\nwhere the value is optional. Effect could be NoSchedule, PreferNoSchedule\nor NoExecute. To learn more about the meaning of these effects, check out k8s documentation.

\n\n

NOTE taints field is not available for the custom rules of nfd-worker and only\nfor NodeFeatureRule objects.

\n\n

Vars

\n\n

The .vars field is a map of values (key-value pairs) to store for subsequent\nrules to use. In other words, these are variables that are not advertised as\nnode labels. See backreferences for more details on the\nusage of vars.

\n\n

Extended resources

\n\n

The .extendedResources field is a list of extended resources to advertise.\nSee extended resources for more details.

\n\n

Take this rule as a referential example:

\n\n
apiVersion: nfd.k8s-sigs.io/v1alpha1\nkind: NodeFeatureRule\nmetadata:\n  name: my-extended-resource-rule\nspec:\n  rules:\n    - name: \"my extended resource rule\"\n      extendedResources:\n        vendor.io/dynamic: \"@kernel.version.major\"\n        vendor.io/static: \"123\"\n      matchFeatures:\n        - feature: kernel.version\n          matchExpressions:\n            major: {op: Exists}\n
\n\n

The extended resource vendor.io/dynamic is defined in the form @feature.attribute.\nThe value of the extended resource will be the value of the attribute major\nof the feature kernel.version.

\n\n

The @<feature-name>.<element-name> format can be used to inject values of\ndetected features to the extended resource. See\navailable features for possible values to use. Note that\nthe value must be eligible as a\nKubernetes resource quantity.

\n\n

This will yield into the following node status:

\n\n
  allocatable:\n    ...\n    vendor.io/dynamic: \"5\"\n    vendor.io/static: \"123\"\n    ...\n  capacity:\n    ...\n    vendor.io/dynamic: \"5\"\n    vendor.io/static: \"123\"\n    ...\n
\n\n

There are some limitations to the namespace part (i.e. prefix)/ of the Extended\nResources names:

\n\n\n\n

Vars template

\n\n

The .varsTemplate field specifies a text template for dynamically creating\nvars based on the matched features. See templating for details\non using templates and backreferences for more details on\nthe usage of vars.

\n\n

NOTE The vars field has priority over varsTemplate, i.e.\nvars specified in the vars field will override anything originating from\nvarsTemplate.

\n\n

MatchFeatures

\n\n

The .matchFeatures field specifies a feature matcher, consisting of a list of\nfeature matcher terms. It implements a logical AND over the terms i.e. all\nof them must match in order for the rule to trigger.

\n\n
      matchFeatures:\n        - feature: <feature-name>\n          matchExpressions:\n            <key>:\n              op: <op>\n              value:\n                - <value-1>\n                - ...\n
\n\n

The .matchFeatures[].feature field specifies the feature against which to\nmatch.

\n\n

The .matchFeatures[].matchExpressions field specifies a map of expressions\nwhich to evaluate against the elements of the feature.

\n\n

In each MatchExpression op specifies the operator to apply. Valid values are\ndescribed below.

\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
OperatorNumber of valuesMatches when
In1 or greaterInput is equal to one of the values
NotIn1 or greaterInput is not equal to any of the values
InRegexp1 or greaterValues of the MatchExpression are treated as regexps and input matches one or more of them
Exists0The key exists
DoesNotExist0The key does not exists
Gt1Input is greater than the value. Both the input and value must be integer numbers.
Lt1Input is less than the value. Both the input and value must be integer numbers.
GtLt2Input is between two values. Both the input and value must be integer numbers.
IsTrue0Input is equal to “true”
IsFalse0Input is equal “false”
\n\n

The value field of MatchExpression is a list of string arguments to the\noperator.

\n\n

The behavior of MatchExpression depends on the feature type:\nfor flag and attribute features the MatchExpression operates on the feature\nelement whose name matches the <key>. However, for instance features all\nMatchExpressions are evaluated against the attributes of each instance\nseparately.

\n\n

MatchAny

\n\n

The .matchAny field is a list of of matchFeatures\nmatchers. A logical OR is applied over the matchers, i.e. at least one of them\nmust match in order for the rule to trigger.

\n\n

Consider the following example:

\n\n
      matchAny:\n        - matchFeatures:\n            - feature: kernel.loadedmodule\n              matchExpressions:\n                kmod-1: {op: Exists}\n            - feature: pci.device\n              matchExpressions:\n                vendor: {op: In, value: [\"0eee\"]}\n                class: {op: In, value: [\"0200\"]}\n        - matchFeatures:\n            - feature: kernel.loadedmodule\n              matchExpressions:\n                kmod-2: {op: Exists}\n            - feature: pci.device\n              matchExpressions:\n                vendor: {op: In, value: [\"0fff\"]}\n                class: {op: In, value: [\"0200\"]}\n
\n\n

This matches if kernel module kmod-1 is loaded and a network controller from\nvendor 0eee is present, OR, if kernel module kmod-2 has been loaded and a\nnetwork controller from vendor 0fff is present (OR both of these conditions are\ntrue).

\n\n

Available features

\n\n

The following features are available for matching:

\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
FeatureFeature typeElementsValue typeDescription
cpu.cpuidflag  Supported CPU capabilities
  <cpuid-flag> CPUID flag is present
cpu.cstateattribute  Status of cstates in the intel_idle cpuidle driver
  enabledbool‘true’ if cstates are set, otherwise ‘false’. Does not exist of intel_idle driver is not active.
cpu.modelattribute  CPU model related attributes
  familyintCPU family
  vendor_idstringCPU vendor ID
  idintCPU model ID
cpu.pstateattribute  State of the Intel pstate driver. Does not exist if the driver is not enabled.
  statusstringStatus of the driver, possible values are ‘active’ and ‘passive’
  turbobool‘true’ if turbo frequencies are enabled, otherwise ‘false’
  scalingstringActive scaling_governor, possible values are ‘powersave’ or ‘performance’.
cpu.rdtattribute  Intel RDT capabilities supported by the system
  <rdt-flag> RDT capability is supported, see RDT flags for details
  RDTL3CA_NUM_CLOSIDintThe number or available CLOSID (Class of service ID) for Intel L3 Cache Allocation Technology
cpu.securityattribute  Features related to security and trusted execution environments
  sgx.enabledbooltrue if Intel SGX (Software Guard Extensions) has been enabled, otherwise does not exist
  sgx.epcintThe total amount Intel SGX Encrypted Page Cache memory in bytes. It’s only present if sgx.enabled is true.
  se.enabledbooltrue if IBM Secure Execution for Linux is available and has been enabled, otherwise does not exist
  tdx.enabledbooltrue if Intel TDX (Trusted Domain Extensions) is available on the host and has been enabled, otherwise does not exist
  tdx.total_keysintThe total amount of keys an Intel TDX (Trusted Domain Extensions) host can provide. It’s only present if tdx.enabled is true.
  sev.enabledbooltrue if AMD SEV (Secure Encrypted Virtualization) is available on the host and has been enabled, otherwise does not exist
  sev.es.enabledbooltrue if AMD SEV-ES (Encrypted State supported) is available on the host and has been enabled, otherwise does not exist
  sev.snp.enabledbooltrue if AMD SEV-SNP (Secure Nested Paging supported) is available on the host and has been enabled, otherwise does not exist
cpu.sgxattribute  DEPRECATED: replaced by cpu.security feature
  enabledboolDEPRECATED: use sgx.enabled from cpu.security instead
cpu.sstattribute  Intel SST (Speed Select Technology) capabilities
  bf.enabledbooltrue if Intel SST-BF (Intel Speed Select Technology - Base frequency) has been enabled, otherwise does not exist
cpu.seattribute  DEPRECATED: replaced by cpu.security feature
  enabledboolDEPRECATED: use se.enabled from cpu.security instead
cpu.topologyattribute  CPU topology related features
  hardware_multithreadingboolHardware multithreading, such as Intel HTT, is enabled
cpu.coprocessorattribute  CPU Coprocessor related features
  nx_gzipboolNest Accelerator GZIP support is enabled
kernel.configattribute  Kernel configuration options
  <config-flag>stringValue of the kconfig option
kernel.loadedmoduleflag  Kernel modules loaded on the node as reported by /proc/modules
kernel.enabledmoduleflag  Kernel modules loaded on the node and available as built-ins as reported by modules.builtin
  mod-name Kernel module <mod-name> is loaded
kernel.selinuxattribute  Kernel SELinux related features
  enabledbooltrue if SELinux has been enabled and is in enforcing mode, otherwise false
kernel.versionattribute  Kernel version information
  fullstringFull kernel version (e.g. ‘4.5.6-7-g123abcde’)
  majorintFirst component of the kernel version (e.g. ‘4’)
  minorintSecond component of the kernel version (e.g. ‘5’)
  revisionintThird component of the kernel version (e.g. ‘6’)
local.labelattribute  Features from hooks and feature files, i.e. labels from the local feature source
  <label-name>stringLabel <label-name> created by the local feature source, value equals the value of the label
memory.nvinstance  NVDIMM devices present in the system
  <sysfs-attribute>stringValue of the sysfs device attribute, available attributes: devtype, mode
memory.numaattribute  NUMA nodes
  is_numabooltrue if NUMA architecture, false otherwise
  node_countintNumber of NUMA nodes
network.deviceinstance  Physical (non-virtual) network interfaces present in the system
  namestringName of the network interface
  <sysfs-attribute>stringSysfs network interface attribute, available attributes: operstate, speed, sriov_numvfs, sriov_totalvfs
pci.deviceinstance  PCI devices present in the system
  <sysfs-attribute>stringValue of the sysfs device attribute, available attributes: class, vendor, device, subsystem_vendor, subsystem_device, sriov_totalvfs, iommu_group/type, iommu/intel-iommu/version
storage.deviceinstance  Block storage devices present in the system
  namestringName of the block device
  <sysfs-attribute>stringSysfs network interface attribute, available attributes: dax, rotational, nr_zones, zoned
system.osreleaseattribute  System identification data from /etc/os-release
  <parameter>stringOne parameter from /etc/os-release
system.nameattribute  System name information
  nodenamestringName of the kubernetes node object
usb.deviceinstance  USB devices present in the system
  <sysfs-attribute>stringValue of the sysfs device attribute, available attributes: class, vendor, device, serial
rule.matchedattribute  Previously matched rules
  <label-or-var>stringLabel or var from a preceding rule that matched
\n\n

Intel RDT flags

\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
FlagDescription
RDTMONIntel RDT Monitoring Technology
RDTCMTIntel Cache Monitoring (CMT)
RDTMBMIntel Memory Bandwidth Monitoring (MBM)
RDTL3CAIntel L3 Cache Allocation Technology
RDTl2CAIntel L2 Cache Allocation Technology
RDTMBAIntel Memory Bandwidth Allocation (MBA) Technology
\n\n

Templating

\n\n

Rules support template-based creation of labels and vars with the\n.labelsTemplate and .varsTemplate fields. These makes it possible to\ndynamically generate labels and vars based on the features that matched.

\n\n

The template must expand into a simple format with <key>=<value> pairs\nseparated by newline.

\n\n

Consider the following example:\n

\n\n
    labelsTemplate: |\n      {{ range .pci.device }}vendor-{{ .class }}-{{ .device }}.present=true\n      {{ end }}\n    matchFeatures:\n      - feature: pci.device\n        matchExpressions:\n          class: {op: InRegexp, value: [\"^02\"]}\n          vendor: [\"0fff\"]\n
\n\n\n

The rule above will create individual labels\nfeature.node.kubernetes.io/vendor-<class-id>-<device-id>.present=true for\neach network controller device (device class starting with 02) from vendor\n0ffff.

\n\n

All the matched features of each feature matcher term under matchFeatures\nfields are available for the template engine. Matched features can be\nreferenced with {{ .<feature-name> }} in the template, and\nthe available data could be described in yaml as follows:

\n\n
.\n  <key-feature>:\n    - Name: <matched-key>\n    - ...\n\n  <value-feature>:\n    - Name: <matched-key>\n      Value: <matched-value>\n    - ...\n\n  <instance-feature>:\n    - <attribute-1-name>: <attribute-1-value>\n      <attribute-2-name>: <attribute-2-value>\n      ...\n    - ...\n
\n\n

That is, the per-feature data is a list of objects whose data fields depend on\nthe type of the feature:

\n\n\n\n

A simple example of a template utilizing name and value from an attribute\nfeature:\n

\n\n
    labelsTemplate: |\n      {{ range .system.osrelease }}system-{{ .Name }}={{ .Value }}\n      {{ end }}\n    matchFeatures:\n      - feature: system.osRelease\n        matchExpressions:\n          ID: {op: Exists}\n          VERSION_ID.major: {op: Exists}\n
\n\n\n

NOTE In case of matchAny is specified, the template is executed separately\nagainst each individual matchFeatures field and the final set of labels will\nbe superset of all these separate template expansions. E.g. consider the\nfollowing:

\n\n
  - name: <name>\n    labelsTemplate: <template>\n    matchFeatures: <matcher#1>\n    matchAny:\n      - matchFeatures: <matcher#2>\n      - matchFeatures: <matcher#3>\n
\n\n

In the example above (assuming the overall result is a match) the template\nwould be executed on matcher#1 as well as on matcher#2 and/or matcher#3\n(depending on whether both or only one of them match). All the labels from\nthese separate expansions would be created, i.e. the end result would be a\nunion of all the individual expansions.

\n\n

Rule templates use the Golang text/template\npackage and all its built-in functionality (e.g. pipelines and functions) can\nbe used. An example template taking use of the built-in len function,\nadvertising the number of PCI network controllers from a specific vendor:\n

\n\n
    labelsTemplate: |\n      num-intel-network-controllers={{ .pci.device | len }}\n    matchFeatures:\n      - feature: pci.device\n        matchExpressions:\n          vendor: {op: In, value: [\"8086\"]}\n          class: {op: In, value: [\"0200\"]}\n\n
\n\n\n

Imaginative template pipelines are possible, but care must be taken in order to\nproduce understandable and maintainable rule sets.

\n\n

Backreferences

\n\n

Rules support referencing the output of preceding rules. This enables\nsophisticated scenarios where multiple rules are combined together\nto for more complex heuristics than a single rule can provide. The labels and\nvars created by the execution of preceding rules are available as a special\nrule.matched feature.

\n\n

Consider the following configuration:

\n\n
  - name: \"my kernel label rule\"\n    labels:\n      kernel-feature: \"true\"\n    matchFeatures:\n      - feature: kernel.version\n        matchExpressions:\n          major: {op: Gt, value: [\"4\"]}\n\n  - name: \"my var rule\"\n    vars:\n      nolabel-feature: \"true\"\n    matchFeatures:\n      - feature: cpu.cpuid\n        matchExpressions:\n          AVX512F: {op: Exists}\n      - feature: pci.device\n        matchExpressions:\n          vendor: {op: In, value: [\"0fff\"]}\n          device: {op: In, value: [\"1234\", \"1235\"]}\n\n  - name: \"my high level feature rule\"\n    labels:\n      high-level-feature: \"true\"\n    matchFeatures:\n      - feature: rule.matched\n        matchExpressions:\n          kernel-feature: {op: IsTrue}\n          nolabel-feature: {op: IsTrue}\n
\n\n

The feature.node.kubernetes.io/high-level-feature = true label depends on thw\ntwo previous rules.

\n\n

Note that when referencing rules across multiple\nNodeFeatureRule objects attention must be\npaid to the ordering. NodeFeatureRule objects are processed in alphabetical\norder (based on their .metadata.name).

\n\n

Examples

\n\n

Some more configuration examples below.

\n\n

Match certain CPUID features:

\n\n
  - name: \"example cpuid rule\"\n    labels:\n      my-special-cpu-feature: \"true\"\n    matchFeatures:\n      - feature: cpu.cpuid\n        matchExpressions:\n          AESNI: {op: Exists}\n          AVX: {op: Exists}\n
\n\n

Require a certain loaded kernel module and OS version:

\n\n
  - name: \"my multi-feature rule\"\n    labels:\n      my-special-multi-feature: \"true\"\n    matchFeatures:\n      - feature: kernel.loadedmodule\n        matchExpressions:\n          e1000: {op: Exists}\n      - feature: system.osrelease\n        matchExpressions:\n          NAME: {op: InRegexp, values: [\"^openSUSE\"]}\n          VERSION_ID.major: {op: Gt, values: [\"14\"]}\n
\n\n

Require a loaded kernel module and two specific PCI devices (both of which\nmust be present):

\n\n
  - name: \"my multi-device rule\"\n    labels:\n      my-multi-device-feature: \"true\"\n    matchFeatures:\n      - feature: kernel.loadedmodule\n        matchExpressions:\n          my-driver-module: {op: Exists}\n      - pci.device:\n          vendor: \"0fff\"\n          device: \"1234\"\n      - pci.device:\n          vendor: \"0fff\"\n          device: \"abcd\"\n
\n\n

Legacy custom rule syntax

\n\n

DEPRECATED: use the new rule syntax instead.

\n\n

The custom source supports the legacy matchOn rule syntax for\nbackwards-compatibility.

\n\n

To aid in making the legacy rule syntax clearer, we define a general and a per\nrule nomenclature, keeping things as consistent as possible.

\n\n

General nomenclature and definitions

\n\n
Rule        :Represents a matching logic that is used to match on a feature.\nRule Input  :The input a Rule is provided. This determines how a Rule performs the match operation.\nMatcher     :A composition of Rules, each Matcher may be composed of at most one instance of each Rule.\n
\n\n

Custom features format (using the nomenclature defined above)

\n\n

Rules are specified under sources.custom in the nfd-worker configuration\nfile.

\n\n
sources:\n  custom:\n  - name: <feature name>\n    value: <optional feature value, defaults to \"true\">\n    matchOn:\n    - <Rule-1>: <Rule-1 Input>\n      [<Rule-2>: <Rule-2 Input>]\n    - <Matcher-2>\n    - ...\n    - ...\n    - <Matcher-N>\n  - <custom feature 2>\n  - ...\n  - ...\n  - <custom feature M>\n
\n\n

The label is constructed by adding custom- prefix to the name field, label\nvalue defaults to true if not specified in the rule spec:

\n\n
feature.node.kubernetes.io/custom-<name> = <value>\n
\n\n

Matching process

\n\n

Specifying Rules to match on a feature is done by providing a list of Matchers.\nEach Matcher contains one or more Rules.

\n\n

Logical OR is performed between Matchers and logical AND is performed\nbetween Rules of a given Matcher.

\n\n

Rules

\n\n

pciid rule

\n\n
Nomenclature
\n\n
Attribute   :A PCI attribute.\nElement     :An identifier of the PCI attribute.\n
\n\n

The PciId Rule allows matching the PCI devices in the system on the following\nAttributes: class,vendor and device. A list of Elements is provided for\neach Attribute.

\n\n
Format
\n\n
pciId :\n  class: [<class id>, ...]\n  vendor: [<vendor id>,  ...]\n  device: [<device id>, ...]\n
\n\n

Matching is done by performing a logical OR between Elements of an Attribute\nand logical AND between the specified Attributes for each PCI device in the\nsystem. At least one Attribute must be specified. Missing attributes will not\npartake in the matching process.

\n\n

UsbId rule

\n\n
Nomenclature
\n\n
Attribute   :A USB attribute.\nElement     :An identifier of the USB attribute.\n
\n\n

The UsbId Rule allows matching the USB devices in the system on the following\nAttributes: class,vendor, device and serial. A list of Elements is\nprovided for each Attribute.

\n\n
Format
\n\n
usbId :\n  class: [<class id>, ...]\n  vendor: [<vendor id>,  ...]\n  device: [<device id>, ...]\n  serial: [<serial>, ...]\n
\n\n

Matching is done by performing a logical OR between Elements of an Attribute\nand logical AND between the specified Attributes for each USB device in the\nsystem. At least one Attribute must be specified. Missing attributes will not\npartake in the matching process.

\n\n

LoadedKMod rule

\n\n
Nomenclature
\n\n
Element     :A kernel module\n
\n\n

The LoadedKMod Rule allows matching the loaded kernel modules in the system\nagainst a provided list of Elements.

\n\n
Format
\n\n
loadedKMod : [<kernel module>, ...]\n
\n\n

Matching is done by performing logical AND for each provided Element, i.e\nthe Rule will match if all provided Elements (kernel modules) are loaded in the\nsystem.

\n\n

CpuId rule

\n\n
Nomenclature
\n\n
Element     :A CPUID flag\n
\n\n

The Rule allows matching the available CPUID flags in the system against a\nprovided list of Elements.

\n\n
Format
\n\n
cpuId : [<CPUID flag string>, ...]\n
\n\n

Matching is done by performing logical AND for each provided Element, i.e the\nRule will match if all provided Elements (CPUID flag strings) are available in\nthe system.

\n\n

Kconfig rule

\n\n
Nomenclature
\n\n
Element     :A Kconfig option\n
\n\n

The Rule allows matching the kconfig options in the system against a provided\nlist of Elements.

\n\n
Format
\n\n
kConfig: [<kernel config option ('y' or 'm') or '=<value>'>, ...]\n
\n\n

Matching is done by performing logical AND for each provided Element, i.e the\nRule will match if all provided Elements (kernel config options) are enabled\n(y or m) or matching =<value> in the kernel.

\n\n

Nodename rule

\n\n
Nomenclature
\n\n
Element     :A nodename regexp pattern\n
\n\n

The Rule allows matching the node’s name against a provided list of Elements.

\n\n
Format
\n\n
nodename: [ <nodename regexp pattern>, ... ]\n
\n\n

Matching is done by performing logical OR for each provided Element, i.e the\nRule will match if one of the provided Elements (nodename regexp pattern)\nmatches the node’s name.

\n\n

Legacy custom rule example

\n\n
custom:\n  - name: \"my.kernel.feature\"\n    matchOn:\n      - loadedKMod: [\"kmod1\", \"kmod2\"]\n  - name: \"my.pci.feature\"\n    matchOn:\n      - pciId:\n          vendor: [\"15b3\"]\n          device: [\"1014\", \"1017\"]\n  - name: \"my.usb.feature\"\n    matchOn:\n      - usbId:\n          vendor: [\"1d6b\"]\n          device: [\"0003\"]\n          serial: [\"090129a\"]\n  - name: \"my.combined.feature\"\n    matchOn:\n      - loadedKMod : [\"vendor_kmod1\", \"vendor_kmod2\"]\n        pciId:\n          vendor: [\"15b3\"]\n          device: [\"1014\", \"1017\"]\n  - name: \"vendor.feature.node.kubernetes.io/accumulated.feature\"\n    matchOn:\n      - loadedKMod : [\"some_kmod1\", \"some_kmod2\"]\n      - pciId:\n          vendor: [\"15b3\"]\n          device: [\"1014\", \"1017\"]\n  - name: \"my.kernel.featureneedscpu\"\n    matchOn:\n      - kConfig: [\"KVM_INTEL\"]\n      - cpuId: [\"VMX\"]\n  - name: \"my.kernel.modulecompiler\"\n    matchOn:\n      - kConfig: [\"GCC_VERSION=100101\"]\n        loadedKMod: [\"kmod1\"]\n  - name: \"profile.node.kubernetes.io/my-datacenter\"\n    value: \"datacenter-1\"\n    matchOn:\n      - nodename: [ \"node-datacenter1-rack.*-server.*\" ]\n
\n\n

In the example above:

\n\n\n","dir":"/usage/","name":"customization-guide.md","path":"usage/customization-guide.md","url":"/usage/customization-guide.html"},{"title":"Examples and demos","layout":"default","sort":9,"content":"

Examples and demos

\n\n

Table of contents

\n\n
    \n
  1. Demos
      \n
    1. Usage demo
    2. \n
    3. Demo use case
    4. \n
    \n
  2. \n
\n\n
\n\n

This page contains usage examples and demos.

\n\n

Demos

\n\n

Usage demo

\n\n

\"asciicast\"

\n\n

Demo use case

\n\n

A demo on the benefits of using node feature discovery can be found in the\nsource code repository under\ndemo/.

\n","dir":"/usage/","name":"examples-and-demos.md","path":"usage/examples-and-demos.md","url":"/usage/examples-and-demos.html"}]