demo | ||
rdt-discovery | ||
source | ||
.dockerignore | ||
.gitignore | ||
.travis.yml | ||
code-of-conduct.md | ||
CONTRIBUTING.md | ||
Dockerfile | ||
glide.lock | ||
glide.yaml | ||
label-nodes.sh | ||
LICENSE | ||
main.go | ||
main_test.go | ||
Makefile | ||
mockapihelpers.go | ||
mockfeaturesource.go | ||
node-feature-discovery-daemonset.yaml.template | ||
node-feature-discovery-job.yaml.template | ||
node-feature-discovery.conf.example | ||
OWNERS | ||
rbac.yaml | ||
README.md | ||
RELEASE.md |
Node feature discovery for Kubernetes
- Overview
- Command line interface
- Feature discovery
- Getting started
- Building from source
- Targeting nodes with specific features
- References
- License
- Demo
NOTE: We are gathering evidence in order to graduate from the Kubernetes incubator. If you are a user of the project, please add yourself to this list with as much detail as you are comfortable providing (name and email optional).
Overview
This software enables node feature discovery for Kubernetes. It detects hardware features available on each node in a Kubernetes cluster, and advertises those features using node labels.
This project uses GitHub milestones for release planning.
Command line interface
To try out stand-alone, one can run a Docker container where node-feature-discovery is already set as entry point. Such run is useful for checking features-detection part, but labeling part is expected to fail. It is recommended to use --no-publish and --oneshot to achieve clean run in stand-alone case.
node-feature-discovery.
Usage:
node-feature-discovery [--no-publish] [--sources=<sources>] [--label-whitelist=<pattern>]
[--oneshot | --sleep-interval=<seconds>] [--config=<path>]
[--options=<config>]
node-feature-discovery -h | --help
node-feature-discovery --version
Options:
-h --help Show this screen.
--version Output version and exit.
--config=<path> Config file to use.
[Default: /etc/kubernetes/node-feature-discovery/node-feature-discovery.conf]
--options=<config> Specify config options from command line. Config
options are specified in the same format as in the
config file (i.e. json or yaml). These options
will override settings read from the config file.
[Default: ]
--sources=<sources> Comma separated list of feature sources.
[Default: cpuid,iommu,kernel,memory,network,pci,pstate,rdt,selinux,storage]
--no-publish Do not publish discovered features to the
cluster-local Kubernetes API server.
--label-whitelist=<pattern> Regular expression to filter label names to
publish to the Kubernetes API server. [Default: ]
--oneshot Label once and exit.
--sleep-interval=<seconds> Time to sleep between re-labeling. Non-positive
value implies no re-labeling (i.e. infinite
sleep). [Default: 60s]
NOTE Some feature sources need certain directories and/or files from the
host mounted inside the NFD container. Thus, you need to provide Docker with the
correct --volume
options in order for them to work correctly when run
stand-alone directly with docker run
. See the
template spec
for up-to-date information about the required volume mounts.
Feature discovery
Feature sources
The current set of feature sources are the following:
- CPUID for x86/Arm64 CPU details
- IOMMU
- Kernel
- Memory
- Network
- Pstate (Intel P-State driver)
- RDT (Intel Resource Director Technology)
- Selinux
- Storage
Feature labels
The published node labels encode a few pieces of information:
- Namespace, i.e.
feature.node.kubernetes.io
- The version of this discovery code that wrote the label, according to
git describe --tags --dirty --always
. - The source for each label (e.g.
cpuid
). - The name of the discovered feature as it appears in the underlying
source, (e.g.
AESNI
from cpuid). - The value of the discovered feature.
Feature label names adhere to the following pattern:
<namespace>/nfd-<source name>-<feature name>[.<attribute name>]
The last component (i.e. attribute-name
) is optional, and only used if a
feature logically has sub-hierarchy, e.g. sriov.capable
and
sriov.configure
from the network
source.
Note: only features that are available on a given node are labeled, so
the only label value published for features is the string "true"
.
{
"feature.node.kubernetes.io/node-feature-discovery.version": "v0.3.0",
"feature.node.kubernetes.io/nfd-cpuid-<feature-name>": "true",
"feature.node.kubernetes.io/nfd-iommu-<feature-name>": "true",
"feature.node.kubernetes.io/nfd-kernel-version.<version component>": "<version number>",
"feature.node.kubernetes.io/nfd-memory-<feature-name>": "true",
"feature.node.kubernetes.io/nfd-network-<feature-name>": "true",
"feature.node.kubernetes.io/nfd-pci-<device label>.present": "true",
"feature.node.kubernetes.io/nfd-pstate-<feature-name>": "true",
"feature.node.kubernetes.io/nfd-rdt-<feature-name>": "true",
"feature.node.kubernetes.io/nfd-selinux-<feature-name>": "true",
"feature.node.kubernetes.io/nfd-storage-<feature-name>": "true"
}
The --sources
flag controls which sources to use for discovery.
Note: Consecutive runs of node-feature-discovery will update the labels on a given node. If features are not discovered on a consecutive run, the corresponding label will be removed. This includes any restrictions placed on the consecutive run, such as restricting discovered features with the --label-whitelist option.
X86 CPUID Features (Partial List)
Feature name | Description |
---|---|
ADX | Multi-Precision Add-Carry Instruction Extensions (ADX) |
AESNI | Advanced Encryption Standard (AES) New Instructions (AES-NI) |
AVX | Advanced Vector Extensions (AVX) |
AVX2 | Advanced Vector Extensions 2 (AVX2) |
BMI1 | Bit Manipulation Instruction Set 1 (BMI) |
BMI2 | Bit Manipulation Instruction Set 2 (BMI2) |
SSE4.1 | Streaming SIMD Extensions 4.1 (SSE4.1) |
SSE4.2 | Streaming SIMD Extensions 4.2 (SSE4.2) |
SGX | Software Guard Extensions (SGX) |
Arm64 CPUID Features (Partial List)
Feature name | Description |
---|---|
AES | Announcing the Advanced Encryption Standard |
EVSTRM | Event Stream Frequency Features |
FPHP | Half Precision(16bit) Floating Point Data Processing Instructions |
ASIMDHP | Half Precision(16bit) Asimd Data Processing Instructions |
ATOMICS | Atomic Instructions to the A64 |
ASIMRDM | Support for Rounding Double Multiply Add/Subtract |
PMULL | Optional Cryptographic and CRC32 Instructions |
JSCVT | Perform Conversion to Match Javascript |
DCPOP | Persistent Memory Support |
IOMMU Features
Feature name | Description |
---|---|
enabled | IOMMU is present and enabled in the kernel |
Kernel Features
Feature | Attribute | Description |
---|---|---|
version | full | Full kernel version as reported by /proc/sys/kernel/osrelease (e.g. '4.5.6-7-g123abcde') |
major | First component of the kernel version (e.g. '4') | |
minor | Second component of the kernel version (e.g. '5') | |
revision | Third component of the kernel version (e.g. '6') |
Memory Features
Feature name | Description |
---|---|
numa | Multiple memory nodes i.e. NUMA architecture detected |
Network Features
Feature | Attribute | Description |
---|---|---|
sriov | capable | Single Root Input/Output Virtualization (SR-IOV) enabled Network Interface Card(s) present |
configured | SR-IOV virtual functions have been configured |
PCI Features
Feature | Attribute | Description |
---|---|---|
<device label> | present | PCI device is detected |
The <device label>
part is composed of raw PCI IDs, separated by dashes.
The set of fields used in <device label>
is configurable, valid fields being
class
, vendor
, device
, subsystem_vendor
and subsystem_device
.
Defaults fields are class
and vendor
. An example label using the default
label fields:
feature.node.kubernetes.io/nfd-pci-1200_8086.present=true
Also the set of PCI device classes that the feature source detects is configurable. By default, device classes (0x)03, (0x)0b40 and (0x)12, i.e. GPUs, co-processors and accelerator cards are deteted.
See configuration options for more information on NFD config.
RDT (Intel Resource Director Technology) Features
Feature name | Description |
---|---|
RDTMON | Intel RDT Monitoring Technology |
RDTCMT | Intel Cache Monitoring (CMT) |
RDTMBM | Intel Memory Bandwidth Monitoring (MBM) |
RDTL3CA | Intel L3 Cache Allocation Technology |
RDTL2CA | Intel L2 Cache Allocation Technology |
RDTMBA | Intel Memory Bandwidth Allocation (MBA) Technology |
Selinux Features
Feature name | Description |
---|---|
selinux | selinux is enabled on the node |
Storage Features
Feature name | Description |
---|---|
nonrotationaldisk | Non-rotational disk, like SSD, is present in the node |
Getting started
System requirements
- Linux (x86_64/Arm64)
- [kubectl] kubectl-setup (properly set up and configured to work with your Kubernetes cluster)
- [Docker] docker-down (only required to build and push docker images)
Usage
Feature discovery is preferably run as a Kubernetes DaemonSet. There is an example spec that can be used as a template, or, as is when just trying out the service:
kubectl create -f rbac.yaml
kubectl create -f node-feature-discovery-daemonset.yaml.template
When the job runs, it contacts the Kubernetes API server to add labels to the node to advertise hardware features.
If you have RBAC authorization enabled (as is the default e.g. with clusters initialized with kubeadm) you need to configure the appropriate ClusterRoles, ClusterRoleBindings and a ServiceAccount in order for NFD to create node labels. The provided templates will configure these for you.
When run as a daemonset, nodes are re-labeled at an interval specified using
the --sleep-interval
option. In the template the default interval is set to 60s
which is also the default when no --sleep-interval
is specified.
Feature discovery can alternatively be configured as a one-shot job. There is an example script in this repo that demonstrates how to deploy the job in the cluster.
./label-nodes.sh
The label-nodes.sh script tries to launch as many jobs as there are Ready nodes. Note that this approach does not guarantee running once on every node. For example, if some node is tainted NoSchedule or fails to start a job for some other reason, then some other node will run extra job instance(s) to satisfy the request and the tainted/failed node does not get labeled.
Configuration options
NFD supports a configuration file. The default location is
/etc/kubernetes/node-feature-discovery/node-feature-discovery.conf
, but,
this can be changed by specifying the--config
command line flag. The file is
read inside the Docker image, and thus, Volumes and VolumeMounts are needed to
make your configuration available for NFD. The preferred method is to use a
ConfigMap.
For example, create a config map using the example config as a template:
cp node-feature-discovery.conf.example node-feature-discovery.conf
vim node-feature-discovery.conf # edit the configuration
kubectl create configmap node-feature-discovery-config --from-file=node-feature-discovery.conf
Then, configure Volumes and VolumeMounts in the Pod spec (just the relevant snippets shown below):
...
containers:
volumeMounts:
- name: node-feature-discovery-config
mountPath: "/etc/kubernetes/node-feature-discovery/"
...
volumes:
- name: node-feature-discovery-config
configMap:
name: node-feature-discovery-config
...
You could also use other types of volumes, of course. That is, hostPath if different config for different nodes would be required, for example.
The (empty-by-default) example config is used as a config in the NFD Docker image. Thus, this can be used as a default configuration in custom-built images.
Configuration options can also be specified via the --options
command line
flag, in which case no mounts need to be used. The same format as in the config
file must be used, i.e. JSON (or YAML). For example:
--options='{"sources": { "pci": { "deviceClassWhitelist": ["12"] } } }'
Configuration options specified from the command line will override those read from the config file.
Currently, the only available configuration options are related to the PCI feature source.
Building from source
Download the source code.
git clone https://github.com/kubernetes-incubator/node-feature-discovery
Build the container image:
cd <project-root>
make
NOTE: Our default docker image is hosted in quay.io. To override the
QUAY_REGISTRY_USER
use the -e
option as follows:
QUAY_REGISTRY_USER=<my-username> make image -e
You can also specify a build tool different from Docker, for example:
make IMAGE_BUILD_CMD="buildah bud"
Push the container image (optional, this example with Docker)
docker push <quay-domain-name>/<registry-user>/<image-name>:<version>
Change the job spec to use your custom image (optional):
To use your published image from the step above instead of the
quay.io/kubernetes_incubator/node-feature-discovery
image, edit image
attribute in the file
node-feature-discovery-job.yaml.template
to the new location (<quay-domain-name>/<registry-user>/<image-name>[:<version>]
).
Targeting Nodes with Specific Features
Nodes with specific features can be targeted using the nodeSelector
field. The
following example shows how to target nodes with Intel TurboBoost enabled.
apiVersion: v1
kind: Pod
metadata:
labels:
env: test
name: golang-test
spec:
containers:
- image: golang
name: go1
nodeSelector:
feature.node.kubernetes.io/nfd-pstate-turbo: 'true'
For more details on targeting nodes, see node selection.
References
Github issues
Kubernetes Incubator
This is a Kubernetes Incubator project. The project was established 2016-08-29. The incubator team for the project is:
- Sponsor: Dawn Chen (@dchen1107)
- Champion: David Oppenheimer (@davidopp)
- SIG: sig-node
License
This is open source software released under the Apache 2.0 License.
Demo
A demo on the benefits of using node feature discovery can be found in demo.