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node-feature-discovery/README.md

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# Node feature discovery for [Kubernetes](https://kubernetes.io)
[![Build Status](https://api.travis-ci.org/kubernetes-incubator/node-feature-discovery.svg?branch=master)](https://travis-ci.com/kubernetes-incubator/node-feature-discovery)
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[![Go Report Card](https://goreportcard.com/badge/github.com/kubernetes-incubator/node-feature-discovery)](https://goreportcard.com/report/github.com/kubernetes-incubator/node-feature-discovery)
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- [Overview](#overview)
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- [Command line interface](#command-line-interface)
- [Feature discovery](#feature-discovery)
- [Feature sources](#feature-sources)
- [Feature labels](#feature-labels)
- [Getting started](#getting-started)
- [System requirements](#system-requirements)
- [Usage](#usage)
- [Building from source](#building-from-source)
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- [Targeting nodes with specific features](#targeting-nodes-with-specific-features)
- [References](#references)
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- [License](#license)
- [Demo](#demo)
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_**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](https://github.com/kubernetes-incubator/node-feature-discovery/wiki/Users) with as much detail as you are comfortable providing (name and email optional)._
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## 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](https://github.com/kubernetes-incubator/node-feature-discovery/milestones) for release planning.
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## Command line interface
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```
node-feature-discovery.
Usage:
node-feature-discovery [--no-publish --sources=<sources> --label-whitelist=<pattern>]
node-feature-discovery -h | --help
node-feature-discovery --version
Options:
-h --help Show this screen.
--version Output version and exit.
--sources=<sources> Comma separated list of feature sources.
[Default: cpuid,rdt,pstate]
--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: ]
```
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## Feature discovery
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### Feature sources
The current set of feature sources are the following:
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- [CPUID][cpuid] for x86 CPU details
- [Intel Resource Director Technology][intel-rdt]
- [Intel P-State driver][intel-pstate]
### Feature labels
The published node labels encode a few pieces of information:
- A "namespace" (e.g. `node.alpha.kubernetes-incubator.io/nfd`).
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- 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).
_Note: only features that are available on a given node are labeled, so
the only label value published for features is the string `"true"`._
```json
{
"node.alpha.kubernetes-incubator.io/node-feature-discovery.version": "v0.1.0",
"node.alpha.kubernetes-incubator.io/nfd-cpuid-<feature-name>": "true",
"node.alpha.kubernetes-incubator.io/nfd-rdt-<feature-name>": "true",
"node.alpha.kubernetes-incubator.io/nfd-pstate-<feature-name>": "true"
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}
```
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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._
### Intel Resource Director Technology (RDT) Features
| Feature name | Description |
| :------------: | :---------------------------------------------------------------------------------: |
| RDTMON | Intel Cache Monitoring Technology (CMT) and Intel Memory Bandwidth Monitoring (MBM)
| RDTL3CA | Intel L3 Cache Allocation Technology
| RDTL2CA | Intel L2 Cache Allocation Technology
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### 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)
## Getting started
### System requirements
1. Linux (x86_64)
1. [kubectl] [kubectl-setup] (properly set up and configured to work with your
Kubernetes cluster)
1. [Docker] [docker-down] (only required to build and push docker images)
### Usage
Feature discovery is done as a one-shot job. There is an example script in this
repo that demonstrates how to deploy the job to unlabeled nodes.
```
./label-nodes.sh
```
The discovery script will launch a job on each unlabeled node in the
cluster. When the job runs, it contacts the Kubernetes API server to add labels
to the node to advertise hardware features (initially, from `cpuid`, RDT and p-state).
[![asciicast](https://asciinema.org/a/11wir751y89617oemwnsgli4a.png)](https://asciinema.org/a/11wir751y89617oemwnsgli4a)
## Building from source
Download the source code.
```
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git clone https://github.com/kubernetes-incubator/node-feature-discovery
```
**Build the Docker 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 docker -e`**
Push the Docker Image (optional)
```
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 line 40 in the file
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[node-feature-discovery-job.json.template](node-feature-discovery-job.json.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.
```json
{
"apiVersion": "v1",
"kind": "Pod",
"metadata": {
"labels": {
"env": "test"
},
"name": "golang-test"
},
"spec": {
"containers": [
{
"image": "golang",
"name": "go1",
}
],
"nodeSelector": {
"node.alpha.kubernetes-incubator.io/nfd-pstate-turbo": "true"
}
}
}
```
For more details on targeting nodes, see [node selection][node-sel].
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## References
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Github issues
- [#28310](https://github.com/kubernetes/kubernetes/issues/28310)
- [#28311](https://github.com/kubernetes/kubernetes/issues/28311)
- [#28312](https://github.com/kubernetes/kubernetes/issues/28312)
[Design proposal](https://docs.google.com/document/d/1uulT2AjqXjc_pLtDu0Kw9WyvvXm-WAZZaSiUziKsr68/edit)
## Kubernetes Incubator
This is a [Kubernetes Incubator project](https://github.com/kubernetes/community/blob/master/incubator.md). 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
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## License
This is open source software released under the [Apache 2.0 License](LICENSE).
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## Demo
A demo on the benefits of using node feature discovery can be found in [demo](demo/).
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<!-- Links -->
[cpuid]: http://man7.org/linux/man-pages/man4/cpuid.4.html
[intel-rdt]: http://www.intel.com/content/www/us/en/architecture-and-technology/resource-director-technology.html
[intel-pstate]: https://www.kernel.org/doc/Documentation/cpu-freq/intel-pstate.txt
[docker-down]: https://docs.docker.com/engine/installation
[golang-down]: https://golang.org/dl
[gcc-down]: https://gcc.gnu.org
[kubectl-setup]: https://coreos.com/kubernetes/docs/latest/configure-kubectl.html
[node-sel]: http://kubernetes.io/docs/user-guide/node-selection