# 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) [![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) - [Overview](#overview) - [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) - [Targeting nodes with specific features](#targeting-nodes-with-specific-features) - [References](#references) - [License](#license) - [Demo](#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](https://github.com/kubernetes-incubator/node-feature-discovery/wiki/Users) 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](https://github.com/kubernetes-incubator/node-feature-discovery/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=] [--label-whitelist=] [--oneshot | --sleep-interval=] node-feature-discovery -h | --help node-feature-discovery --version Options: -h --help Show this screen. --version Output version and exit. --sources= Comma separated list of feature sources. [Default: cpuid,iommu,memory,network,pstate,rdt,selinux,storage] --no-publish Do not publish discovered features to the cluster-local Kubernetes API server. --label-whitelist= Regular expression to filter label names to publish to the Kubernetes API server. [Default: ] --oneshot Label once and exit. --sleep-interval= Time to sleep between re-labeling. Non-positive value implies no re-labeling (i.e. infinite sleep). [Default: 60s] ``` ## Feature discovery ### Feature sources The current set of feature sources are the following: - [CPUID][cpuid] for x86/Arm64 CPU details - IOMMU - Memory - Network - Pstate ([Intel P-State driver][intel-pstate]) - RDT ([Intel Resource Director Technology][intel-rdt]) - Selinux - Storage ### Feature labels The published node labels encode a few pieces of information: - A "namespace" (e.g. `node.alpha.kubernetes-incubator.io/nfd`). - 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": "v0.2.0", "node.alpha.kubernetes-incubator.io/nfd-cpuid-": "true", "node.alpha.kubernetes-incubator.io/nfd-iommu-": "true", "node.alpha.kubernetes-incubator.io/nfd-memory-": "true", "node.alpha.kubernetes-incubator.io/nfd-network-": "true", "node.alpha.kubernetes-incubator.io/nfd-pstate-": "true", "node.alpha.kubernetes-incubator.io/nfd-rdt-": "true", "node.alpha.kubernetes-incubator.io/nfd-selinux-": "true", "node.alpha.kubernetes-incubator.io/nfd-storage-": "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 ### Memory Features | Feature name | Description | | :------------: | :---------------------------------------------------------------------------------: | | numa | Multiple memory nodes i.e. NUMA architecture detected ### Network Features | Feature name | Description | | :------------: | :---------------------------------------------------------------------------------: | | [SRIOV][sriov] | Single Root Input/Output Virtualization (SR-IOV) enabled Network Interface Card ### 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 1. Linux (x86_64/Arm64) 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 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.json.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](https://github.com/kubernetes-incubator/node-feature-discovery/blob/master/node-feature-discovery-daemonset.json.template#L38) 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. [![asciicast](https://asciinema.org/a/11wir751y89617oemwnsgli4a.png)](https://asciinema.org/a/11wir751y89617oemwnsgli4a) ## Building from source Download the source code. ``` git clone https://github.com/kubernetes-incubator/node-feature-discovery ``` **Build the Docker image:** ``` cd 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= make docker -e`** Push the Docker Image (optional) ``` docker push //: ``` **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 [node-feature-discovery-job.json.template](node-feature-discovery-job.json.template) to the new location (`//[:]`). ## 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]. ## References 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 ## License This is open source software released under the [Apache 2.0 License](LICENSE). ## Demo A demo on the benefits of using node feature discovery can be found in [demo](demo/). [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 [sriov]: http://www.intel.com/content/www/us/en/pci-express/pci-sig-sr-iov-primer-sr-iov-technology-paper.html [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