Node Feature Discovery
This documentation is for Node Feature Discovery version that is no longer supported. Please upgrade and visit the documentation of the latest stable release.

# Deployment and usage

## Table of contents

## Requirements

1. Linux (x86_64/Arm64/Arm)
2. kubectl v1.21 or later (properly set up and configured to work with your Kubernetes cluster)

## Image variants

NFD currently offers two variants of the container image. The "full" variant is currently deployed by default.

### Full

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

### Minimal

This is a minimal image based on gcr.io/distroless/base and only supports running statically linked binaries.

The container image tag has suffix `-minimal` (e.g. `k8s.gcr.io/nfd/node-feature-discovery:v0.9.0-minimal`)

## Deployment options

### Operator

Deployment using the Node Feature Discovery Operator is recommended to be done via operatorhub.io.

1. You need to have OLM installed. If you don't, take a look at the latest release for detailed instructions.

2. Install the operator:

       kubectl create -f https://operatorhub.io/install/nfd-operator.yaml

3. Create `NodeFeatureDiscovery` object (in `nfd` namespace here):

       cat << EOF | kubectl apply -f -
       apiVersion: v1
       kind: Namespace
       metadata:
         name: nfd
       ---
       apiVersion: nfd.kubernetes.io/v1
       kind: NodeFeatureDiscovery
       metadata:
         name: my-nfd-deployment
         namespace: nfd
       spec:
         operand:
           namespace: nfd
           image: k8s.gcr.io/nfd/node-feature-discovery:v0.9.0
           imagePullPolicy: IfNotPresent
       EOF

In order to deploy the minimal image you need to use

      image: k8s.gcr.io/nfd/node-feature-discovery:v0.9.0-minimal

in the `NodeFeatureDiscovery` object above.

### Deployment with kustomize

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

    kubectl apply -k https://github.com/kubernetes-sigs/node-feature-discovery/deployment/overlays/default?ref=v0.9.0

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

Alternatively you can clone the repository and customize the deployment by creating your own overlays. For example, to deploy the minimal image. See kustomize for more information about managing deployment configurations.

#### Default overlays

The NFD repository hosts a set of overlays for different usages and deployment scenarios under `deployment/overlays`

- `default`: default deployment of nfd-worker as a daemonset, descibed above
- `default-combined` see Master-worker pod below
- `default-job`: see Worker one-shot below
- `prune`: clean up the cluster after uninstallation, see Removing feature labels
- `samples/cert-manager`: an example for supplementing the default deployment with cert-manager for TLS authentication, see Automated TLS certificate management using cert-manager for details
- `samples/custom-rules`: an example for spicing up the default deployment with a separately managed configmap of custom labeling rules, see Custom feature source for more information about custom node labels

#### Master-worker pod

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

    kubectl apply -k https://github.com/kubernetes-sigs/node-feature-discovery/deployment/overlays/default-combined?ref=v0.9.0

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

#### Worker one-shot

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

    NUM_NODES=$(kubectl get no -o jsonpath='{.items[*].metadata.name}' | wc -w)
    kubectl kustomize https://github.com/kubernetes-sigs/node-feature-discovery/deployment/overlays/default-job?ref=v0.9.0 | \
        sed s"/NUM_NODES/$NUM_NODES/" | \
        kubectl apply -f -

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

### Deployment with Helm

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

#### Prerequisites

Helm package manager should be installed.

#### Deployment

To install the latest stable version:

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

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

    git clone https://github.com/kubernetes-sigs/node-feature-discovery/
    cd node-feature-discovery/deployment/helm
    export NFD_NS=node-feature-discovery
    helm install node-feature-discovery ./node-feature-discovery/ --namespace $NFD_NS --create-namespace

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

In order to deploy the minimal image you need to override the image tag:

    helm install node-feature-discovery ./node-feature-discovery/ --set image.tag=v0.9.0-minimal --namespace $NFD_NS --create-namespace

#### Configuration

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

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

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

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

#### Uninstalling the chart

To uninstall the `node-feature-discovery` deployment:

    export NFD_NS=node-feature-discovery
    helm uninstall node-feature-discovery --namespace $NFD_NS

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

#### Chart parameters

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

##### General parameters

Name | Type | Default | description
--- | --- | --- | ---
`image.repository` | string | `k8s.gcr.io/nfd/node-feature-discovery` | NFD image repository
`image.tag` | string | `v0.9.0` | NFD image tag
`image.pullPolicy` | string | `Always` | Image pull policy
`imagePullSecrets` | list | [] | ImagePullSecrets is an optional list of references to secrets in the same namespace to use for pulling any of the images used by this PodSpec. If specified, these secrets will be passed to individual puller implementations for them to use. For example, in the case of docker, only DockerConfig type secrets are honored. More info
`serviceAccount.create` | bool | true | Specifies whether a service account should be created
`serviceAccount.annotations` | dict | {} | Annotations to add to the service account
`serviceAccount.name` | string |  | The name of the service account to use. If not set and create is true, a name is generated using the fullname template
`rbac` | dict |  | RBAC parameteres
`nameOverride` | string |  | Override the name of the chart
`fullnameOverride` | string |  | Override a default fully qualified app name

##### Master pod parameters

Name | Type | Default | description
--- | --- | --- | ---
`master.*` | dict |  | NFD master deployment configuration
`master.instance` | string |  | Instance name. Used to separate annotation namespaces for multiple parallel deployments
`master.extraLabelNs` | array | [] | List of allowed extra label namespaces
`master.replicaCount` | integer | 1 | Number of desired pods. This is a pointer to distinguish between explicit zero and not specified
`master.podSecurityContext` | dict | {} | SecurityContext holds pod-level security attributes and common container settings
`master.service.type` | string | ClusterIP | NFD master service type
`master.service.port` | integer | port | NFD master service port
`master.resources` | dict | {} | NFD master pod resources management
`master.nodeSelector` | dict | {} | NFD master pod node selector
`master.tolerations` | dict | Scheduling to master node is disabled | NFD master pod tolerations
`master.annotations` | dict | {} | NFD master pod metadata
`master.affinity` | dict |  | NFD master pod required node affinity

##### Worker pod parameters

Name | Type | Default | description
--- | --- | --- | ---
`worker.*` | dict |  | NFD master daemonset configuration
`worker.configmapName` | string | `nfd-worker-conf` | NFD worker pod ConfigMap name
`worker.config` | string | `` | NFD worker service configuration
`worker.podSecurityContext` | dict | {} | SecurityContext holds pod-level security attributes and common container settings
`worker.securityContext` | dict | {} | Container security settings
`worker.resources` | dict | {} | NFD worker pod resources management
`worker.nodeSelector` | dict | {} | NFD worker pod node selector
`worker.tolerations` | dict | {} | NFD worker pod node tolerations
`worker.annotations` | dict | {} | NFD worker pod metadata

### Build your own

If you want to use the latest development version (master branch) you need to build your own custom image. See the Developer Guide for instructions how to build images and deploy them on your cluster.

## Usage

### NFD-Master

NFD-Master runs as a deployment (with a replica count of 1), by default it prefers running on the cluster's master nodes but will run on worker nodes if no master nodes are found.

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

NFD-Master listens for connections from nfd-worker(s) and connects to the Kubernetes API server to add node labels advertised by them.

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

### NFD-Worker

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

When run as a daemonset, nodes are re-labeled at an default interval of 60s. This can be changed by using the `core.sleepInterval` config option (or `-sleep-interval` command line flag).

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

### Communication security with TLS

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

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

The Common Name (CN) of the nfd-master certificate must match the DNS name of the nfd-master Service of the cluster. By default, nfd-master only check that the nfd-worker has been signed by the specified root certificate (-ca-file). Additional hardening can be enabled by specifying -verify-node-name in nfd-master args, in which case nfd-master verifies that the NodeName presented by nfd-worker matches the Common Name (CN) or a Subject Alternative Name (SAN) of its certificate.

#### Automated TLS certificate management using cert-manager

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

NFD source code repository contains an example kustomize overlay that can be used to deploy NFD with cert-manager supplied certificates enabled. The instructions below describe steps how to generate a self-signed CA certificate and set up cert-manager's CA Issuer to sign `Certificate` requests for NFD components in `node-feature-discovery` namespace.

    kubectl apply -f https://github.com/jetstack/cert-manager/releases/download/v1.5.1/cert-manager.yaml
    openssl genrsa -out deployment/overlays/samples/cert-manager/tls.key 2048
    openssl req -x509 -new -nodes -key deployment/overlays/samples/cert-manager/tls.key -subj "/CN=nfd-ca" \
            -days 10000 -out deployment/overlays/samples/cert-manager/tls.crt
    kubectl apply -k deployment/overlays/samples/cert-manager

## Worker configuration

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

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

The provided nfd-worker deployment templates create an empty configmap and mount it inside the nfd-worker containers. Configuration can be edited with:

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

See nfd-worker configuration file reference for more details. The (empty-by-default) example config contains all available configuration options and can be used as a reference for creating creating a configuration.

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

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

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

## Using node labels

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

    apiVersion: v1
    kind: Pod
    metadata:
      labels:
        env: test
      name: golang-test
    spec:
      containers:
        - image: golang
          name: go1
      nodeSelector:
        feature.node.kubernetes.io/cpu-pstate.turbo: 'true'

For more details on targeting nodes, see node selection.

## Uninstallation

### Operator was used for deployment

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

    kubectl -n nfd delete NodeFeatureDiscovery my-nfd-deployment

Optionally, you can also remove the namespace:

    kubectl delete ns nfd

See the node-feature-discovery-operator and OLM project documentation for instructions for uninstalling the operator and operator lifecycle manager, respectively.

### Manual

Simplest way is to invoke `kubectl delete` on the deployment files you used. Beware that this will also delete the namespace that NFD is running in. For example, in case the default deployment from the repo was used:

    kubectl delete -k https://github.com/kubernetes-sigs/node-feature-discovery/deployment/overlays/default?ref=v0.9.0

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

    NFD_NS=node-feature-discovery
    kubectl -n $NFD_NS delete ds nfd-worker
    kubectl -n $NFD_NS delete deploy nfd-master
    kubectl -n $NFD_NS delete svc nfd-master
    kubectl -n $NFD_NS delete sa nfd-master
    kubectl delete clusterrole nfd-master
    kubectl delete clusterrolebinding nfd-master

### Removing feature labels

NFD-Master has a special `-prune` command line flag for removing all nfd-related node labels, annotations and extended resources from the cluster.

    kubectl apply -k https://github.com/kubernetes-sigs/node-feature-discovery/deployment/overlays/prune?ref=v0.9.0
    kubectl -n node-feature-discovery wait job.batch/nfd-prune --for=condition=complete && \
        kubectl delete -k https://github.com/kubernetes-sigs/node-feature-discovery/deployment/overlays/prune?ref=v0.9.0

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

Node Feature Discovery
v0.9

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The software is under the terms of Apache License 2.0.