Specialized hardware and driver enablement

OpenShift Container Platform 4.16

Learn about hardware enablement on OpenShift Container Platform

Red Hat OpenShift Documentation Team

Abstract

This document provides an overview of hardware enablement in OpenShift Container Platform.

Chapter 1. About specialized hardware and driver enablement

The Driver Toolkit (DTK) is a container image in the OpenShift Container Platform payload which is meant to be used as a base image on which to build driver containers. The Driver Toolkit image contains the kernel packages commonly required as dependencies to build or install kernel modules as well as a few tools needed in driver containers. The version of these packages will match the kernel version running on the RHCOS nodes in the corresponding OpenShift Container Platform release.

Driver containers are container images used for building and deploying out-of-tree kernel modules and drivers on container operating systems such as Red Hat Enterprise Linux CoreOS (RHCOS). Kernel modules and drivers are software libraries running with a high level of privilege in the operating system kernel. They extend the kernel functionalities or provide the hardware-specific code required to control new devices. Examples include hardware devices like field-programmable gate arrays (FPGA) or graphics processing units (GPU), and software-defined storage solutions, which all require kernel modules on client machines. Driver containers are the first layer of the software stack used to enable these technologies on OpenShift Container Platform deployments.

Chapter 2. Driver Toolkit

Learn about the Driver Toolkit and how you can use it as a base image for driver containers for enabling special software and hardware devices on OpenShift Container Platform deployments.

2.1. About the Driver Toolkit

Background

The Driver Toolkit is a container image in the OpenShift Container Platform payload used as a base image on which you can build driver containers. The Driver Toolkit image includes the kernel packages commonly required as dependencies to build or install kernel modules, as well as a few tools needed in driver containers. The version of these packages will match the kernel version running on the Red Hat Enterprise Linux CoreOS (RHCOS) nodes in the corresponding OpenShift Container Platform release.

Driver containers are container images used for building and deploying out-of-tree kernel modules and drivers on container operating systems like RHCOS. Kernel modules and drivers are software libraries running with a high level of privilege in the operating system kernel. They extend the kernel functionalities or provide the hardware-specific code required to control new devices. Examples include hardware devices like Field Programmable Gate Arrays (FPGA) or GPUs, and software-defined storage (SDS) solutions, such as Lustre parallel file systems, which require kernel modules on client machines. Driver containers are the first layer of the software stack used to enable these technologies on Kubernetes.

The list of kernel packages in the Driver Toolkit includes the following and their dependencies:

kernel-core
kernel-devel
kernel-headers
kernel-modules
kernel-modules-extra

In addition, the Driver Toolkit also includes the corresponding real-time kernel packages:

kernel-rt-core
kernel-rt-devel
kernel-rt-modules
kernel-rt-modules-extra

The Driver Toolkit also has several tools that are commonly needed to build and install kernel modules, including:

elfutils-libelf-devel
kmod
binutilskabi-dw
kernel-abi-whitelists
dependencies for the above

Purpose

Prior to the Driver Toolkit’s existence, users would install kernel packages in a pod or build config on OpenShift Container Platform using entitled builds or by installing from the kernel RPMs in the hosts machine-os-content. The Driver Toolkit simplifies the process by removing the entitlement step, and avoids the privileged operation of accessing the machine-os-content in a pod. The Driver Toolkit can also be used by partners who have access to pre-released OpenShift Container Platform versions to prebuild driver-containers for their hardware devices for future OpenShift Container Platform releases.

The Driver Toolkit is also used by the Kernel Module Management (KMM), which is currently available as a community Operator on OperatorHub. KMM supports out-of-tree and third-party kernel drivers and the support software for the underlying operating system. Users can create modules for KMM to build and deploy a driver container, as well as support software like a device plugin, or metrics. Modules can include a build config to build a driver container-based on the Driver Toolkit, or KMM can deploy a prebuilt driver container.

2.2. Pulling the Driver Toolkit container image

The driver-toolkit image is available from the Container images section of the Red Hat Ecosystem Catalog and in the OpenShift Container Platform release payload. The image corresponding to the most recent minor release of OpenShift Container Platform will be tagged with the version number in the catalog. The image URL for a specific release can be found using the oc adm CLI command.

2.2.1. Pulling the Driver Toolkit container image from registry.redhat.io

Instructions for pulling the driver-toolkit image from registry.redhat.io with podman or in OpenShift Container Platform can be found on the Red Hat Ecosystem Catalog. The driver-toolkit image for the latest minor release are tagged with the minor release version on registry.redhat.io, for example: registry.redhat.io/openshift4/driver-toolkit-rhel8:v4.16.

2.2.2. Finding the Driver Toolkit image URL in the payload

Prerequisites

You obtained the image pull secret from Red Hat OpenShift Cluster Manager.
You installed the OpenShift CLI (oc).

Procedure

Use the oc adm command to extract the image URL of the driver-toolkit corresponding to a certain release:

For an x86 image, the command is as follows:

$ oc adm release info quay.io/openshift-release-dev/ocp-release:4.16.z-x86_64 --image-for=driver-toolkit

For an ARM image, the command is as follows:

$ oc adm release info quay.io/openshift-release-dev/ocp-release:4.16.z-aarch64 --image-for=driver-toolkit

Example output

quay.io/openshift-release-dev/ocp-v4.0-art-dev@sha256:b53883ca2bac5925857148c4a1abc300ced96c222498e3bc134fe7ce3a1dd404

Obtain this image using a valid pull secret, such as the pull secret required to install OpenShift Container Platform:
```
$ podman pull --authfile=path/to/pullsecret.json quay.io/openshift-release-dev/ocp-v4.0-art-dev@sha256:<SHA>
```

2.3. Using the Driver Toolkit

As an example, the Driver Toolkit can be used as the base image for building a very simple kernel module called simple-kmod.

Note

The Driver Toolkit includes the necessary dependencies, openssl, mokutil, and keyutils, needed to sign a kernel module. However, in this example, the simple-kmod kernel module is not signed and therefore cannot be loaded on systems with Secure Boot enabled.

2.3.1. Build and run the simple-kmod driver container on a cluster

Prerequisites

You have a running OpenShift Container Platform cluster.
You set the Image Registry Operator state to Managed for your cluster.
You installed the OpenShift CLI (oc).
You are logged into the OpenShift CLI as a user with cluster-admin privileges.

Procedure

Create a namespace. For example:

$ oc new-project simple-kmod-demo

The YAML defines an ImageStream for storing the simple-kmod driver container image, and a BuildConfig for building the container. Save this YAML as 0000-buildconfig.yaml.template.

apiVersion: image.openshift.io/v1
kind: ImageStream
metadata:
  labels:
    app: simple-kmod-driver-container
  name: simple-kmod-driver-container
  namespace: simple-kmod-demo
spec: {}
---
apiVersion: build.openshift.io/v1
kind: BuildConfig
metadata:
  labels:
    app: simple-kmod-driver-build
  name: simple-kmod-driver-build
  namespace: simple-kmod-demo
spec:
  nodeSelector:
    node-role.kubernetes.io/worker: ""
  runPolicy: "Serial"
  triggers:
    - type: "ConfigChange"
    - type: "ImageChange"
  source:
    dockerfile: |
      ARG DTK
      FROM ${DTK} as builder

      ARG KVER

      WORKDIR /build/

      RUN git clone https://github.com/openshift-psap/simple-kmod.git

      WORKDIR /build/simple-kmod

      RUN make all install KVER=${KVER}

      FROM registry.redhat.io/ubi8/ubi-minimal

      ARG KVER

      # Required for installing `modprobe`
      RUN microdnf install kmod

      COPY --from=builder /lib/modules/${KVER}/simple-kmod.ko /lib/modules/${KVER}/
      COPY --from=builder /lib/modules/${KVER}/simple-procfs-kmod.ko /lib/modules/${KVER}/
      RUN depmod ${KVER}
  strategy:
    dockerStrategy:
      buildArgs:
        - name: KMODVER
          value: DEMO
          # $ oc adm release info quay.io/openshift-release-dev/ocp-release:<cluster version>-x86_64 --image-for=driver-toolkit
        - name: DTK
          value: quay.io/openshift-release-dev/ocp-v4.0-art-dev@sha256:34864ccd2f4b6e385705a730864c04a40908e57acede44457a783d739e377cae
        - name: KVER
          value: 4.18.0-372.26.1.el8_6.x86_64
  output:
    to:
      kind: ImageStreamTag
      name: simple-kmod-driver-container:demo

Substitute the correct driver toolkit image for the OpenShift Container Platform version you are running in place of “DRIVER_TOOLKIT_IMAGE” with the following commands.

$ OCP_VERSION=$(oc get clusterversion/version -ojsonpath={.status.desired.version})

$ DRIVER_TOOLKIT_IMAGE=$(oc adm release info $OCP_VERSION --image-for=driver-toolkit)

$ sed "s#DRIVER_TOOLKIT_IMAGE#${DRIVER_TOOLKIT_IMAGE}#" 0000-buildconfig.yaml.template > 0000-buildconfig.yaml

Create the image stream and build config with
```
$ oc create -f 0000-buildconfig.yaml
```

After the builder pod completes successfully, deploy the driver container image as a DaemonSet.

The driver container must run with the privileged security context in order to load the kernel modules on the host. The following YAML file contains the RBAC rules and the DaemonSet for running the driver container. Save this YAML as 1000-drivercontainer.yaml.

apiVersion: v1
kind: ServiceAccount
metadata:
  name: simple-kmod-driver-container
---
apiVersion: rbac.authorization.k8s.io/v1
kind: Role
metadata:
  name: simple-kmod-driver-container
rules:
- apiGroups:
  - security.openshift.io
  resources:
  - securitycontextconstraints
  verbs:
  - use
  resourceNames:
  - privileged
---
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
  name: simple-kmod-driver-container
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: Role
  name: simple-kmod-driver-container
subjects:
- kind: ServiceAccount
  name: simple-kmod-driver-container
userNames:
- system:serviceaccount:simple-kmod-demo:simple-kmod-driver-container
---
apiVersion: apps/v1
kind: DaemonSet
metadata:
  name: simple-kmod-driver-container
spec:
  selector:
    matchLabels:
      app: simple-kmod-driver-container
  template:
    metadata:
      labels:
        app: simple-kmod-driver-container
    spec:
      serviceAccount: simple-kmod-driver-container
      serviceAccountName: simple-kmod-driver-container
      containers:
      - image: image-registry.openshift-image-registry.svc:5000/simple-kmod-demo/simple-kmod-driver-container:demo
        name: simple-kmod-driver-container
        imagePullPolicy: Always
        command: [sleep, infinity]
        lifecycle:
          postStart:
            exec:
              command: ["modprobe", "-v", "-a" , "simple-kmod", "simple-procfs-kmod"]
          preStop:
            exec:
              command: ["modprobe", "-r", "-a" , "simple-kmod", "simple-procfs-kmod"]
        securityContext:
          privileged: true
      nodeSelector:
        node-role.kubernetes.io/worker: ""

Create the RBAC rules and daemon set:

$ oc create -f 1000-drivercontainer.yaml

After the pods are running on the worker nodes, verify that the simple_kmod kernel module is loaded successfully on the host machines with lsmod.

Verify that the pods are running:

$ oc get pod -n simple-kmod-demo

Example output

NAME                                 READY   STATUS      RESTARTS   AGE
simple-kmod-driver-build-1-build     0/1     Completed   0          6m
simple-kmod-driver-container-b22fd   1/1     Running     0          40s
simple-kmod-driver-container-jz9vn   1/1     Running     0          40s
simple-kmod-driver-container-p45cc   1/1     Running     0          40s

Execute the lsmod command in the driver container pod:

$ oc exec -it pod/simple-kmod-driver-container-p45cc -- lsmod | grep simple

Example output

simple_procfs_kmod     16384  0
simple_kmod            16384  0

2.4. Additional resources

For more information about configuring registry storage for your cluster, see Image Registry Operator in OpenShift Container Platform.

Chapter 3. Node Feature Discovery Operator

Learn about the Node Feature Discovery (NFD) Operator and how you can use it to expose node-level information by orchestrating Node Feature Discovery, a Kubernetes add-on for detecting hardware features and system configuration.

The Node Feature Discovery Operator (NFD) manages the detection of hardware features and configuration in an OpenShift Container Platform cluster by labeling the nodes with hardware-specific information. NFD labels the host with node-specific attributes, such as PCI cards, kernel, operating system version, and so on.

The NFD Operator can be found on the Operator Hub by searching for “Node Feature Discovery”.

3.1. Installing the Node Feature Discovery Operator

The Node Feature Discovery (NFD) Operator orchestrates all resources needed to run the NFD daemon set. As a cluster administrator, you can install the NFD Operator by using the OpenShift Container Platform CLI or the web console.

3.1.1. Installing the NFD Operator using the CLI

As a cluster administrator, you can install the NFD Operator using the CLI.

Prerequisites

An OpenShift Container Platform cluster
Install the OpenShift CLI (oc).
Log in as a user with cluster-admin privileges.

Procedure

Create a namespace for the NFD Operator.
1. Create the following Namespace custom resource (CR) that defines the openshift-nfd namespace, and then save the YAML in the nfd-namespace.yaml file. Set cluster-monitoring to "true".
```
apiVersion: v1
kind: Namespace
metadata:
  name: openshift-nfd
  labels:
    name: openshift-nfd
    openshift.io/cluster-monitoring: "true"
```
2. Create the namespace by running the following command:
```
$ oc create -f nfd-namespace.yaml
```

Install the NFD Operator in the namespace you created in the previous step by creating the following objects:

Create the following OperatorGroup CR and save the YAML in the nfd-operatorgroup.yaml file:

apiVersion: operators.coreos.com/v1
kind: OperatorGroup
metadata:
  generateName: openshift-nfd-
  name: openshift-nfd
  namespace: openshift-nfd
spec:
  targetNamespaces:
  - openshift-nfd

Create the OperatorGroup CR by running the following command:
```
$ oc create -f nfd-operatorgroup.yaml
```

Create the following Subscription CR and save the YAML in the nfd-sub.yaml file:

Example Subscription

apiVersion: operators.coreos.com/v1alpha1
kind: Subscription
metadata:
  name: nfd
  namespace: openshift-nfd
spec:
  channel: "stable"
  installPlanApproval: Automatic
  name: nfd
  source: redhat-operators
  sourceNamespace: openshift-marketplace

Create the subscription object by running the following command:
```
$ oc create -f nfd-sub.yaml
```
Change to the openshift-nfd project:
```
$ oc project openshift-nfd
```

Verification

To verify that the Operator deployment is successful, run:

$ oc get pods

Example output

NAME                                      READY   STATUS    RESTARTS   AGE
nfd-controller-manager-7f86ccfb58-vgr4x   2/2     Running   0          10m

A successful deployment shows a Running status.

3.1.2. Installing the NFD Operator using the web console

As a cluster administrator, you can install the NFD Operator using the web console.

Procedure

In the OpenShift Container Platform web console, click Operators → OperatorHub.
Choose Node Feature Discovery from the list of available Operators, and then click Install.
On the Install Operator page, select A specific namespace on the cluster, and then click Install. You do not need to create a namespace because it is created for you.

Verification

To verify that the NFD Operator installed successfully:

Navigate to the Operators → Installed Operators page.
Ensure that Node Feature Discovery is listed in the openshift-nfd project with a Status of InstallSucceeded.
Note
During installation an Operator might display a Failed status. If the installation later succeeds with an InstallSucceeded message, you can ignore the Failed message.

Troubleshooting

If the Operator does not appear as installed, troubleshoot further:

Navigate to the Operators → Installed Operators page and inspect the Operator Subscriptions and Install Plans tabs for any failure or errors under Status.
Navigate to the Workloads → Pods page and check the logs for pods in the openshift-nfd project.

3.2. Using the Node Feature Discovery Operator

The Node Feature Discovery (NFD) Operator orchestrates all resources needed to run the Node-Feature-Discovery daemon set by watching for a NodeFeatureDiscovery custom resource (CR). Based on the NodeFeatureDiscovery CR, the Operator creates the operand (NFD) components in the selected namespace. You can edit the CR to use another namespace, image, image pull policy, and nfd-worker-conf config map, among other options.

As a cluster administrator, you can create a NodeFeatureDiscovery CR by using the OpenShift CLI (oc) or the web console.

Note

Starting with version 4.12, the operand.image field in the NodeFeatureDiscovery CR is mandatory. If the NFD Operator is deployed by using Operator Lifecycle Manager (OLM), OLM automatically sets the operand.image field. If you create the NodeFeatureDiscovery CR by using the OpenShift Container Platform CLI or the OpenShift Container Platform web console, you must set the operand.image field explicitly.

3.2.1. Creating a NodeFeatureDiscovery CR by using the CLI

As a cluster administrator, you can create a NodeFeatureDiscovery CR instance by using the OpenShift CLI (oc).

Note

The spec.operand.image setting requires a -rhel9 image to be defined for use with OpenShift Container Platform releases 4.13 and later.

The following example shows the use of -rhel9 to acquire the correct image.

Prerequisites

You have access to an OpenShift Container Platform cluster
You installed the OpenShift CLI (oc).
You logged in as a user with cluster-admin privileges.
You installed the NFD Operator.

Procedure

Create a NodeFeatureDiscovery CR:

Example NodeFeatureDiscovery CR

apiVersion: nfd.openshift.io/v1
kind: NodeFeatureDiscovery
metadata:
  name: nfd-instance
  namespace: openshift-nfd
spec:
  instance: "" # instance is empty by default
  topologyupdater: false # False by default
  operand:
    image: registry.redhat.io/openshift4/ose-node-feature-discovery-rhel9:v4.16 1
    imagePullPolicy: Always
  workerConfig:
    configData: |
      core:
      #  labelWhiteList:
      #  noPublish: false
        sleepInterval: 60s
      #  sources: [all]
      #  klog:
      #    addDirHeader: false
      #    alsologtostderr: false
      #    logBacktraceAt:
      #    logtostderr: true
      #    skipHeaders: false
      #    stderrthreshold: 2
      #    v: 0
      #    vmodule:
      ##   NOTE: the following options are not dynamically run-time configurable
      ##         and require a nfd-worker restart to take effect after being changed
      #    logDir:
      #    logFile:
      #    logFileMaxSize: 1800
      #    skipLogHeaders: false
      sources:
        cpu:
          cpuid:
      #     NOTE: whitelist has priority over blacklist
            attributeBlacklist:
              - "BMI1"
              - "BMI2"
              - "CLMUL"
              - "CMOV"
              - "CX16"
              - "ERMS"
              - "F16C"
              - "HTT"
              - "LZCNT"
              - "MMX"
              - "MMXEXT"
              - "NX"
              - "POPCNT"
              - "RDRAND"
              - "RDSEED"
              - "RDTSCP"
              - "SGX"
              - "SSE"
              - "SSE2"
              - "SSE3"
              - "SSE4.1"
              - "SSE4.2"
              - "SSSE3"
            attributeWhitelist:
        kernel:
          kconfigFile: "/path/to/kconfig"
          configOpts:
            - "NO_HZ"
            - "X86"
            - "DMI"
        pci:
          deviceClassWhitelist:
            - "0200"
            - "03"
            - "12"
          deviceLabelFields:
            - "class"
  customConfig:
    configData: |
          - name: "more.kernel.features"
            matchOn:
            - loadedKMod: ["example_kmod3"]

1: The operand.image field is mandatory.

Create the NodeFeatureDiscovery CR by running the following command:
```
$ oc apply -f <filename>
```

Verification

Check that the NodeFeatureDiscovery CR was created by running the following command:

$ oc get pods

Example output

NAME                                      READY   STATUS    RESTARTS   AGE
nfd-controller-manager-7f86ccfb58-vgr4x   2/2     Running   0          11m
nfd-master-hcn64                          1/1     Running   0          60s
nfd-master-lnnxx                          1/1     Running   0          60s
nfd-master-mp6hr                          1/1     Running   0          60s
nfd-worker-vgcz9                          1/1     Running   0          60s
nfd-worker-xqbws                          1/1     Running   0          60s

A successful deployment shows a Running status.

3.2.2. Creating a NodeFeatureDiscovery CR by using the CLI in a disconnected environment

As a cluster administrator, you can create a NodeFeatureDiscovery CR instance by using the OpenShift CLI (oc).

Prerequisites

You have access to an OpenShift Container Platform cluster
You installed the OpenShift CLI (oc).
You logged in as a user with cluster-admin privileges.
You installed the NFD Operator.
You have access to a mirror registry with the required images.
You installed the skopeo CLI tool.

Procedure

Determine the digest of the registry image:

Run the following command:

$ skopeo inspect docker://registry.redhat.io/openshift4/ose-node-feature-discovery:<openshift_version>

Example command

$ skopeo inspect docker://registry.redhat.io/openshift4/ose-node-feature-discovery:v4.12

Inspect the output to identify the image digest:

Example output

{
  ...
  "Digest": "sha256:1234567890abcdef1234567890abcdef1234567890abcdef1234567890abcdef",
  ...
}

Use the skopeo CLI tool to copy the image from registry.redhat.io to your mirror registry, by running the following command:

skopeo copy docker://registry.redhat.io/openshift4/ose-node-feature-discovery@<image_digest> docker://<mirror_registry>/openshift4/ose-node-feature-discovery@<image_digest>

Example command

skopeo copy docker://registry.redhat.io/openshift4/ose-node-feature-discovery@sha256:1234567890abcdef1234567890abcdef1234567890abcdef1234567890abcdef docker://<your-mirror-registry>/openshift4/ose-node-feature-discovery@sha256:1234567890abcdef1234567890abcdef1234567890abcdef1234567890abcdef

Create a NodeFeatureDiscovery CR:

Example NodeFeatureDiscovery CR

apiVersion: nfd.openshift.io/v1
kind: NodeFeatureDiscovery
metadata:
  name: nfd-instance
spec:
  operand:
    image: <mirror_registry>/openshift4/ose-node-feature-discovery@<image_digest> 1
    imagePullPolicy: Always
  workerConfig:
    configData: |
      core:
      #  labelWhiteList:
      #  noPublish: false
        sleepInterval: 60s
      #  sources: [all]
      #  klog:
      #    addDirHeader: false
      #    alsologtostderr: false
      #    logBacktraceAt:
      #    logtostderr: true
      #    skipHeaders: false
      #    stderrthreshold: 2
      #    v: 0
      #    vmodule:
      ##   NOTE: the following options are not dynamically run-time configurable
      ##         and require a nfd-worker restart to take effect after being changed
      #    logDir:
      #    logFile:
      #    logFileMaxSize: 1800
      #    skipLogHeaders: false
      sources:
        cpu:
          cpuid:
      #     NOTE: whitelist has priority over blacklist
            attributeBlacklist:
              - "BMI1"
              - "BMI2"
              - "CLMUL"
              - "CMOV"
              - "CX16"
              - "ERMS"
              - "F16C"
              - "HTT"
              - "LZCNT"
              - "MMX"
              - "MMXEXT"
              - "NX"
              - "POPCNT"
              - "RDRAND"
              - "RDSEED"
              - "RDTSCP"
              - "SGX"
              - "SSE"
              - "SSE2"
              - "SSE3"
              - "SSE4.1"
              - "SSE4.2"
              - "SSSE3"
            attributeWhitelist:
        kernel:
          kconfigFile: "/path/to/kconfig"
          configOpts:
            - "NO_HZ"
            - "X86"
            - "DMI"
        pci:
          deviceClassWhitelist:
            - "0200"
            - "03"
            - "12"
          deviceLabelFields:
            - "class"
  customConfig:
    configData: |
          - name: "more.kernel.features"
            matchOn:
            - loadedKMod: ["example_kmod3"]

1: The operand.image field is mandatory.

Create the NodeFeatureDiscovery CR by running the following command:
```
$ oc apply -f <filename>
```

Verification

Check the status of the NodeFeatureDiscovery CR by running the following command:
```
$ oc get nodefeaturediscovery nfd-instance -o yaml
```
Check that the pods are running without ImagePullBackOff errors by running the following command:
```
$ oc get pods -n <nfd_namespace>
```

3.2.3. Creating a NodeFeatureDiscovery CR by using the web console

As a cluster administrator, you can create a NodeFeatureDiscovery CR by using the OpenShift Container Platform web console.

Prerequisites

You have access to an OpenShift Container Platform cluster
You logged in as a user with cluster-admin privileges.
You installed the NFD Operator.

Procedure

Navigate to the Operators → Installed Operators page.
In the Node Feature Discovery section, under Provided APIs, click Create instance.
Edit the values of the NodeFeatureDiscovery CR.
Click Create.

Note

3.3. Configuring the Node Feature Discovery Operator

3.3.1. core

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

core.sleepInterval

core.sleepInterval specifies the interval between consecutive passes of feature detection or re-detection, and thus also the interval between node re-labeling. A non-positive value implies infinite sleep interval; no re-detection or re-labeling is done.

This value is overridden by the deprecated --sleep-interval command line flag, if specified.

Example usage

core:
  sleepInterval: 60s 1

The default value is 60s.

core.sources

core.sources specifies the list of enabled feature sources. A special value all enables all feature sources.

This value is overridden by the deprecated --sources command line flag, if specified.

Default: [all]

Example usage

core:
  sources:
    - system
    - custom

core.labelWhiteList

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

The regular expression is only matched against the basename part of the label, the part of the name after '/'. The label prefix, or namespace, is omitted.

This value is overridden by the deprecated --label-whitelist command line flag, if specified.

Default: null

Example usage

core:
  labelWhiteList: '^cpu-cpuid'

core.noPublish

Setting core.noPublish to true disables all communication with the nfd-master. It is effectively a dry run flag; nfd-worker runs feature detection normally, but no labeling requests are sent to nfd-master.

This value is overridden by the --no-publish command line flag, if specified.

Example:

Example usage

core:
  noPublish: true 1

The default value is false.

core.klog

The following options specify the logger configuration, most of which can be dynamically adjusted at run-time.

The logger options can also be specified using command line flags, which take precedence over any corresponding config file options.

core.klog.addDirHeader

If set to true, core.klog.addDirHeader adds the file directory to the header of the log messages.

Default: false

Run-time configurable: yes

core.klog.alsologtostderr

Log to standard error as well as files.

Default: false

Run-time configurable: yes

core.klog.logBacktraceAt

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

Default: empty

Run-time configurable: yes

core.klog.logDir

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

Default: empty

Run-time configurable: no

core.klog.logFile

If not empty, use this log file.

Default: empty

Run-time configurable: no

core.klog.logFileMaxSize

core.klog.logFileMaxSize defines the maximum size a log file can grow to. Unit is megabytes. If the value is 0, the maximum file size is unlimited.

Default: 1800

Run-time configurable: no

core.klog.logtostderr

Log to standard error instead of files

Default: true

Run-time configurable: yes

core.klog.skipHeaders

If core.klog.skipHeaders is set to true, avoid header prefixes in the log messages.

Default: false

Run-time configurable: yes

core.klog.skipLogHeaders

If core.klog.skipLogHeaders is set to true, avoid headers when opening log files.

Default: false

Run-time configurable: no

core.klog.stderrthreshold

Logs at or above this threshold go to stderr.

Default: 2

Run-time configurable: yes

core.klog.v

core.klog.v is the number for the log level verbosity.

Default: 0

Run-time configurable: yes

core.klog.vmodule

core.klog.vmodule is a comma-separated list of pattern=N settings for file-filtered logging.

Default: empty

Run-time configurable: yes

3.3.2. sources

The sources section contains feature source specific configuration parameters.

sources.cpu.cpuid.attributeBlacklist

Prevent publishing cpuid features listed in this option.

This value is overridden by sources.cpu.cpuid.attributeWhitelist, if specified.

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

Example usage

sources:
  cpu:
    cpuid:
      attributeBlacklist: [MMX, MMXEXT]

sources.cpu.cpuid.attributeWhitelist

Only publish the cpuid features listed in this option.

sources.cpu.cpuid.attributeWhitelist takes precedence over sources.cpu.cpuid.attributeBlacklist.

Default: empty

Example usage

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

sources.kernel.kconfigFile

sources.kernel.kconfigFile is the path of the kernel config file. If empty, NFD runs a search in the well-known standard locations.

Default: empty

Example usage

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

sources.kernel.configOpts

sources.kernel.configOpts represents kernel configuration options to publish as feature labels.

Default: [NO_HZ, NO_HZ_IDLE, NO_HZ_FULL, PREEMPT]

Example usage

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

sources.pci.deviceClassWhitelist

sources.pci.deviceClassWhitelist is a list of PCI device class IDs for which to publish a label. It can be specified as a main class only (for example, 03) or full class-subclass combination (for example 0300). The former implies that all subclasses are accepted. The format of the labels can be further configured with deviceLabelFields.

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

Example usage

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

sources.pci.deviceLabelFields

sources.pci.deviceLabelFields is the set of PCI ID fields to use when constructing the name of the feature label. Valid fields are class, vendor, device, subsystem_vendor and subsystem_device.

Default: [class, vendor]

Example usage

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

With the example config above, NFD would publish labels such as feature.node.kubernetes.io/pci-<class-id>_<vendor-id>_<device-id>.present=true

sources.usb.deviceClassWhitelist

sources.usb.deviceClassWhitelist is a list of USB device class IDs for which to publish a feature label. The format of the labels can be further configured with deviceLabelFields.

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

Example usage

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

sources.usb.deviceLabelFields

sources.usb.deviceLabelFields is the set of USB ID fields from which to compose the name of the feature label. Valid fields are class, vendor, and device.

Default: [class, vendor, device]

Example usage

sources:
  pci:
    deviceLabelFields: [class, vendor]

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

sources.custom

sources.custom is the list of rules to process in the custom feature source to create user-specific labels.

Default: empty

Example usage

source:
  custom:
  - name: "my.custom.feature"
    matchOn:
    - loadedKMod: ["e1000e"]
    - pciId:
        class: ["0200"]
        vendor: ["8086"]

3.4. About the NodeFeatureRule custom resource

NodeFeatureRule objects are a NodeFeatureDiscovery custom resource designed for rule-based custom labeling of nodes. Some use cases include application-specific labeling or distribution by hardware vendors to create specific labels for their devices.

NodeFeatureRule objects provide a method to create vendor- or application-specific labels and taints. It uses a flexible rule-based mechanism for creating labels and optionally taints based on node features.

3.5. Using the NodeFeatureRule custom resource

Create a NodeFeatureRule object to label nodes if a set of rules match the conditions.

Procedure

Create a custom resource file named nodefeaturerule.yaml that contains the following text:

apiVersion: nfd.openshift.io/v1
kind: NodeFeatureRule
metadata:
  name: example-rule
spec:
  rules:
    - name: "example rule"
      labels:
        "example-custom-feature": "true"
      # Label is created if all of the rules below match
      matchFeatures:
        # Match if "veth" kernel module is loaded
        - feature: kernel.loadedmodule
          matchExpressions:
            veth: {op: Exists}
        # Match if any PCI device with vendor 8086 exists in the system
        - feature: pci.device
          matchExpressions:
            vendor: {op: In, value: ["8086"]}

This custom resource specifies that labelling occurs when the veth module is loaded and any PCI device with vendor code 8086 exists in the cluster.

Apply the nodefeaturerule.yaml file to your cluster by running the following command:
```
$ oc apply -f https://raw.githubusercontent.com/kubernetes-sigs/node-feature-discovery/v0.13.6/examples/nodefeaturerule.yaml
```
The example applies the feature label on nodes with the veth module loaded and any PCI device with vendor code 8086 exists.
Note
A relabeling delay of up to 1 minute might occur.

3.6. Using the NFD Topology Updater

The Node Feature Discovery (NFD) Topology Updater is a daemon responsible for examining allocated resources on a worker node. It accounts for resources that are available to be allocated to new pod on a per-zone basis, where a zone can be a Non-Uniform Memory Access (NUMA) node. The NFD Topology Updater communicates the information to nfd-master, which creates a NodeResourceTopology custom resource (CR) corresponding to all of the worker nodes in the cluster. One instance of the NFD Topology Updater runs on each node of the cluster.

To enable the Topology Updater workers in NFD, set the topologyupdater variable to true in the NodeFeatureDiscovery CR, as described in the section Using the Node Feature Discovery Operator.

3.6.1. NodeResourceTopology CR

When run with NFD Topology Updater, NFD creates custom resource instances corresponding to the node resource hardware topology, such as:

apiVersion: topology.node.k8s.io/v1alpha1
kind: NodeResourceTopology
metadata:
  name: node1
topologyPolicies: ["SingleNUMANodeContainerLevel"]
zones:
  - name: node-0
    type: Node
    resources:
      - name: cpu
        capacity: 20
        allocatable: 16
        available: 10
      - name: vendor/nic1
        capacity: 3
        allocatable: 3
        available: 3
  - name: node-1
    type: Node
    resources:
      - name: cpu
        capacity: 30
        allocatable: 30
        available: 15
      - name: vendor/nic2
        capacity: 6
        allocatable: 6
        available: 6
  - name: node-2
    type: Node
    resources:
      - name: cpu
        capacity: 30
        allocatable: 30
        available: 15
      - name: vendor/nic1
        capacity: 3
        allocatable: 3
        available: 3

3.6.2. NFD Topology Updater command line flags

To view available command line flags, run the nfd-topology-updater -help command. For example, in a podman container, run the following command:

$ podman run gcr.io/k8s-staging-nfd/node-feature-discovery:master nfd-topology-updater -help

-ca-file

The -ca-file flag is one of the three flags, together with the -cert-file and `-key-file`flags, that controls the mutual TLS authentication on the NFD Topology Updater. This flag specifies the TLS root certificate that is used for verifying the authenticity of nfd-master.

Default: empty

Important

The -ca-file flag must be specified together with the -cert-file and -key-file flags.

Example

$ nfd-topology-updater -ca-file=/opt/nfd/ca.crt -cert-file=/opt/nfd/updater.crt -key-file=/opt/nfd/updater.key

-cert-file

The -cert-file flag is one of the three flags, together with the -ca-file and -key-file flags, that controls mutual TLS authentication on the NFD Topology Updater. This flag specifies the TLS certificate presented for authenticating outgoing requests.

Default: empty

Important

The -cert-file flag must be specified together with the -ca-file and -key-file flags.

Example

$ nfd-topology-updater -cert-file=/opt/nfd/updater.crt -key-file=/opt/nfd/updater.key -ca-file=/opt/nfd/ca.crt

-h, -help

Print usage and exit.

-key-file

The -key-file flag is one of the three flags, together with the -ca-file and -cert-file flags, that controls the mutual TLS authentication on the NFD Topology Updater. This flag specifies the private key corresponding the given certificate file, or -cert-file, that is used for authenticating outgoing requests.

Default: empty

Important

The -key-file flag must be specified together with the -ca-file and -cert-file flags.

Example

$ nfd-topology-updater -key-file=/opt/nfd/updater.key -cert-file=/opt/nfd/updater.crt -ca-file=/opt/nfd/ca.crt

-kubelet-config-file

The -kubelet-config-file specifies the path to the Kubelet’s configuration file.

Default: /host-var/lib/kubelet/config.yaml

Example

$ nfd-topology-updater -kubelet-config-file=/var/lib/kubelet/config.yaml

-no-publish

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

Default: false

Example

$ nfd-topology-updater -no-publish

3.6.2.1. -oneshot

The -oneshot flag causes the NFD Topology Updater to exit after one pass of resource hardware topology detection.

Default: false

Example

$ nfd-topology-updater -oneshot -no-publish

-podresources-socket

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

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

Example

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

-server

The -server flag specifies the address of the nfd-master endpoint to connect to.

Default: localhost:8080

Example

$ nfd-topology-updater -server=nfd-master.nfd.svc.cluster.local:443

-server-name-override

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

Default: empty

Example

$ nfd-topology-updater -server-name-override=localhost

-sleep-interval

The -sleep-interval flag specifies the interval between resource hardware topology re-examination and custom resource updates. A non-positive value implies infinite sleep interval and no re-detection is done.

Default: 60s

Example

$ nfd-topology-updater -sleep-interval=1h

-version

Print version and exit.

-watch-namespace

The -watch-namespace flag specifies the namespace to ensure that resource hardware topology examination only happens for the pods running in the specified namespace. Pods that are not running in the specified namespace are not considered during resource accounting. This is particularly useful for testing and debugging purposes. A * value means that all of the pods across all namespaces are considered during the accounting process.

Default: *

Example

$ nfd-topology-updater -watch-namespace=rte

Chapter 4. Kernel Module Management Operator

Learn about the Kernel Module Management (KMM) Operator and how you can use it to deploy out-of-tree kernel modules and device plugins on OpenShift Container Platform clusters.

4.1. About the Kernel Module Management Operator

The Kernel Module Management (KMM) Operator manages, builds, signs, and deploys out-of-tree kernel modules and device plugins on OpenShift Container Platform clusters.

KMM adds a new Module CRD which describes an out-of-tree kernel module and its associated device plugin. You can use Module resources to configure how to load the module, define ModuleLoader images for kernel versions, and include instructions for building and signing modules for specific kernel versions.

KMM is designed to accommodate multiple kernel versions at once for any kernel module, allowing for seamless node upgrades and reduced application downtime.

4.2. Installing the Kernel Module Management Operator

As a cluster administrator, you can install the Kernel Module Management (KMM) Operator by using the OpenShift CLI or the web console.

The KMM Operator is supported on OpenShift Container Platform 4.12 and later. Installing KMM on version 4.11 does not require specific additional steps. For details on installing KMM on version 4.10 and earlier, see the section "Installing the Kernel Module Management Operator on earlier versions of OpenShift Container Platform".

4.2.1. Installing the Kernel Module Management Operator using the web console

As a cluster administrator, you can install the Kernel Module Management (KMM) Operator using the OpenShift Container Platform web console.

Procedure

Log in to the OpenShift Container Platform web console.
Install the Kernel Module Management Operator:
1. In the OpenShift Container Platform web console, click Operators → OperatorHub.
2. Select Kernel Module Management Operator from the list of available Operators, and then click Install.
3. From the Installed Namespace list, select the openshift-kmm namespace.
4. Click Install.

Verification

To verify that KMM Operator installed successfully:

Navigate to the Operators → Installed Operators page.
Ensure that Kernel Module Management Operator is listed in the openshift-kmm project with a Status of InstallSucceeded.
Note
During installation, an Operator might display a Failed status. If the installation later succeeds with an InstallSucceeded message, you can ignore the Failed message.

Troubleshooting

To troubleshoot issues with Operator installation:
1. Navigate to the Operators → Installed Operators page and inspect the Operator Subscriptions and Install Plans tabs for any failure or errors under Status.
2. Navigate to the Workloads → Pods page and check the logs for pods in the openshift-kmm project.

4.2.2. Installing the Kernel Module Management Operator by using the CLI

As a cluster administrator, you can install the Kernel Module Management (KMM) Operator by using the OpenShift CLI.

Prerequisites

You have a running OpenShift Container Platform cluster.
You installed the OpenShift CLI (oc).
You are logged into the OpenShift CLI as a user with cluster-admin privileges.

Procedure

Install KMM in the openshift-kmm namespace:

Create the following Namespace CR and save the YAML file, for example, kmm-namespace.yaml:
```
apiVersion: v1
kind: Namespace
metadata:
  name: openshift-kmm
```

Create the following OperatorGroup CR and save the YAML file, for example, kmm-op-group.yaml:

apiVersion: operators.coreos.com/v1
kind: OperatorGroup
metadata:
  name: kernel-module-management
  namespace: openshift-kmm

Create the following Subscription CR and save the YAML file, for example, kmm-sub.yaml:

apiVersion: operators.coreos.com/v1alpha1
kind: Subscription
metadata:
  name: kernel-module-management
  namespace: openshift-kmm
spec:
  channel: release-1.0
  installPlanApproval: Automatic
  name: kernel-module-management
  source: redhat-operators
  sourceNamespace: openshift-marketplace
  startingCSV: kernel-module-management.v1.0.0

Create the subscription object by running the following command:
```
$ oc create -f kmm-sub.yaml
```

Verification

To verify that the Operator deployment is successful, run the following command:

$ oc get -n openshift-kmm deployments.apps kmm-operator-controller

Example output

NAME                              READY UP-TO-DATE  AVAILABLE AGE
kmm-operator-controller           1/1   1           1         97s

The Operator is available.

4.2.3. Installing the Kernel Module Management Operator on earlier versions of OpenShift Container Platform

The KMM Operator is supported on OpenShift Container Platform 4.12 and later. For version 4.10 and earlier, you must create a new SecurityContextConstraint object and bind it to the Operator’s ServiceAccount. As a cluster administrator, you can install the Kernel Module Management (KMM) Operator by using the OpenShift CLI.

Prerequisites

You have a running OpenShift Container Platform cluster.
You installed the OpenShift CLI (oc).
You are logged into the OpenShift CLI as a user with cluster-admin privileges.

Procedure

Install KMM in the openshift-kmm namespace:

Create the following Namespace CR and save the YAML file, for example, kmm-namespace.yaml file:
```
apiVersion: v1
kind: Namespace
metadata:
  name: openshift-kmm
```

Create the following SecurityContextConstraint object and save the YAML file, for example, kmm-security-constraint.yaml:

allowHostDirVolumePlugin: false
allowHostIPC: false
allowHostNetwork: false
allowHostPID: false
allowHostPorts: false
allowPrivilegeEscalation: false
allowPrivilegedContainer: false
allowedCapabilities:
  - NET_BIND_SERVICE
apiVersion: security.openshift.io/v1
defaultAddCapabilities: null
fsGroup:
  type: MustRunAs
groups: []
kind: SecurityContextConstraints
metadata:
  name: restricted-v2
priority: null
readOnlyRootFilesystem: false
requiredDropCapabilities:
  - ALL
runAsUser:
  type: MustRunAsRange
seLinuxContext:
  type: MustRunAs
seccompProfiles:
  - runtime/default
supplementalGroups:
  type: RunAsAny
users: []
volumes:
  - configMap
  - downwardAPI
  - emptyDir
  - persistentVolumeClaim
  - projected
  - secret

Bind the SecurityContextConstraint object to the Operator’s ServiceAccount by running the following commands:

$ oc apply -f kmm-security-constraint.yaml

$ oc adm policy add-scc-to-user kmm-security-constraint -z kmm-operator-controller -n openshift-kmm

Create the following OperatorGroup CR and save the YAML file, for example, kmm-op-group.yaml:

apiVersion: operators.coreos.com/v1
kind: OperatorGroup
metadata:
  name: kernel-module-management
  namespace: openshift-kmm

Create the following Subscription CR and save the YAML file, for example, kmm-sub.yaml:

apiVersion: operators.coreos.com/v1alpha1
kind: Subscription
metadata:
  name: kernel-module-management
  namespace: openshift-kmm
spec:
  channel: release-1.0
  installPlanApproval: Automatic
  name: kernel-module-management
  source: redhat-operators
  sourceNamespace: openshift-marketplace
  startingCSV: kernel-module-management.v1.0.0

Create the subscription object by running the following command:
```
$ oc create -f kmm-sub.yaml
```

Verification

To verify that the Operator deployment is successful, run the following command:

$ oc get -n openshift-kmm deployments.apps kmm-operator-controller

Example output

NAME                              READY UP-TO-DATE  AVAILABLE AGE
kmm-operator-controller           1/1   1           1         97s

The Operator is available.

4.3. Configuring the Kernel Module Management Operator

In most cases, the default configuration for the Kernel Module Management (KMM) Operator does not need to be modified. However, you can modify the Operator settings to suit your environment using the following procedure.

The Operator configuration is set in the kmm-operator-manager-config ConfigMap in the Operator namespace.

Procedure

To modify the settings, edit the ConfigMap data by entering the following command:

$ oc edit configmap -n "$namespace" kmm-operator-manager-config

Example output

healthProbeBindAddress: :8081
job:
  gcDelay: 1h
leaderElection:
  enabled: true
  resourceID: kmm.sigs.x-k8s.io
webhook:
  disableHTTP2: true  # CVE-2023-44487
  port: 9443
metrics:
  enableAuthnAuthz: true
  disableHTTP2: true  # CVE-2023-44487
  bindAddress: 0.0.0.0:8443
  secureServing: true
worker:
  runAsUser: 0
  seLinuxType: spc_t
  setFirmwareClassPath: /var/lib/firmware

Table 4.1. Operator configuration parameters
Parameter	Description
`healthProbeBindAddress`	Defines the address on which the Operator monitors for kubelet health probes. The recommended value is `:8081`.
`job.gcDelay`	Defines the duration that successful build pods should be preserved for before they are deleted. There is no recommended value for this setting. For information about the valid values for this setting, see ParseDuration.
`leaderElection.enabled`	Determines whether leader election is used to ensure that only one replica of the KMM Operator is running at any time. For more information, see Leases. The recommended value is `true`.
`leaderElection.resourceID`	Determines the name of the resource that leader election uses for holding the leader lock. The recommended value is `kmm.sigs.x-k8s.io`.
`webhook.disableHTTP2`	If `true`, disables HTTP/2 for the webhook server, as a mitigation for cve-2023-44487. The recommended value is `true`.
`webhook.port`	Defines the port on which the Operator monitors webhook requests. The recommended value is `9443`.
`metrics.enableAuthnAuthz`	Determines if metrics are authenticated using `TokenReviews` and authorized using `SubjectAccessReviews` with the kube-apiserver. For authentication and authorization, the controller needs a `ClusterRole` with the following rules: `apiGroups: authentication.k8s.io, resources: tokenreviews, verbs: create` `apiGroups: authorization.k8s.io, resources: subjectaccessreviews, verbs: create` To scrape metrics, for example, using Prometheus, the client needs a `ClusterRole` with the following rule: `nonResourceURLs: "/metrics", verbs: get` The recommended value is `true`.
`metrics.disableHTTP2`	If `true`, disables HTTP/2 for the metrics server as a mitigation for CVE-2023-44487. The recommended value is `true`.
`metrics.bindAddress`	Determines the bind address for the metrics server. If unspecified, the default is `:8080`. To disable the metrics server, set to `0`. The recommended value is `0.0.0.0:8443`.
`metrics.secureServing`	Determines whether the metrics are served over HTTPS instead of HTTP. The recommended value is `true`.
`worker.runAsUser`	Determines the value of the `runAsUser` field of the worker container’s security context. For more information, see SecurityContext. The recommended value is `9443`.
`worker.seLinuxType`	Determines the value of the `seLinuxOptions.type` field of the worker container’s security context. For more information, see SecurityContext. The recommended value is `spc_t`.
`worker.setFirmwareClassPath`	Sets the kernel’s firmware search path into the `/sys/module/firmware_class/parameters/path` file on the node. The recommended value is `/var/lib/firmware` if you need to set that value through the worker app. Otherwise, unset.

After modifying the settings, restart the controller with the following command:
```
$ oc delete pod -n "<namespace>" -l app.kubernetes.io/component=kmm
```
Note
The value of <namespace> depends on your original installation method.

Additional resources

For more information, see Installing the Kernel Module Management Operator.

4.3.1. Unloading the kernel module

You must unload the kernel modules when moving to a newer version or if they introduce some undesirable side effect on the node.

Procedure

To unload a module loaded with KMM from nodes, delete the corresponding Module resource. KMM then creates worker pods, where required, to run modprobe -r and unload the kernel module from the nodes.
Warning
When unloading worker pods, KMM needs all the resources it uses when loading the kernel module. This includes the ServiceAccount referenced in the Module as well as any RBAC defined to allow privileged KMM worker Pods to run. It also includes any pull secret referenced in .spec.imageRepoSecret.
To avoid situations where KMM is unable to unload the kernel module from nodes, make sure those resources are not deleted while the Module resource is still present in the cluster in any state, including Terminating. KMM includes a validating admission webhook that rejects the deletion of namespaces that contain at least one Module resource.

4.3.2. Setting the kernel firmware search path

The Linux kernel accepts the firmware_class.path parameter as a search path for firmware, as explained in Firmware search paths.

KMM worker pods can set this value on nodes by writing to sysfs before attempting to load kmods.

Procedure

To define a firmware search path, set worker.setFirmwareClassPath to /var/lib/firmware in the Operator configuration.

Additional resources

For more information about the worker.setFirmwareClassPath path, see Configuring the Kernel Module Management Operator.

4.4. Uninstalling the Kernel Module Management Operator

Use one of the following procedures to uninstall the Kernel Module Management (KMM) Operator, depending on how the KMM Operator was installed.

4.4.1. Uninstalling a Red Hat catalog installation

Use this procedure if KMM was installed from the Red Hat catalog.

Procedure

Use the following method to uninstall the KMM Operator:

Use the OpenShift console under Operators -→ Installed Operators to locate and uninstall the Operator.

Note

Alternatively, you can delete the Subscription resource in the KMM namespace.

4.4.2. Uninstalling a CLI installation

Use this command if the KMM Operator was installed using the OpenShift CLI.

Procedure

Run the following command to uninstall the KMM Operator:
```
$ oc delete -k https://github.com/rh-ecosystem-edge/kernel-module-management/config/default
```
Note
Using this command deletes the Module CRD and all Module instances in the cluster.

4.5. Kernel module deployment

Kernel Module Management (KMM) monitors Node and Module resources in the cluster to determine if a kernel module should be loaded on or unloaded from a node.

To be eligible for a module, a node must contain the following:

Labels that match the module’s .spec.selector field.
A kernel version matching one of the items in the module’s .spec.moduleLoader.container.kernelMappings field.
If ordered upgrade (ordered_upgrade.md) is configured in the module, a label that matches its .spec.moduleLoader.container.version field.

When KMM reconciles nodes with the desired state as configured in the Module resource, it creates worker pods on the target nodes to run the necessary action. The KMM Operator monitors the outcome of the pods and records the information. The Operator uses this information to label the Node objects when the module is successfully loaded, and to run the device plugin, if configured.

Worker pods run the KMM worker binary that performs the following tasks:

Pulls the kmod image configured in the Module resource. Kmod images are standard OCI images that contain .ko files.
Extracts the image in the pod’s filesystem.
Runs modprobe with the specified arguments to perform the necessary action.

4.5.1. The Module custom resource definition

The Module custom resource definition (CRD) represents a kernel module that can be loaded on all or select nodes in the cluster, through a kmod image. A Module custom resource (CR) specifies one or more kernel versions with which it is compatible, and a node selector.

The compatible versions for a Module resource are listed under .spec.moduleLoader.container.kernelMappings. A kernel mapping can either match a literal version, or use regexp to match many of them at the same time.

The reconciliation loop for the Module resource runs the following steps:

List all nodes matching .spec.selector.
Build a set of all kernel versions running on those nodes.
For each kernel version:
1. Go through .spec.moduleLoader.container.kernelMappings and find the appropriate container image name. If the kernel mapping has build or sign defined and the container image does not already exist, run the build, the signing pod, or both, as needed.
2. Create a worker pod to pull the container image determined in the previous step and run modprobe.
3. If .spec.devicePlugin is defined, create a device plugin daemon set using the configuration specified under .spec.devicePlugin.container.
Run garbage-collect on:
1. Obsolete device plugin DaemonSets that do not target any node.
2. Successful build pods.
3. Successful signing pods.

4.5.2. Set soft dependencies between kernel modules

Some configurations require that several kernel modules be loaded in a specific order to work properly, even though the modules do not directly depend on each other through symbols. These are called soft dependencies. depmod is usually not aware of these dependencies, and they do not appear in the files it produces. For example, if mod_a has a soft dependency on mod_b, modprobe mod_a will not load mod_b.

You can resolve these situations by declaring soft dependencies in the Module custom resource definition (CRD) using the modulesLoadingOrder field.

# ...
spec:
  moduleLoader:
    container:
      modprobe:
        moduleName: mod_a
        dirName: /opt
        firmwarePath: /firmware
        parameters:
          - param=1
        modulesLoadingOrder:
          - mod_a
          - mod_b

In the configuration above, the worker pod will first try to unload the in-tree mod_b before loading mod_a from the kmod image. When the worker pod is terminated and mod_a is unloaded, mod_b will not be loaded again.

Note

The first value in the list, to be loaded last, must be equivalent to the moduleName.

4.6. Security and permissions

Important

Loading kernel modules is a highly sensitive operation. After they are loaded, kernel modules have all possible permissions to do any kind of operation on the node.

4.6.1. ServiceAccounts and SecurityContextConstraints

Kernel Module Management (KMM) creates a privileged workload to load the kernel modules on nodes. That workload needs ServiceAccounts allowed to use the privileged SecurityContextConstraint (SCC) resource.

The authorization model for that workload depends on the namespace of the Module resource, as well as its spec.

If the .spec.moduleLoader.serviceAccountName or .spec.devicePlugin.serviceAccountName fields are set, they are always used.
If those fields are not set, then:
- If the Module resource is created in the Operator’s namespace (openshift-kmm by default), then KMM uses its default, powerful ServiceAccounts to run the worker and device plugin pods.
- If the Module resource is created in any other namespace, then KMM runs the pods with the namespace’s default ServiceAccount. The Module resource cannot run a privileged workload unless you manually enable it to use the privileged SCC.

Important

openshift-kmm is a trusted namespace.

When setting up RBAC permissions, remember that any user or ServiceAccount creating a Module resource in the openshift-kmm namespace results in KMM automatically running privileged workloads on potentially all nodes in the cluster.

To allow any ServiceAccount to use the privileged SCC and run worker or device plugin pods, you can use the oc adm policy command, as in the following example:

$ oc adm policy add-scc-to-user privileged -z "${serviceAccountName}" [ -n "${namespace}" ]

4.6.2. Pod security standards

OpenShift runs a synchronization mechanism that sets the namespace Pod Security level automatically based on the security contexts in use. No action is needed.

Additional resources

Understanding and managing pod security admission

4.7. Replacing in-tree modules with out-of-tree modules

You can use Kernel Module Management (KMM) to build kernel modules that can be loaded or unloaded into the kernel on demand. These modules extend the functionality of the kernel without the need to reboot the system. Modules can be configured as built-in or dynamically loaded.

Dynamically loaded modules include in-tree modules and out-of-tree (OOT) modules. In-tree modules are internal to the Linux kernel tree, that is, they are already part of the kernel. Out-of-tree modules are external to the Linux kernel tree. They are generally written for development and testing purposes, such as testing the new version of a kernel module that is shipped in-tree, or to deal with incompatibilities.

Some modules that are loaded by KMM could replace in-tree modules that are already loaded on the node. To unload in-tree modules before loading your module, set the value of the .spec.moduleLoader.container.inTreeModulesToRemove field to the modules that you want to unload. The following example demonstrates module replacement for all kernel mappings:

# ...
spec:
  moduleLoader:
    container:
      modprobe:
        moduleName: mod_a

      inTreeModulesToRemove: [mod_a, mod_b]

In this example, the moduleLoader pod uses inTreeModulesToRemove to unload the in-tree mod_a and mod_b before loading mod_a from the moduleLoader image. When the moduleLoader`pod is terminated and `mod_a is unloaded, mod_b is not loaded again.

The following is an example for module replacement for specific kernel mappings:

# ...
spec:
  moduleLoader:
    container:
      kernelMappings:
        - literal: 6.0.15-300.fc37.x86_64
          containerImage: "some.registry/org/my-kmod:${KERNEL_FULL_VERSION}"
          inTreeModulesToRemove: [<module_name>, <module_name>]

Additional resources

Building a linux kernel module

4.7.1. Example Module CR

The following is an annotated Module example:

apiVersion: kmm.sigs.x-k8s.io/v1beta1
kind: Module
metadata:
  name: <my_kmod>
spec:
  moduleLoader:
    container:
      modprobe:
        moduleName: <my_kmod> 1
        dirName: /opt 2
        firmwarePath: /firmware 3
        parameters:  4
          - param=1
      kernelMappings:  5
        - literal: 6.0.15-300.fc37.x86_64
          containerImage: some.registry/org/my-kmod:6.0.15-300.fc37.x86_64
        - regexp: '^.+\fc37\.x86_64$' 6
          containerImage: "some.other.registry/org/<my_kmod>:${KERNEL_FULL_VERSION}"
        - regexp: '^.+$' 7
          containerImage: "some.registry/org/<my_kmod>:${KERNEL_FULL_VERSION}"
          build:
            buildArgs:  8
              - name: ARG_NAME
                value: <some_value>
            secrets:
              - name: <some_kubernetes_secret>  9
            baseImageRegistryTLS: 10
              insecure: false
              insecureSkipTLSVerify: false 11
            dockerfileConfigMap:  12
              name: <my_kmod_dockerfile>
          sign:
            certSecret:
              name: <cert_secret>  13
            keySecret:
              name: <key_secret>  14
            filesToSign:
              - /opt/lib/modules/${KERNEL_FULL_VERSION}/<my_kmod>.ko
          registryTLS: 15
            insecure: false 16
            insecureSkipTLSVerify: false
    serviceAccountName: <sa_module_loader>  17
  devicePlugin:  18
    container:
      image: some.registry/org/device-plugin:latest  19
      env:
        - name: MY_DEVICE_PLUGIN_ENV_VAR
          value: SOME_VALUE
      volumeMounts:  20
        - mountPath: /some/mountPath
          name: <device_plugin_volume>
    volumes:  21
      - name: <device_plugin_volume>
        configMap:
          name: <some_configmap>
    serviceAccountName: <sa_device_plugin> 22
  imageRepoSecret:  23
    name: <secret_name>
  selector:
    node-role.kubernetes.io/worker: ""

1 1 1: Required.
2: Optional.
3: Optional: Copies /firmware/* into /var/lib/firmware/ on the node.
4: Optional.
5: At least one kernel item is required.
6: For each node running a kernel matching the regular expression, KMM creates a DaemonSet resource running the image specified in containerImage with ${KERNEL_FULL_VERSION} replaced with the kernel version.
7: For any other kernel, build the image using the Dockerfile in the my-kmod ConfigMap.
8: Optional.
9: Optional: A value for some-kubernetes-secret can be obtained from the build environment at /run/secrets/some-kubernetes-secret.
10: This field has no effect. When building kmod images or signing kmods within a kmod image, you might sometimes need to pull base images from a registry that serves a certificate signed by an untrusted Certificate Authority (CA). In order for KMM to trust that CA, it must also trust the new CA by replacing the cluster’s CA bundle.
See "Additional resources" to learn how to replace the cluster’s CA bundle.
11: Optional: Avoid using this parameter. If set to true, the build will skip any TLS server certificate validation when pulling the image in the Dockerfile FROM instruction using plain HTTP.
12: Required.
13: Required: A secret holding the public secureboot key with the key 'cert'.
14: Required: A secret holding the private secureboot key with the key 'key'.
15: Optional: Avoid using this parameter. If set to true, KMM will be allowed to check if the container image already exists using plain HTTP.
16: Optional: Avoid using this parameter. If set to true, KMM will skip any TLS server certificate validation when checking if the container image already exists.
17: Optional.
18: Optional.
19: Required: If the device plugin section is present.
20: Optional.
21: Optional.
22: Optional.
23: Optional: Used to pull module loader and device plugin images.

Additional resources

Replacing the CA Bundle certificate

4.8. Symbolic links for in-tree dependencies

Some kernel modules depend on other kernel modules that are shipped with the node’s operating system. To avoid copying those dependencies into the kmod image, Kernel Module Management (KMM) mounts /usr/lib/modules into both the build and the worker pod’s filesystems.

By creating a symlink from /opt/usr/lib/modules/<kernel_version>/<symlink_name> to /usr/lib/modules/<kernel_version>, depmod can use the in-tree kmods on the building node’s filesystem to resolve dependencies.

At runtime, the worker pod extracts the entire image, including the <symlink_name> symbolic link. That symbolic link points to /usr/lib/modules/<kernel_version> in the worker pod, which is mounted from the node’s filesystem. modprobe can then follow that link and load the in-tree dependencies as needed.

In the following example, host is the symbolic link name under /opt/usr/lib/modules/<kernel_version>:

ARG DTK_AUTO

FROM ${DTK_AUTO} as builder

#
# Build steps
#

FROM ubi9/ubi

ARG KERNEL_FULL_VERSION

RUN dnf update && dnf install -y kmod

COPY --from=builder /usr/src/kernel-module-management/ci/kmm-kmod/kmm_ci_a.ko /opt/lib/modules/${KERNEL_FULL_VERSION}/
COPY --from=builder /usr/src/kernel-module-management/ci/kmm-kmod/kmm_ci_b.ko /opt/lib/modules/${KERNEL_FULL_VERSION}/

# Create the symbolic link
RUN ln -s /lib/modules/${KERNEL_FULL_VERSION} /opt/lib/modules/${KERNEL_FULL_VERSION}/host

RUN depmod -b /opt ${KERNEL_FULL_VERSION}

Note

depmod generates dependency files based on the kernel modules present on the node that runs the kmod image build.

On the node on which KMM loads the kernel modules, modprobe expects the files to be present under /usr/lib/modules/<kernel_version>, and the same filesystem layout. It is highly recommended that the build and the target nodes share the same operating system and release.

4.9. Creating a kmod image

Kernel Module Management (KMM) works with purpose-built kmod images, which are standard OCI images that contain .ko files. The location of the .ko files must match the following pattern: <prefix>/lib/modules/[kernel-version]/.

Keep the following in mind when working with the .ko files:

In most cases, <prefix> should be equal to /opt. This is the Module CRD’s default value.
kernel-version must not be empty and must be equal to the kernel version the kernel modules were built for.

4.9.1. Running depmod

It is recommended to run depmod at the end of the build process to generate modules.dep and .map files. This is especially useful if your kmod image contains several kernel modules and if one of the modules depends on another module.

Note

You must have a Red Hat subscription to download the kernel-devel package.

Procedure

Generate modules.dep and .map files for a specific kernel version by running the following command:
```
$ depmod -b /opt ${KERNEL_FULL_VERSION}+`.
```

4.9.1.1. Example Dockerfile

If you are building your image on OpenShift Container Platform, consider using the Driver Tool Kit (DTK).

For further information, see using an entitled build.

apiVersion: v1
kind: ConfigMap
metadata:
  name: kmm-ci-dockerfile
data:
  dockerfile: |
    ARG DTK_AUTO
    FROM ${DTK_AUTO} as builder
    ARG KERNEL_FULL_VERSION
    WORKDIR /usr/src
    RUN ["git", "clone", "https://github.com/rh-ecosystem-edge/kernel-module-management.git"]
    WORKDIR /usr/src/kernel-module-management/ci/kmm-kmod
    RUN KERNEL_SRC_DIR=/lib/modules/${KERNEL_FULL_VERSION}/build make all
    FROM registry.redhat.io/ubi9/ubi-minimal
    ARG KERNEL_FULL_VERSION
    RUN microdnf install kmod
    COPY --from=builder /usr/src/kernel-module-management/ci/kmm-kmod/kmm_ci_a.ko /opt/lib/modules/${KERNEL_FULL_VERSION}/
    COPY --from=builder /usr/src/kernel-module-management/ci/kmm-kmod/kmm_ci_b.ko /opt/lib/modules/${KERNEL_FULL_VERSION}/
    RUN depmod -b /opt ${KERNEL_FULL_VERSION}

Additional resources

Driver Toolkit

4.9.2. Building in the cluster

KMM can build kmod images in the cluster. Follow these guidelines:

Provide build instructions using the build section of a kernel mapping.
Copy the Dockerfile for your container image into a ConfigMap resource, under the dockerfile key.
Ensure that the ConfigMap is located in the same namespace as the Module.

KMM checks if the image name specified in the containerImage field exists. If it does, the build is skipped.

Otherwise, KMM creates a Build resource to build your image. After the image is built, KMM proceeds with the Module reconciliation. See the following example.

# ...
- regexp: '^.+$'
  containerImage: "some.registry/org/<my_kmod>:${KERNEL_FULL_VERSION}"
  build:
    buildArgs:  1
      - name: ARG_NAME
        value: <some_value>
    secrets: 2
      - name: <some_kubernetes_secret> 3
    baseImageRegistryTLS:
      insecure: false 4
      insecureSkipTLSVerify: false 5
    dockerfileConfigMap:  6
      name: <my_kmod_dockerfile>
  registryTLS:
    insecure: false 7
    insecureSkipTLSVerify: false 8

1: Optional.
2: Optional.
3: Will be mounted in the build pod as /run/secrets/some-kubernetes-secret.
4: Optional: Avoid using this parameter. If set to true, the build will be allowed to pull the image in the Dockerfile FROM instruction using plain HTTP.
5: Optional: Avoid using this parameter. If set to true, the build will skip any TLS server certificate validation when pulling the image in the Dockerfile FROM instruction using plain HTTP.
6: Required.
7: Optional: Avoid using this parameter. If set to true, KMM will be allowed to check if the container image already exists using plain HTTP.
8: Optional: Avoid using this parameter. If set to true, KMM will skip any TLS server certificate validation when checking if the container image already exists.

Successful build pods are garbage collected immediately, unless the job.gcDelay parameter is set in the Operator configuration. Failed build pods are always preserved and must be deleted manually by the administrator for the build to be restarted.

Additional resources

4.9.3. Using the Driver Toolkit

The Driver Toolkit (DTK) is a convenient base image for building build kmod loader images. It contains tools and libraries for the OpenShift version currently running in the cluster.

Procedure

Use DTK as the first stage of a multi-stage Dockerfile.

Build the kernel modules.
Copy the .ko files into a smaller end-user image such as ubi-minimal.

To leverage DTK in your in-cluster build, use the DTK_AUTO build argument. The value is automatically set by KMM when creating the Build resource. See the following example.

ARG DTK_AUTO
FROM ${DTK_AUTO} as builder
ARG KERNEL_FULL_VERSION
WORKDIR /usr/src
RUN ["git", "clone", "https://github.com/rh-ecosystem-edge/kernel-module-management.git"]
WORKDIR /usr/src/kernel-module-management/ci/kmm-kmod
RUN KERNEL_SRC_DIR=/lib/modules/${KERNEL_FULL_VERSION}/build make all
FROM ubi9/ubi-minimal
ARG KERNEL_FULL_VERSION
RUN microdnf install kmod
COPY --from=builder /usr/src/kernel-module-management/ci/kmm-kmod/kmm_ci_a.ko /opt/lib/modules/${KERNEL_FULL_VERSION}/
COPY --from=builder /usr/src/kernel-module-management/ci/kmm-kmod/kmm_ci_b.ko /opt/lib/modules/${KERNEL_FULL_VERSION}/
RUN depmod -b /opt ${KERNEL_FULL_VERSION}

Additional resources

Driver Toolkit

4.10. Using signing with Kernel Module Management (KMM)

On a Secure Boot enabled system, all kernel modules (kmods) must be signed with a public/private key-pair enrolled into the Machine Owner’s Key (MOK) database. Drivers distributed as part of a distribution should already be signed by the distribution’s private key, but for kernel modules build out-of-tree, KMM supports signing kernel modules using the sign section of the kernel mapping.

For more details on using Secure Boot, see Generating a public and private key pair

Prerequisites

A public private key pair in the correct (DER) format.
At least one secure-boot enabled node with the public key enrolled in its MOK database.
Either a pre-built driver container image, or the source code and Dockerfile needed to build one in-cluster.

4.11. Adding the keys for secureboot

To use KMM Kernel Module Management (KMM) to sign kernel modules, a certificate and private key are required. For details on how to create these, see Generating a public and private key pair.

For details on how to extract the public and private key pair, see Signing kernel modules with the private key. Use steps 1 through 4 to extract the keys into files.

Procedure

Create the sb_cert.cer file that contains the certificate and the sb_cert.priv file that contains the private key:

$ openssl req -x509 -new -nodes -utf8 -sha256 -days 36500 -batch -config configuration_file.config -outform DER -out my_signing_key_pub.der -keyout my_signing_key.priv

Add the files by using one of the following methods:

Add the files as secrets directly:

$ oc create secret generic my-signing-key --from-file=key=<my_signing_key.priv>

$ oc create secret generic my-signing-key-pub --from-file=cert=<my_signing_key_pub.der>

Add the files by base64 encoding them:

$ cat sb_cert.priv | base64 -w 0 > my_signing_key2.base64

$ cat sb_cert.cer | base64 -w 0 > my_signing_key_pub.base64

Add the encoded text to a YAML file:

apiVersion: v1
kind: Secret
metadata:
  name: my-signing-key-pub
  namespace: default 1
type: Opaque
data:
  cert: <base64_encoded_secureboot_public_key>

---
apiVersion: v1
kind: Secret
metadata:
  name: my-signing-key
  namespace: default 2
type: Opaque
data:
  key: <base64_encoded_secureboot_private_key>

1 2: namespace - Replace default with a valid namespace.

Apply the YAML file:
```
$ oc apply -f <yaml_filename>
```

4.11.1. Checking the keys

After you have added the keys, you must check them to ensure they are set correctly.

Procedure

Check to ensure the public key secret is set correctly:
```
$ oc get secret -o yaml <certificate secret name> | awk '/cert/{print $2; exit}' | base64 -d  | openssl x509 -inform der -text
```
This should display a certificate with a Serial Number, Issuer, Subject, and more.
Check to ensure the private key secret is set correctly:
```
$ oc get secret -o yaml <private key secret name> | awk '/key/{print $2; exit}' | base64 -d
```
This should display the key enclosed in the -----BEGIN PRIVATE KEY----- and -----END PRIVATE KEY----- lines.

4.12. Signing kmods in a pre-built image

Use this procedure if you have a pre-built image, such as an image either distributed by a hardware vendor or built elsewhere.

The following YAML file adds the public/private key-pair as secrets with the required key names - key for the private key, cert for the public key. The cluster then pulls down the unsignedImage image, opens it, signs the kernel modules listed in filesToSign, adds them back, and pushes the resulting image as containerImage.

KMM then loads the signed kmods onto all the nodes with that match the selector. The kmods are successfully loaded on any nodes that have the public key in their MOK database, and any nodes that are not secure-boot enabled, which will ignore the signature.

Prerequisites

The keySecret and certSecret secrets have been created in the same namespace as the rest of the resources.

Procedure

Apply the YAML file:

---
apiVersion: kmm.sigs.x-k8s.io/v1beta1
kind: Module
metadata:
  name: example-module
spec:
  moduleLoader:
    serviceAccountName: default
    container:
      modprobe: 1
        moduleName: '<module_name>'
      kernelMappings:
        # the kmods will be deployed on all nodes in the cluster with a kernel that matches the regexp
        - regexp: '^.*\.x86_64$'
          # the container to produce containing the signed kmods
          containerImage: <image_name> 2
          sign:
            # the image containing the unsigned kmods (we need this because we are not building the kmods within the cluster)
            unsignedImage: <image_name> 3
            keySecret: # a secret holding the private secureboot key with the key 'key'
              name: <private_key_secret_name>
            certSecret: # a secret holding the public secureboot key with the key 'cert'
              name: <certificate_secret_name>
            filesToSign: # full path within the unsignedImage container to the kmod(s) to sign
              - /opt/lib/modules/4.18.0-348.2.1.el8_5.x86_64/kmm_ci_a.ko
  imageRepoSecret:
    # the name of a secret containing credentials to pull unsignedImage and push containerImage to the registry
    name: repo-pull-secret
  selector:
    kubernetes.io/arch: amd64

1: The name of the kmod to load.
2: The name of the container image. For example, quay.io/myuser/my-driver:<kernelversion.
3: The name of the unsigned image. For example, quay.io/myuser/my-driver:<kernelversion.

4.13. Building and signing a kmod image

Use this procedure if you have source code and must build your image first.

The following YAML file builds a new container image using the source code from the repository. The image produced is saved back in the registry with a temporary name, and this temporary image is then signed using the parameters in the sign section.

The temporary image name is based on the final image name and is set to be <containerImage>:<tag>-<namespace>_<module name>_kmm_unsigned.

For example, using the following YAML file, Kernel Module Management (KMM) builds an image named example.org/repository/minimal-driver:final-default_example-module_kmm_unsigned containing the build with unsigned kmods and pushes it to the registry. Then it creates a second image named example.org/repository/minimal-driver:final that contains the signed kmods. It is this second image that is pulled by the worker pods and contains the kmods to be loaded on the cluster nodes.

After it is signed, you can safely delete the temporary image from the registry. It will be rebuilt, if needed.

Prerequisites

The keySecret and certSecret secrets have been created in the same namespace as the rest of the resources.

Procedure

Apply the YAML file:

---
apiVersion: v1
kind: ConfigMap
metadata:
  name: example-module-dockerfile
  namespace: <namespace> 1
data:
  Dockerfile: |
    ARG DTK_AUTO
    ARG KERNEL_VERSION
    FROM ${DTK_AUTO} as builder
    WORKDIR /build/
    RUN git clone -b main --single-branch https://github.com/rh-ecosystem-edge/kernel-module-management.git
    WORKDIR kernel-module-management/ci/kmm-kmod/
    RUN make
    FROM registry.access.redhat.com/ubi9/ubi:latest
    ARG KERNEL_VERSION
    RUN yum -y install kmod && yum clean all
    RUN mkdir -p /opt/lib/modules/${KERNEL_VERSION}
    COPY --from=builder /build/kernel-module-management/ci/kmm-kmod/*.ko /opt/lib/modules/${KERNEL_VERSION}/
    RUN /usr/sbin/depmod -b /opt
---
apiVersion: kmm.sigs.x-k8s.io/v1beta1
kind: Module
metadata:
  name: example-module
  namespace: <namespace> 2
spec:
  moduleLoader:
    serviceAccountName: default 3
    container:
      modprobe:
        moduleName: simple_kmod
      kernelMappings:
        - regexp: '^.*\.x86_64$'
          containerImage: <final_driver_container_name>
          build:
            dockerfileConfigMap:
              name: example-module-dockerfile
          sign:
            keySecret:
              name: <private_key_secret_name>
            certSecret:
              name: <certificate_secret_name>
            filesToSign:
              - /opt/lib/modules/4.18.0-348.2.1.el8_5.x86_64/kmm_ci_a.ko
  imageRepoSecret: 4
    name: repo-pull-secret
  selector: # top-level selector
    kubernetes.io/arch: amd64

1 2: Replace default with a valid namespace.
3: The default serviceAccountName does not have the required permissions to run a module that is privileged. For information on creating a service account, see "Creating service accounts" in the "Additional resources" of this section.
4: Used as imagePullSecrets in the DaemonSet object and to pull and push for the build and sign features.

Additional resources

Creating service accounts.

4.14. KMM hub and spoke

In hub and spoke scenarios, many spoke clusters are connected to a central, powerful hub cluster. Kernel Module Management (KMM) depends on Red Hat Advanced Cluster Management (RHACM) to operate in hub and spoke environments.

KMM is compatible with hub and spoke environments through decoupling KMM features. A ManagedClusterModule custom resource definition (CRD) is provided to wrap the existing Module CRD and extend it to select Spoke clusters. Also provided is KMM-Hub, a new standalone controller that builds images and signs modules on the hub cluster.

In hub and spoke setups, spokes are focused, resource-constrained clusters that are centrally managed by a hub cluster. Spokes run the single-cluster edition of KMM, with those resource-intensive features disabled. To adapt KMM to this environment, you should reduce the workload running on the spokes to the minimum, while the hub takes care of the expensive tasks.

Building kernel module images and signing the .ko files, should run on the hub. The scheduling of the Module Loader and Device Plugin DaemonSets can only happen on the spokes.

Additional resources

Red Hat Advanced Cluster Management (RHACM)

4.14.1. KMM-Hub

The KMM project provides KMM-Hub, an edition of KMM dedicated to hub clusters. KMM-Hub monitors all kernel versions running on the spokes and determines the nodes on the cluster that should receive a kernel module.

KMM-Hub runs all compute-intensive tasks such as image builds and kmod signing, and prepares the trimmed-down Module to be transferred to the spokes through RHACM.

Note

KMM-Hub cannot be used to load kernel modules on the hub cluster. Install the regular edition of KMM to load kernel modules.

Additional resources

Installing KMM

4.14.2. Installing KMM-Hub

You can use one of the following methods to install KMM-Hub:

With the Operator Lifecycle Manager (OLM)
Creating KMM resources

Additional resources

KMM Operator bundle

4.14.2.1. Installing KMM-Hub using the Operator Lifecycle Manager

Use the Operators section of the OpenShift console to install KMM-Hub.

4.14.2.2. Installing KMM-Hub by creating KMM resources

Procedure

If you want to install KMM-Hub programmatically, you can use the following resources to create the Namespace, OperatorGroup and Subscription resources:

---
apiVersion: v1
kind: Namespace
metadata:
  name: openshift-kmm-hub
---
apiVersion: operators.coreos.com/v1
kind: OperatorGroup
metadata:
  name: kernel-module-management-hub
  namespace: openshift-kmm-hub
---
apiVersion: operators.coreos.com/v1alpha1
kind: Subscription
metadata:
  name: kernel-module-management-hub
  namespace: openshift-kmm-hub
spec:
  channel: stable
  installPlanApproval: Automatic
  name: kernel-module-management-hub
  source: redhat-operators
  sourceNamespace: openshift-marketplace

4.14.3. Using the `ManagedClusterModule` CRD

Use the ManagedClusterModule Custom Resource Definition (CRD) to configure the deployment of kernel modules on spoke clusters. This CRD is cluster-scoped, wraps a Module spec and adds the following additional fields:

apiVersion: hub.kmm.sigs.x-k8s.io/v1beta1
kind: ManagedClusterModule
metadata:
  name: <my-mcm>
  # No namespace, because this resource is cluster-scoped.
spec:
  moduleSpec: 1
    selector: 2
      node-wants-my-mcm: 'true'

  spokeNamespace: <some-namespace> 3

  selector: 4
    wants-my-mcm: 'true'

1: moduleSpec: Contains moduleLoader and devicePlugin sections, similar to a Module resource.
2: Selects nodes within the ManagedCluster.
3: Specifies in which namespace the Module should be created.
4: Selects ManagedCluster objects.

If build or signing instructions are present in .spec.moduleSpec, those pods are run on the hub cluster in the operator’s namespace.

When the .spec.selector matches one or more ManagedCluster resources, then KMM-Hub creates a ManifestWork resource in the corresponding namespace(s). ManifestWork contains a trimmed-down Module resource, with kernel mappings preserved but all build and sign subsections are removed. containerImage fields that contain image names ending with a tag are replaced with their digest equivalent.

4.14.4. Running KMM on the spoke

After installing Kernel Module Management (KMM) on the spoke, no further action is required. Create a ManagedClusterModule object from the hub to deploy kernel modules on spoke clusters.

Procedure

You can install KMM on the spokes cluster through a RHACM Policy object. In addition to installing KMM from the OperatorHub and running it in a lightweight spoke mode, the Policy configures additional RBAC required for the RHACM agent to be able to manage Module resources.

Use the following RHACM policy to install KMM on spoke clusters:

---
apiVersion: policy.open-cluster-management.io/v1
kind: Policy
metadata:
  name: install-kmm
spec:
  remediationAction: enforce
  disabled: false
  policy-templates:
    - objectDefinition:
        apiVersion: policy.open-cluster-management.io/v1
        kind: ConfigurationPolicy
        metadata:
          name: install-kmm
        spec:
          severity: high
          object-templates:
          - complianceType: mustonlyhave
            objectDefinition:
              apiVersion: v1
              kind: Namespace
              metadata:
                name: openshift-kmm
          - complianceType: mustonlyhave
            objectDefinition:
              apiVersion: operators.coreos.com/v1
              kind: OperatorGroup
              metadata:
                name: kmm
                namespace: openshift-kmm
              spec:
                upgradeStrategy: Default
          - complianceType: mustonlyhave
            objectDefinition:
              apiVersion: operators.coreos.com/v1alpha1
              kind: Subscription
              metadata:
                name: kernel-module-management
                namespace: openshift-kmm
              spec:
                channel: stable
                config:
                  env:
                    - name: KMM_MANAGED 1
                      value: "1"
                installPlanApproval: Automatic
                name: kernel-module-management
                source: redhat-operators
                sourceNamespace: openshift-marketplace
          - complianceType: mustonlyhave
            objectDefinition:
              apiVersion: rbac.authorization.k8s.io/v1
              kind: ClusterRole
              metadata:
                name: kmm-module-manager
              rules:
                - apiGroups: [kmm.sigs.x-k8s.io]
                  resources: [modules]
                  verbs: [create, delete, get, list, patch, update, watch]
          - complianceType: mustonlyhave
            objectDefinition:
              apiVersion: rbac.authorization.k8s.io/v1
              kind: ClusterRoleBinding
              metadata:
                name: klusterlet-kmm
              subjects:
              - kind: ServiceAccount
                name: klusterlet-work-sa
                namespace: open-cluster-management-agent
              roleRef:
                kind: ClusterRole
                name: kmm-module-manager
                apiGroup: rbac.authorization.k8s.io
---
apiVersion: apps.open-cluster-management.io/v1
kind: PlacementRule
metadata:
  name: all-managed-clusters
spec:
  clusterSelector: 2
    matchExpressions: []
---
apiVersion: policy.open-cluster-management.io/v1
kind: PlacementBinding
metadata:
  name: install-kmm
placementRef:
  apiGroup: apps.open-cluster-management.io
  kind: PlacementRule
  name: all-managed-clusters
subjects:
  - apiGroup: policy.open-cluster-management.io
    kind: Policy
    name: install-kmm

1: This environment variable is required when running KMM on a spoke cluster.
2: The spec.clusterSelector field can be customized to target select clusters only.

4.15. Customizing upgrades for kernel modules

Use this procedure to upgrade the kernel module while running maintenance operations on the node, including rebooting the node, if needed. To minimize the impact on the workloads running in the cluster, run the kernel upgrade process sequentially, one node at a time.

Note

This procedure requires knowledge of the workload utilizing the kernel module and must be managed by the cluster administrator.

Prerequisites

Before upgrading, set the kmm.node.kubernetes.io/version-module.<module_namespace>.<module_name>=$moduleVersion label on all the nodes that are used by the kernel module.
Terminate all user application workloads on the node or move them to another node.
Unload the currently loaded kernel module.
Ensure that the user workload (the application running in the cluster that is accessing kernel module) is not running on the node prior to kernel module unloading and that the workload is back running on the node after the new kernel module version has been loaded.

Procedure

Ensure that the device plugin managed by KMM on the node is unloaded.
Update the following fields in the Module custom resource (CR):
- containerImage (to the appropriate kernel version)
- version
  The update should be atomic; that is, both the containerImage and version fields must be updated simultaneously.
Terminate any workload using the kernel module on the node being upgraded.
Remove the kmm.node.kubernetes.io/version-module.<module_namespace>.<module_name> label on the node. Run the following command to unload the kernel module from the node:
```
$ oc label node/<node_name> kmm.node.kubernetes.io/version-module.<module_namespace>.<module_name>-
```
If required, as the cluster administrator, perform any additional maintenance required on the node for the kernel module upgrade.
If no additional upgrading is needed, you can skip Steps 3 through 6 by updating the kmm.node.kubernetes.io/version-module.<module_namespace>.<module_name> label value to the new $moduleVersion as set in the Module.
Run the following command to add the kmm.node.kubernetes.io/version-module.<module_namespace>.<module_name>=$moduleVersion label to the node. The $moduleVersion must be equal to the new value of the version field in the Module CR.
```
$ oc label node/<node_name> kmm.node.kubernetes.io/version-module.<module_namespace>.<module_name>=<desired_version>
```
Note
Because of Kubernetes limitations in label names, the combined length of Module name and namespace must not exceed 39 characters.
Restore any workload that leverages the kernel module on the node.
Reload the device plugin managed by KMM on the node.

4.16. Day 1 kernel module loading

Kernel Module Management (KMM) is typically a Day 2 Operator. Kernel modules are loaded only after the complete initialization of a Linux (RHCOS) server. However, in some scenarios the kernel module must be loaded at an earlier stage. Day 1 functionality allows you to use the Machine Config Operator (MCO) to load kernel modules during the Linux systemd initialization stage.

Additional resources

Machine Config Operator

4.16.1. Day 1 supported use cases

The Day 1 functionality supports a limited number of use cases. The main use case is to allow loading out-of-tree (OOT) kernel modules prior to NetworkManager service initialization. It does not support loading kernel module at the initramfs stage.

The following are the conditions needed for Day 1 functionality:

The kernel module is not loaded in the kernel.
The in-tree kernel module is loaded into the kernel, but can be unloaded and replaced by the OOT kernel module. This means that the in-tree module is not referenced by any other kernel modules.
In order for Day 1 functionlity to work, the node must have a functional network interface, that is, an in-tree kernel driver for that interface. The OOT kernel module can be a network driver that will replace the functional network driver.

4.16.2. OOT kernel module loading flow

The loading of the out-of-tree (OOT) kernel module leverages the Machine Config Operator (MCO). The flow sequence is as follows:

Procedure

Apply a MachineConfig resource to the existing running cluster. In order to identify the necessary nodes that need to be updated, you must create an appropriate MachineConfigPool resource.
MCO applies the reboots node by node. On any rebooted node, two new systemd services are deployed: pull service and load service.
The load service is configured to run prior to the NetworkConfiguration service. The service tries to pull a predefined kernel module image and then, using that image, to unload an in-tree module and load an OOT kernel module.
The pull service is configured to run after NetworkManager service. The service checks if the preconfigured kernel module image is located on the node’s filesystem. If it is, the service exists normally, and the server continues with the boot process. If not, it pulls the image onto the node and reboots the node afterwards.

4.16.3. The kernel module image

The Day 1 functionality uses the same DTK based image leveraged by Day 2 KMM builds. The out-of-tree kernel module should be located under /opt/lib/modules/${kernelVersion}.

Additional resources

Driver Toolkit

4.16.4. In-tree module replacement

The Day 1 functionality always tries to replace the in-tree kernel module with the OOT version. If the in-tree kernel module is not loaded, the flow is not affected; the service proceeds and loads the OOT kernel module.

4.16.5. MCO yaml creation

KMM provides an API to create an MCO YAML manifest for the Day 1 functionality:

ProduceMachineConfig(machineConfigName, machineConfigPoolRef, kernelModuleImage, kernelModuleName string) (string, error)

The returned output is a string representation of the MCO YAML manifest to be applied. It is up to the customer to apply this YAML.

The parameters are:

machineConfigName: The name of the MCO YAML manifest. This parameter is set as the name parameter of the metadata of the MCO YAML manifest.
machineConfigPoolRef: The MachineConfigPool name used to identify the targeted nodes.
kernelModuleImage: The name of the container image that includes the OOT kernel module.
kernelModuleName: The name of the OOT kernel module. This parameter is used both to unload the in-tree kernel module (if loaded into the kernel) and to load the OOT kernel module.

The API is located under pkg/mcproducer package of the KMM source code. The KMM operator does not need to be running to use the Day 1 functionality. You only need to import the pkg/mcproducer package into their operator/utility code, call the API, and apply the produced MCO YAML to the cluster.

4.16.6. The MachineConfigPool

The MachineConfigPool identifies a collection of nodes that are affected by the applied MCO.

kind: MachineConfigPool
metadata:
  name: sfc
spec:
  machineConfigSelector: 1
    matchExpressions:
      - {key: machineconfiguration.openshift.io/role, operator: In, values: [worker, sfc]}
  nodeSelector: 2
    matchLabels:
      node-role.kubernetes.io/sfc: ""
  paused: false
  maxUnavailable: 1

1: Matches the labels in the MachineConfig.
2: Matches the labels on the node.

There are predefined MachineConfigPools in the OCP cluster:

worker: Targets all worker nodes in the cluster
master: Targets all master nodes in the cluster

Define the following MachineConfig to target the master MachineConfigPool:

metadata:
  labels:
    machineconfiguration.opensfhit.io/role: master

Define the following MachineConfig to target the worker MachineConfigPool:

metadata:
  labels:
    machineconfiguration.opensfhit.io/role: worker

Additional resources

About MachineConfigPool

4.17. Debugging and troubleshooting

If the kmods in your driver container are not signed or are signed with the wrong key, then the container can enter a PostStartHookError or CrashLoopBackOff status. You can verify by running the oc describe command on your container, which displays the following message in this scenario:

modprobe: ERROR: could not insert '<your_kmod_name>': Required key not available

4.18. KMM firmware support

Kernel modules sometimes need to load firmware files from the file system. KMM supports copying firmware files from the kmod image to the node’s file system.

The contents of .spec.moduleLoader.container.modprobe.firmwarePath are copied into the /var/lib/firmware path on the node before running the modprobe command to insert the kernel module.

All files and empty directories are removed from that location before running the modprobe -r command to unload the kernel module, when the pod is terminated.

4.18.1. Configuring the lookup path on nodes

On OpenShift Container Platform nodes, the set of default lookup paths for firmwares does not include the /var/lib/firmware path.

Procedure

Use the Machine Config Operator to create a MachineConfig custom resource (CR) that contains the /var/lib/firmware path:

apiVersion: machineconfiguration.openshift.io/v1
kind: MachineConfig
metadata:
  labels:
    machineconfiguration.openshift.io/role: worker 1
  name: 99-worker-kernel-args-firmware-path
spec:
  kernelArguments:
    - 'firmware_class.path=/var/lib/firmware'

1: You can configure the label based on your needs. In the case of single-node OpenShift, use either control-pane or master objects.

By applying the MachineConfig CR, the nodes are automatically rebooted.

Additional resources

Machine Config Operator.

4.18.2. Building a kmod image

Procedure

In addition to building the kernel module itself, include the binary firmware in the builder image:

FROM registry.redhat.io/ubi9/ubi-minimal as builder

# Build the kmod

RUN ["mkdir", "/firmware"]
RUN ["curl", "-o", "/firmware/firmware.bin", "https://artifacts.example.com/firmware.bin"]

FROM registry.redhat.io/ubi9/ubi-minimal

# Copy the kmod, install modprobe, run depmod

COPY --from=builder /firmware /firmware

4.18.3. Tuning the Module resource

Procedure

Set .spec.moduleLoader.container.modprobe.firmwarePath in the Module custom resource (CR):

apiVersion: kmm.sigs.x-k8s.io/v1beta1
kind: Module
metadata:
  name: my-kmod
spec:
  moduleLoader:
    container:
      modprobe:
        moduleName: my-kmod  # Required

        firmwarePath: /firmware 1

1: Optional: Copies /firmware/* into /var/lib/firmware/ on the node.

4.19. Day 0 through Day 2 kmod installation

You can install some kernel modules (kmods) during Day 0 through Day 2 operations without Kernel Module Management (KMM). This could assist in the transition of the kmods to KMM.

Use the following criteria to determine suitable kmod installations.

Day 0

The most basic kmods that are required for a node to become Ready in the cluster. Examples of these types of kmods include:

A storage driver that is required to mount the rootFS as part of the boot process
A network driver that is required for the machine to access machine-config-server on the bootstrap node to pull the ignition and join the cluster

Day 1

Kmods that are not required for a node to become Ready in the cluster but cannot be unloaded when the node is Ready.

An example of this type of kmod is an out-of-tree (OOT) network driver that replaces an outdated in-tree driver to exploit the full potential of the NIC while NetworkManager depends on it. When the node is Ready, you cannot unload the driver because of the NetworkManager dependency.

Day 2

Kmods that can be dynamically loaded to the kernel or removed from it without interfering with the cluster infrastructure, for example, connectivity.

Examples of these types of kmods include:

GPU operators
Secondary network adapters
field-programmable gate arrays (FPGAs)

4.19.1. Layering background

When a Day 0 kmod is installed in the cluster, layering is applied through the Machine Config Operator (MCO) and OpenShift Container Platform upgrades do not trigger node upgrades.

You only need to recompile the driver if you add new features to it, because the node’s operating system will remain the same.

4.19.2. Lifecycle management

You can leverage KMM to manage the Day 0 through Day 2 lifecycle of kmods without a reboot when the driver allows it.

Note

This will not work if the upgrade requires a node reboot, for example, when rebuilding initramfs files is needed.

Use one of the following options for lifecycle management.

4.19.2.1. Treat the kmod as an in-tree driver

Use this method when you want to upgrade the kmods. In this case, treat the kmod as an in-tree driver and create a Module in the cluster with the inTreeRemoval field to unload the old version of the driver.

Note the following characteristics of treating the kmod as an in-tree driver:

Downtime might occur as KMM tries to unload and load the kmod on all the selected nodes simultaneously.
This works if removing the driver makes the node lose connectivity because KMM uses a single pod to unload and load the driver.

4.19.2.2. Use ordered upgrade

You can use ordered upgrade (ordered_upgrade.md) to create a versioned Module in the cluster representing the kmods with no effect, because the kmods are already loaded.

Note the following characteristics of using ordered upgrade:

There is no cluster downtime because you control the pace of the upgrade and how many nodes are upgraded at the same time; therefore, an upgrade with no downtime is possible.
This method will not work if unloading the driver results in losing connection to the node, because KMM creates two different worker pods for unloading and another for loading. These pods will not be scheduled.

4.20. Troubleshooting KMM

When troubleshooting KMM installation issues, you can monitor logs to determine at which stage issues occur. Then, retrieve diagnostic data relevant to that stage.

4.20.1. Reading Operator logs

You can use the oc logs command to read Operator logs, as in the following examples.

Example command for KMM controller

$ oc logs -fn openshift-kmm deployments/kmm-operator-controller

Example command for KMM webhook server

$ oc logs -fn openshift-kmm deployments/kmm-operator-webhook-server

Example command for KMM-Hub controller

$ oc logs -fn openshift-kmm-hub deployments/kmm-operator-hub-controller

Example command for KMM-Hub webhook server

$ oc logs -fn openshift-kmm deployments/kmm-operator-hub-webhook-server

4.20.2. Observing events

Use the following methods to view KMM events.

Build & sign

KMM publishes events whenever it starts a kmod image build or observes its outcome. These events are attached to Module objects and are available at the end of the output of oc describe module command, as in the following example:

$ oc describe modules.kmm.sigs.x-k8s.io kmm-ci-a
[...]
Events:
  Type    Reason          Age                From  Message
  ----    ------          ----               ----  -------
  Normal  BuildCreated    2m29s              kmm   Build created for kernel 6.6.2-201.fc39.x86_64
  Normal  BuildSucceeded  63s                kmm   Build job succeeded for kernel 6.6.2-201.fc39.x86_64
  Normal  SignCreated     64s (x2 over 64s)  kmm   Sign created for kernel 6.6.2-201.fc39.x86_64
  Normal  SignSucceeded   57s                kmm   Sign job succeeded for kernel 6.6.2-201.fc39.x86_64

Module load or unload

KMM publishes events whenever it successfully loads or unloads a kernel module on a node. These events are attached to Node objects and are available at the end of the output of oc describe node command, as in the following example:

$ oc describe node my-node
[...]
Events:
  Type    Reason          Age    From  Message
  ----    ------          ----   ----  -------
[...]
  Normal  ModuleLoaded    4m17s  kmm   Module default/kmm-ci-a loaded into the kernel
  Normal  ModuleUnloaded  2s     kmm   Module default/kmm-ci-a unloaded from the kernel

4.20.3. Using the must-gather tool

The oc adm must-gather command is the preferred way to collect a support bundle and provide debugging information to Red Hat Support. Collect specific information by running the command with the appropriate arguments as described in the following sections.

Additional resources

About the must-gather tool

4.20.3.1. Gathering data for KMM

Procedure

Gather the data for the KMM Operator controller manager:

Set the MUST_GATHER_IMAGE variable:

$ export MUST_GATHER_IMAGE=$(oc get deployment -n openshift-kmm kmm-operator-controller -ojsonpath='{.spec.template.spec.containers[?(@.name=="manager")].env[?(@.name=="RELATED_IMAGE_MUST_GATHER")].value}')
$ oc adm must-gather --image="${MUST_GATHER_IMAGE}" -- /usr/bin/gather

Note

Use the -n <namespace> switch to specify a namespace if you installed KMM in a custom namespace.

Run the must-gather tool:

$ oc adm must-gather --image="${MUST_GATHER_IMAGE}" -- /usr/bin/gather

View the Operator logs:

$ oc logs -fn openshift-kmm deployments/kmm-operator-controller

Example 4.1. Example output

I0228 09:36:37.352405       1 request.go:682] Waited for 1.001998746s due to client-side throttling, not priority and fairness, request: GET:https://172.30.0.1:443/apis/machine.openshift.io/v1beta1?timeout=32s
I0228 09:36:40.767060       1 listener.go:44] kmm/controller-runtime/metrics "msg"="Metrics server is starting to listen" "addr"="127.0.0.1:8080"
I0228 09:36:40.769483       1 main.go:234] kmm/setup "msg"="starting manager"
I0228 09:36:40.769907       1 internal.go:366] kmm "msg"="Starting server" "addr"={"IP":"127.0.0.1","Port":8080,"Zone":""} "kind"="metrics" "path"="/metrics"
I0228 09:36:40.770025       1 internal.go:366] kmm "msg"="Starting server" "addr"={"IP":"::","Port":8081,"Zone":""} "kind"="health probe"
I0228 09:36:40.770128       1 leaderelection.go:248] attempting to acquire leader lease openshift-kmm/kmm.sigs.x-k8s.io...
I0228 09:36:40.784396       1 leaderelection.go:258] successfully acquired lease openshift-kmm/kmm.sigs.x-k8s.io
I0228 09:36:40.784876       1 controller.go:185] kmm "msg"="Starting EventSource" "controller"="Module" "controllerGroup"="kmm.sigs.x-k8s.io" "controllerKind"="Module" "source"="kind source: *v1beta1.Module"
I0228 09:36:40.784925       1 controller.go:185] kmm "msg"="Starting EventSource" "controller"="Module" "controllerGroup"="kmm.sigs.x-k8s.io" "controllerKind"="Module" "source"="kind source: *v1.DaemonSet"
I0228 09:36:40.784968       1 controller.go:185] kmm "msg"="Starting EventSource" "controller"="Module" "controllerGroup"="kmm.sigs.x-k8s.io" "controllerKind"="Module" "source"="kind source: *v1.Build"
I0228 09:36:40.785001       1 controller.go:185] kmm "msg"="Starting EventSource" "controller"="Module" "controllerGroup"="kmm.sigs.x-k8s.io" "controllerKind"="Module" "source"="kind source: *v1.Job"
I0228 09:36:40.785025       1 controller.go:185] kmm "msg"="Starting EventSource" "controller"="Module" "controllerGroup"="kmm.sigs.x-k8s.io" "controllerKind"="Module" "source"="kind source: *v1.Node"
I0228 09:36:40.785039       1 controller.go:193] kmm "msg"="Starting Controller" "controller"="Module" "controllerGroup"="kmm.sigs.x-k8s.io" "controllerKind"="Module"
I0228 09:36:40.785458       1 controller.go:185] kmm "msg"="Starting EventSource" "controller"="PodNodeModule" "controllerGroup"="" "controllerKind"="Pod" "source"="kind source: *v1.Pod"
I0228 09:36:40.786947       1 controller.go:185] kmm "msg"="Starting EventSource" "controller"="PreflightValidation" "controllerGroup"="kmm.sigs.x-k8s.io" "controllerKind"="PreflightValidation" "source"="kind source: *v1beta1.PreflightValidation"
I0228 09:36:40.787406       1 controller.go:185] kmm "msg"="Starting EventSource" "controller"="PreflightValidation" "controllerGroup"="kmm.sigs.x-k8s.io" "controllerKind"="PreflightValidation" "source"="kind source: *v1.Build"
I0228 09:36:40.787474       1 controller.go:185] kmm "msg"="Starting EventSource" "controller"="PreflightValidation" "controllerGroup"="kmm.sigs.x-k8s.io" "controllerKind"="PreflightValidation" "source"="kind source: *v1.Job"
I0228 09:36:40.787488       1 controller.go:185] kmm "msg"="Starting EventSource" "controller"="PreflightValidation" "controllerGroup"="kmm.sigs.x-k8s.io" "controllerKind"="PreflightValidation" "source"="kind source: *v1beta1.Module"
I0228 09:36:40.787603       1 controller.go:185] kmm "msg"="Starting EventSource" "controller"="NodeKernel" "controllerGroup"="" "controllerKind"="Node" "source"="kind source: *v1.Node"
I0228 09:36:40.787634       1 controller.go:193] kmm "msg"="Starting Controller" "controller"="NodeKernel" "controllerGroup"="" "controllerKind"="Node"
I0228 09:36:40.787680       1 controller.go:193] kmm "msg"="Starting Controller" "controller"="PreflightValidation" "controllerGroup"="kmm.sigs.x-k8s.io" "controllerKind"="PreflightValidation"
I0228 09:36:40.785607       1 controller.go:185] kmm "msg"="Starting EventSource" "controller"="imagestream" "controllerGroup"="image.openshift.io" "controllerKind"="ImageStream" "source"="kind source: *v1.ImageStream"
I0228 09:36:40.787822       1 controller.go:185] kmm "msg"="Starting EventSource" "controller"="preflightvalidationocp" "controllerGroup"="kmm.sigs.x-k8s.io" "controllerKind"="PreflightValidationOCP" "source"="kind source: *v1beta1.PreflightValidationOCP"
I0228 09:36:40.787853       1 controller.go:193] kmm "msg"="Starting Controller" "controller"="imagestream" "controllerGroup"="image.openshift.io" "controllerKind"="ImageStream"
I0228 09:36:40.787879       1 controller.go:185] kmm "msg"="Starting EventSource" "controller"="preflightvalidationocp" "controllerGroup"="kmm.sigs.x-k8s.io" "controllerKind"="PreflightValidationOCP" "source"="kind source: *v1beta1.PreflightValidation"
I0228 09:36:40.787905       1 controller.go:193] kmm "msg"="Starting Controller" "controller"="preflightvalidationocp" "controllerGroup"="kmm.sigs.x-k8s.io" "controllerKind"="PreflightValidationOCP"
I0228 09:36:40.786489       1 controller.go:193] kmm "msg"="Starting Controller" "controller"="PodNodeModule" "controllerGroup"="" "controllerKind"="Pod"

4.20.3.2. Gathering data for KMM-Hub

Procedure

Gather the data for the KMM Operator hub controller manager:

Set the MUST_GATHER_IMAGE variable:

$ export MUST_GATHER_IMAGE=$(oc get deployment -n openshift-kmm-hub kmm-operator-hub-controller -ojsonpath='{.spec.template.spec.containers[?(@.name=="manager")].env[?(@.name=="RELATED_IMAGE_MUST_GATHER")].value}')
$ oc adm must-gather --image="${MUST_GATHER_IMAGE}" -- /usr/bin/gather -u

Note

Use the -n <namespace> switch to specify a namespace if you installed KMM in a custom namespace.

Run the must-gather tool:

$ oc adm must-gather --image="${MUST_GATHER_IMAGE}" -- /usr/bin/gather -u

View the Operator logs:

$ oc logs -fn openshift-kmm-hub deployments/kmm-operator-hub-controller

Example 4.2. Example output

I0417 11:34:08.807472       1 request.go:682] Waited for 1.023403273s due to client-side throttling, not priority and fairness, request: GET:https://172.30.0.1:443/apis/tuned.openshift.io/v1?timeout=32s
I0417 11:34:12.373413       1 listener.go:44] kmm-hub/controller-runtime/metrics "msg"="Metrics server is starting to listen" "addr"="127.0.0.1:8080"
I0417 11:34:12.376253       1 main.go:150] kmm-hub/setup "msg"="Adding controller" "name"="ManagedClusterModule"
I0417 11:34:12.376621       1 main.go:186] kmm-hub/setup "msg"="starting manager"
I0417 11:34:12.377690       1 leaderelection.go:248] attempting to acquire leader lease openshift-kmm-hub/kmm-hub.sigs.x-k8s.io...
I0417 11:34:12.378078       1 internal.go:366] kmm-hub "msg"="Starting server" "addr"={"IP":"127.0.0.1","Port":8080,"Zone":""} "kind"="metrics" "path"="/metrics"
I0417 11:34:12.378222       1 internal.go:366] kmm-hub "msg"="Starting server" "addr"={"IP":"::","Port":8081,"Zone":""} "kind"="health probe"
I0417 11:34:12.395703       1 leaderelection.go:258] successfully acquired lease openshift-kmm-hub/kmm-hub.sigs.x-k8s.io
I0417 11:34:12.396334       1 controller.go:185] kmm-hub "msg"="Starting EventSource" "controller"="ManagedClusterModule" "controllerGroup"="hub.kmm.sigs.x-k8s.io" "controllerKind"="ManagedClusterModule" "source"="kind source: *v1beta1.ManagedClusterModule"
I0417 11:34:12.396403       1 controller.go:185] kmm-hub "msg"="Starting EventSource" "controller"="ManagedClusterModule" "controllerGroup"="hub.kmm.sigs.x-k8s.io" "controllerKind"="ManagedClusterModule" "source"="kind source: *v1.ManifestWork"
I0417 11:34:12.396430       1 controller.go:185] kmm-hub "msg"="Starting EventSource" "controller"="ManagedClusterModule" "controllerGroup"="hub.kmm.sigs.x-k8s.io" "controllerKind"="ManagedClusterModule" "source"="kind source: *v1.Build"
I0417 11:34:12.396469       1 controller.go:185] kmm-hub "msg"="Starting EventSource" "controller"="ManagedClusterModule" "controllerGroup"="hub.kmm.sigs.x-k8s.io" "controllerKind"="ManagedClusterModule" "source"="kind source: *v1.Job"
I0417 11:34:12.396522       1 controller.go:185] kmm-hub "msg"="Starting EventSource" "controller"="ManagedClusterModule" "controllerGroup"="hub.kmm.sigs.x-k8s.io" "controllerKind"="ManagedClusterModule" "source"="kind source: *v1.ManagedCluster"
I0417 11:34:12.396543       1 controller.go:193] kmm-hub "msg"="Starting Controller" "controller"="ManagedClusterModule" "controllerGroup"="hub.kmm.sigs.x-k8s.io" "controllerKind"="ManagedClusterModule"
I0417 11:34:12.397175       1 controller.go:185] kmm-hub "msg"="Starting EventSource" "controller"="imagestream" "controllerGroup"="image.openshift.io" "controllerKind"="ImageStream" "source"="kind source: *v1.ImageStream"
I0417 11:34:12.397221       1 controller.go:193] kmm-hub "msg"="Starting Controller" "controller"="imagestream" "controllerGroup"="image.openshift.io" "controllerKind"="ImageStream"
I0417 11:34:12.498335       1 filter.go:196] kmm-hub "msg"="Listing all ManagedClusterModules" "managedcluster"="local-cluster"
I0417 11:34:12.498570       1 filter.go:205] kmm-hub "msg"="Listed ManagedClusterModules" "count"=0 "managedcluster"="local-cluster"
I0417 11:34:12.498629       1 filter.go:238] kmm-hub "msg"="Adding reconciliation requests" "count"=0 "managedcluster"="local-cluster"
I0417 11:34:12.498687       1 filter.go:196] kmm-hub "msg"="Listing all ManagedClusterModules" "managedcluster"="sno1-0"
I0417 11:34:12.498750       1 filter.go:205] kmm-hub "msg"="Listed ManagedClusterModules" "count"=0 "managedcluster"="sno1-0"
I0417 11:34:12.498801       1 filter.go:238] kmm-hub "msg"="Adding reconciliation requests" "count"=0 "managedcluster"="sno1-0"
I0417 11:34:12.501947       1 controller.go:227] kmm-hub "msg"="Starting workers" "controller"="imagestream" "controllerGroup"="image.openshift.io" "controllerKind"="ImageStream" "worker count"=1
I0417 11:34:12.501948       1 controller.go:227] kmm-hub "msg"="Starting workers" "controller"="ManagedClusterModule" "controllerGroup"="hub.kmm.sigs.x-k8s.io" "controllerKind"="ManagedClusterModule" "worker count"=1
I0417 11:34:12.502285       1 imagestream_reconciler.go:50] kmm-hub "msg"="registered imagestream info mapping" "ImageStream"={"name":"driver-toolkit","namespace":"openshift"} "controller"="imagestream" "controllerGroup"="image.openshift.io" "controllerKind"="ImageStream" "dtkImage"="quay.io/openshift-release-dev/ocp-v4.0-art-dev@sha256:df42b4785a7a662b30da53bdb0d206120cf4d24b45674227b16051ba4b7c3934" "name"="driver-toolkit" "namespace"="openshift" "osImageVersion"="412.86.202302211547-0" "reconcileID"="e709ff0a-5664-4007-8270-49b5dff8bae9"

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Modified versions must remove all Red Hat trademarks.

Portions adapted from https://github.com/kubernetes-incubator/service-catalog/ with modifications by Red Hat.

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