Compute, Storage, and Networking Extensions

• 1: Network Plugins
• 2: Device Plugins

1 - Network Plugins

Kubernetes (version 1.3 through to the latest 1.31, and likely onwards) lets you use Container Network Interface (CNI) plugins for cluster networking. You must use a CNI plugin that is compatible with your cluster and that suits your needs. Different plugins are available (both open- and closed- source) in the wider Kubernetes ecosystem.

A CNI plugin is required to implement the Kubernetes network model.

You must use a CNI plugin that is compatible with the v0.4.0 or later releases of the CNI specification. The Kubernetes project recommends using a plugin that is compatible with the v1.0.0 CNI specification (plugins can be compatible with multiple spec versions).

Installation

A Container Runtime, in the networking context, is a daemon on a node configured to provide CRI Services for kubelet. In particular, the Container Runtime must be configured to load the CNI plugins required to implement the Kubernetes network model.

For specific information about how a Container Runtime manages the CNI plugins, see the documentation for that Container Runtime, for example:

• containerd
• CRI-O

For specific information about how to install and manage a CNI plugin, see the documentation for that plugin or networking provider.

Network Plugin Requirements

Loopback CNI

In addition to the CNI plugin installed on the nodes for implementing the Kubernetes network model, Kubernetes also requires the container runtimes to provide a loopback interface lo, which is used for each sandbox (pod sandboxes, vm sandboxes, ...). Implementing the loopback interface can be accomplished by re-using the CNI loopback plugin. or by developing your own code to achieve this (see this example from CRI-O).

Support hostPort

The CNI networking plugin supports hostPort. You can use the official portmap plugin offered by the CNI plugin team or use your own plugin with portMapping functionality.

If you want to enable hostPort support, you must specify portMappings capability in your cni-conf-dir. For example:

{
  "name": "k8s-pod-network",
  "cniVersion": "0.4.0",
  "plugins": [
    {
      "type": "calico",
      "log_level": "info",
      "datastore_type": "kubernetes",
      "nodename": "127.0.0.1",
      "ipam": {
        "type": "host-local",
        "subnet": "usePodCidr"
      },
      "policy": {
        "type": "k8s"
      },
      "kubernetes": {
        "kubeconfig": "/etc/cni/net.d/calico-kubeconfig"
      }
    },
    {
      "type": "portmap",
      "capabilities": {"portMappings": true},
      "externalSetMarkChain": "KUBE-MARK-MASQ"
    }
  ]
}

Support traffic shaping

Experimental Feature

The CNI networking plugin also supports pod ingress and egress traffic shaping. You can use the official bandwidth plugin offered by the CNI plugin team or use your own plugin with bandwidth control functionality.

If you want to enable traffic shaping support, you must add the bandwidth plugin to your CNI configuration file (default /etc/cni/net.d) and ensure that the binary is included in your CNI bin dir (default /opt/cni/bin).

{
  "name": "k8s-pod-network",
  "cniVersion": "0.4.0",
  "plugins": [
    {
      "type": "calico",
      "log_level": "info",
      "datastore_type": "kubernetes",
      "nodename": "127.0.0.1",
      "ipam": {
        "type": "host-local",
        "subnet": "usePodCidr"
      },
      "policy": {
        "type": "k8s"
      },
      "kubernetes": {
        "kubeconfig": "/etc/cni/net.d/calico-kubeconfig"
      }
    },
    {
      "type": "bandwidth",
      "capabilities": {"bandwidth": true}
    }
  ]
}

Now you can add the kubernetes.io/ingress-bandwidth and kubernetes.io/egress-bandwidth annotations to your Pod. For example:

apiVersion: v1
kind: Pod
metadata:
  annotations:
    kubernetes.io/ingress-bandwidth: 1M
    kubernetes.io/egress-bandwidth: 1M
...

What's next

• Learn more about Cluster Networking
• Learn more about Network Policies
• Learn about the Troubleshooting CNI plugin-related errors

2 - Device Plugins

Kubernetes provides a device plugin framework that you can use to advertise system hardware resources to the Kubelet.

Instead of customizing the code for Kubernetes itself, vendors can implement a device plugin that you deploy either manually or as a DaemonSet. The targeted devices include GPUs, high-performance NICs, FPGAs, InfiniBand adapters, and other similar computing resources that may require vendor specific initialization and setup.

Device plugin registration

The kubelet exports a Registration gRPC service:

service Registration {
	rpc Register(RegisterRequest) returns (Empty) {}
}

A device plugin can register itself with the kubelet through this gRPC service. During the registration, the device plugin needs to send:

• The name of its Unix socket.
• The Device Plugin API version against which it was built.
• The ResourceName it wants to advertise. Here ResourceName needs to follow the extended resource naming scheme as vendor-domain/resourcetype. (For example, an NVIDIA GPU is advertised as nvidia.com/gpu.)

Following a successful registration, the device plugin sends the kubelet the list of devices it manages, and the kubelet is then in charge of advertising those resources to the API server as part of the kubelet node status update. For example, after a device plugin registers hardware-vendor.example/foo with the kubelet and reports two healthy devices on a node, the node status is updated to advertise that the node has 2 "Foo" devices installed and available.

Then, users can request devices as part of a Pod specification (see container). Requesting extended resources is similar to how you manage requests and limits for other resources, with the following differences:

• Extended resources are only supported as integer resources and cannot be overcommitted.
• Devices cannot be shared between containers.

Example

Suppose a Kubernetes cluster is running a device plugin that advertises resource hardware-vendor.example/foo on certain nodes. Here is an example of a pod requesting this resource to run a demo workload:

---
apiVersion: v1
kind: Pod
metadata:
  name: demo-pod
spec:
  containers:
    - name: demo-container-1
      image: registry.k8s.io/pause:2.0
      resources:
        limits:
          hardware-vendor.example/foo: 2
#
# This Pod needs 2 of the hardware-vendor.example/foo devices
# and can only schedule onto a Node that's able to satisfy
# that need.
#
# If the Node has more than 2 of those devices available, the
# remainder would be available for other Pods to use.

Device plugin implementation

The general workflow of a device plugin includes the following steps:

1. Initialization. During this phase, the device plugin performs vendor-specific initialization and setup to make sure the devices are in a ready state.

2. The plugin starts a gRPC service, with a Unix socket under the host path /var/lib/kubelet/device-plugins/, that implements the following interfaces:

   service DevicePlugin {
         // GetDevicePluginOptions returns options to be communicated with Device Manager.
         rpc GetDevicePluginOptions(Empty) returns (DevicePluginOptions) {}
   
         // ListAndWatch returns a stream of List of Devices
         // Whenever a Device state change or a Device disappears, ListAndWatch
         // returns the new list
         rpc ListAndWatch(Empty) returns (stream ListAndWatchResponse) {}
   
         // Allocate is called during container creation so that the Device
         // Plugin can run device specific operations and instruct Kubelet
         // of the steps to make the Device available in the container
         rpc Allocate(AllocateRequest) returns (AllocateResponse) {}
   
         // GetPreferredAllocation returns a preferred set of devices to allocate
         // from a list of available ones. The resulting preferred allocation is not
         // guaranteed to be the allocation ultimately performed by the
         // devicemanager. It is only designed to help the devicemanager make a more
         // informed allocation decision when possible.
         rpc GetPreferredAllocation(PreferredAllocationRequest) returns (PreferredAllocationResponse) {}
   
         // PreStartContainer is called, if indicated by Device Plugin during registration phase,
         // before each container start. Device plugin can run device specific operations
         // such as resetting the device before making devices available to the container.
         rpc PreStartContainer(PreStartContainerRequest) returns (PreStartContainerResponse) {}
   }
   

   Note:

   Plugins are not required to provide useful implementations for GetPreferredAllocation() or PreStartContainer(). Flags indicating the availability of these calls, if any, should be set in the DevicePluginOptions message sent back by a call to GetDevicePluginOptions(). The kubelet will always call GetDevicePluginOptions() to see which optional functions are available, before calling any of them directly.

3. The plugin registers itself with the kubelet through the Unix socket at host path /var/lib/kubelet/device-plugins/kubelet.sock.

   Note:

   The ordering of the workflow is important. A plugin MUST start serving gRPC service before registering itself with kubelet for successful registration.

4. After successfully registering itself, the device plugin runs in serving mode, during which it keeps monitoring device health and reports back to the kubelet upon any device state changes. It is also responsible for serving Allocate gRPC requests. During Allocate, the device plugin may do device-specific preparation; for example, GPU cleanup or QRNG initialization. If the operations succeed, the device plugin returns an AllocateResponse that contains container runtime configurations for accessing the allocated devices. The kubelet passes this information to the container runtime.

   An AllocateResponse contains zero or more ContainerAllocateResponse objects. In these, the device plugin defines modifications that must be made to a container's definition to provide access to the device. These modifications include:

   • Annotations
   • device nodes
   • environment variables
   • mounts
   • fully-qualified CDI device names

   Note:

   The processing of the fully-qualified CDI device names by the Device Manager requires that the DevicePluginCDIDevices feature gate is enabled for both the kubelet and the kube-apiserver. This was added as an alpha feature in Kubernetes v1.28 and graduated to beta in v1.29.

Handling kubelet restarts

A device plugin is expected to detect kubelet restarts and re-register itself with the new kubelet instance. A new kubelet instance deletes all the existing Unix sockets under /var/lib/kubelet/device-plugins when it starts. A device plugin can monitor the deletion of its Unix socket and re-register itself upon such an event.

Device plugin deployment

You can deploy a device plugin as a DaemonSet, as a package for your node's operating system, or manually.

The canonical directory /var/lib/kubelet/device-plugins requires privileged access, so a device plugin must run in a privileged security context. If you're deploying a device plugin as a DaemonSet, /var/lib/kubelet/device-plugins must be mounted as a Volume in the plugin's PodSpec.

If you choose the DaemonSet approach you can rely on Kubernetes to: place the device plugin's Pod onto Nodes, to restart the daemon Pod after failure, and to help automate upgrades.

API compatibility

Previously, the versioning scheme required the Device Plugin's API version to match exactly the Kubelet's version. Since the graduation of this feature to Beta in v1.12 this is no longer a hard requirement. The API is versioned and has been stable since Beta graduation of this feature. Because of this, kubelet upgrades should be seamless but there still may be changes in the API before stabilization making upgrades not guaranteed to be non-breaking.

As a project, Kubernetes recommends that device plugin developers:

• Watch for Device Plugin API changes in the future releases.
• Support multiple versions of the device plugin API for backward/forward compatibility.

To run device plugins on nodes that need to be upgraded to a Kubernetes release with a newer device plugin API version, upgrade your device plugins to support both versions before upgrading these nodes. Taking that approach will ensure the continuous functioning of the device allocations during the upgrade.

Monitoring device plugin resources

In order to monitor resources provided by device plugins, monitoring agents need to be able to discover the set of devices that are in-use on the node and obtain metadata to describe which container the metric should be associated with. Prometheus metrics exposed by device monitoring agents should follow the Kubernetes Instrumentation Guidelines, identifying containers using pod, namespace, and container prometheus labels.

The kubelet provides a gRPC service to enable discovery of in-use devices, and to provide metadata for these devices:

// PodResourcesLister is a service provided by the kubelet that provides information about the
// node resources consumed by pods and containers on the node
service PodResourcesLister {
    rpc List(ListPodResourcesRequest) returns (ListPodResourcesResponse) {}
    rpc GetAllocatableResources(AllocatableResourcesRequest) returns (AllocatableResourcesResponse) {}
    rpc Get(GetPodResourcesRequest) returns (GetPodResourcesResponse) {}
}

List gRPC endpoint

The List endpoint provides information on resources of running pods, with details such as the id of exclusively allocated CPUs, device id as it was reported by device plugins and id of the NUMA node where these devices are allocated. Also, for NUMA-based machines, it contains the information about memory and hugepages reserved for a container.

Starting from Kubernetes v1.27, the List endpoint can provide information on resources of running pods allocated in ResourceClaims by the DynamicResourceAllocation API. To enable this feature kubelet must be started with the following flags:

--feature-gates=DynamicResourceAllocation=true,KubeletPodResourcesDynamicResources=true

// ListPodResourcesResponse is the response returned by List function
message ListPodResourcesResponse {
    repeated PodResources pod_resources = 1;
}

// PodResources contains information about the node resources assigned to a pod
message PodResources {
    string name = 1;
    string namespace = 2;
    repeated ContainerResources containers = 3;
}

// ContainerResources contains information about the resources assigned to a container
message ContainerResources {
    string name = 1;
    repeated ContainerDevices devices = 2;
    repeated int64 cpu_ids = 3;
    repeated ContainerMemory memory = 4;
    repeated DynamicResource dynamic_resources = 5;
}

// ContainerMemory contains information about memory and hugepages assigned to a container
message ContainerMemory {
    string memory_type = 1;
    uint64 size = 2;
    TopologyInfo topology = 3;
}

// Topology describes hardware topology of the resource
message TopologyInfo {
        repeated NUMANode nodes = 1;
}

// NUMA representation of NUMA node
message NUMANode {
        int64 ID = 1;
}

// ContainerDevices contains information about the devices assigned to a container
message ContainerDevices {
    string resource_name = 1;
    repeated string device_ids = 2;
    TopologyInfo topology = 3;
}

// DynamicResource contains information about the devices assigned to a container by Dynamic Resource Allocation
message DynamicResource {
    string class_name = 1;
    string claim_name = 2;
    string claim_namespace = 3;
    repeated ClaimResource claim_resources = 4;
}

// ClaimResource contains per-plugin resource information
message ClaimResource {
    repeated CDIDevice cdi_devices = 1 [(gogoproto.customname) = "CDIDevices"];
}

// CDIDevice specifies a CDI device information
message CDIDevice {
    // Fully qualified CDI device name
    // for example: vendor.com/gpu=gpudevice1
    // see more details in the CDI specification:
    // https://github.com/container-orchestrated-devices/container-device-interface/blob/main/SPEC.md
    string name = 1;
}

GetAllocatableResources gRPC endpoint

GetAllocatableResources provides information on resources initially available on the worker node. It provides more information than kubelet exports to APIServer.

// AllocatableResourcesResponses contains information about all the devices known by the kubelet
message AllocatableResourcesResponse {
    repeated ContainerDevices devices = 1;
    repeated int64 cpu_ids = 2;
    repeated ContainerMemory memory = 3;
}

ContainerDevices do expose the topology information declaring to which NUMA cells the device is affine. The NUMA cells are identified using a opaque integer ID, which value is consistent to what device plugins report when they register themselves to the kubelet.

The gRPC service is served over a unix socket at /var/lib/kubelet/pod-resources/kubelet.sock. Monitoring agents for device plugin resources can be deployed as a daemon, or as a DaemonSet. The canonical directory /var/lib/kubelet/pod-resources requires privileged access, so monitoring agents must run in a privileged security context. If a device monitoring agent is running as a DaemonSet, /var/lib/kubelet/pod-resources must be mounted as a Volume in the device monitoring agent's PodSpec.

Get gRPC endpoint

The Get endpoint provides information on resources of a running Pod. It exposes information similar to those described in the List endpoint. The Get endpoint requires PodName and PodNamespace of the running Pod.

// GetPodResourcesRequest contains information about the pod
message GetPodResourcesRequest {
    string pod_name = 1;
    string pod_namespace = 2;
}

To enable this feature, you must start your kubelet services with the following flag:

--feature-gates=KubeletPodResourcesGet=true

The Get endpoint can provide Pod information related to dynamic resources allocated by the dynamic resource allocation API. To enable this feature, you must ensure your kubelet services are started with the following flags:

--feature-gates=KubeletPodResourcesGet=true,DynamicResourceAllocation=true,KubeletPodResourcesDynamicResources=true

Device plugin integration with the Topology Manager

The Topology Manager is a Kubelet component that allows resources to be co-ordinated in a Topology aligned manner. In order to do this, the Device Plugin API was extended to include a TopologyInfo struct.

message TopologyInfo {
    repeated NUMANode nodes = 1;
}

message NUMANode {
    int64 ID = 1;
}

Device Plugins that wish to leverage the Topology Manager can send back a populated TopologyInfo struct as part of the device registration, along with the device IDs and the health of the device. The device manager will then use this information to consult with the Topology Manager and make resource assignment decisions.

TopologyInfo supports setting a nodes field to either nil or a list of NUMA nodes. This allows the Device Plugin to advertise a device that spans multiple NUMA nodes.

Setting TopologyInfo to nil or providing an empty list of NUMA nodes for a given device indicates that the Device Plugin does not have a NUMA affinity preference for that device.

An example TopologyInfo struct populated for a device by a Device Plugin:

pluginapi.Device{ID: "25102017", Health: pluginapi.Healthy, Topology:&pluginapi.TopologyInfo{Nodes: []*pluginapi.NUMANode{&pluginapi.NUMANode{ID: 0,},}}}

Device plugin examples

Here are some examples of device plugin implementations:

• Akri, which lets you easily expose heterogeneous leaf devices (such as IP cameras and USB devices).
• The AMD GPU device plugin
• The generic device plugin for generic Linux devices and USB devices
• The Intel device plugins for Intel GPU, FPGA, QAT, VPU, SGX, DSA, DLB and IAA devices
• The KubeVirt device plugins for hardware-assisted virtualization
• The NVIDIA GPU device plugin for Container-Optimized OS
• The RDMA device plugin
• The SocketCAN device plugin
• The Solarflare device plugin
• The SR-IOV Network device plugin
• The Xilinx FPGA device plugins for Xilinx FPGA devices

What's next

• Learn about scheduling GPU resources using device plugins
• Learn about advertising extended resources on a node
• Learn about the Topology Manager
• Read about using hardware acceleration for TLS ingress with Kubernetes