Custom Kube 2 Driver Download

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An existing AWS Identity and Access Management (IAM) OpenID Connect (OIDC) provider foryour cluster. To determine whether you already have one, or to create one, see Create an IAM OIDC provider for your cluster.

The specific steps in this procedure are written for using the driver as an Amazon EKS add-on. Different steps are needed to use the driver as a self-managed add-on. For more information, see Set up driver permissions on GitHub.

Create an IAM role and attach a policy. AWS maintains an AWS managed policy or you can create your own custom policy. You can create an IAM role and attach the AWS managed policy with the following command. Replace my-cluster with the name of your cluster. The command deploys an AWS CloudFormation stack that creates an IAM role and attaches the IAM policy to it. If your cluster is in theAWS GovCloud (US-East) or AWS GovCloud (US-West) AWS Regions, then replace arn:aws:with arn:aws-us-gov:.

Add a comma to the end of the previous line, and then add the following line after the previous line. Replaceregion-code with the AWS Region that your cluster is in. Replace EXAMPLED539D4633E53DE1B71EXAMPLE with your cluster's OIDC provider ID.

Attach a policy. AWS maintains an AWS managed policy or you can create your own custom policy. Attach the AWS managed policy to the role with the following command. If your cluster is in theAWS GovCloud (US-East) or AWS GovCloud (US-West) AWS Regions, then replace arn:aws:with arn:aws-us-gov:.

Now that you have created the Amazon EBS CSI driver IAM role, you can continue to Get the Amazon EBS CSI driver add-on. When you deploy the plugin in that procedure, it creates and is configured to use a service account that's named ebs-csi-controller-sa. The service account is bound to a Kubernetes clusterrole that's assigned the required Kubernetes permissions.

All worker nodes or node groups to run GPU workloads in the Kubernetes cluster must run the same operating system version to use the NVIDIA GPU Driver container.Alternatively, if you pre-install the NVIDIA GPU Driver on the nodes, then you can run different operating systems.

For worker nodes or node groups that run CPU workloads only, the nodes can run any operating system becausethe GPU Operator does not perform any configuration or management of nodes for CPU-only workloads.

Node Feature Discovery (NFD) is a dependency for the Operator on each node.By default, NFD master and worker are automatically deployed by the Operator.If NFD is already running in the cluster, then you must disable deploying NFD when you install the Operator.

When set to true, the Operator installs two additional runtime classes,nvidia-cdi and nvidia-legacy, and enables the use of the Container Device Interface (CDI)for making GPUs accessible to containers.Using CDI aligns the Operator with the recent efforts to standardize how complex devices like GPUsare exposed to containerized environments.

By default, the driver container has an initial delay of 60s before starting liveness probes.The probe runs the nvidia-smi command with a timeout duration of 60s.You can increase the timeoutSeconds duration if the nvidia-smi commandruns slowly in your cluster.

When set to true, the Operator attempts to deploy driver containers that haveprecompiled kernel drivers.This option is available as a technology preview feature for select operating systems.Refer to the precompiled driver containers page for the supported operating systems.

Installs node feature rules that are related to confidential computing.NFD uses the rules to detect security features in CPUs and NVIDIA GPUs.Set this variable to true when you configure the Operator for Confidential Containers.

By default, the Operator deploys the NVIDIA Container Toolkit (nvidia-docker2 stack)as a container on the system. Set this value to false when using the Operator on systemswith pre-installed NVIDIA runtimes.

Both the Operator and operands are installed in the same namespace.The namespace is configurable and is specified during installation.For example, to install the GPU Operator in the nvidia-gpu-operator namespace:

By default, the GPU Operator operands are deployed on all GPU worker nodes in the cluster.GPU worker nodes are identified by the presence of the label feature.node.kubernetes.io/pci-10de.present=true.The value 0x10de is the PCI vendor ID that is assigned to NVIDIA.

Rebuild the driver container by specifying the $DRIVER_VERSION argument when building the Docker image. Forreference, the driver container Dockerfiles are available on the Git repository at -images/driver.

The path on the host to the containerd configyou would like to have updated with support for the nvidia-container-runtime.By default this will point to /etc/containerd/config.toml (the defaultlocation for containerd). It should be customized if your containerdinstallation is not in the default location.

The path on the host to the socket file used tocommunicate with containerd. The operator will use this to send aSIGHUP signal to the containerd daemon to reload its config. Bydefault this will point to /run/containerd/containerd.sock(the default location for containerd). It should be customized ifyour containerd installation is not in the default location.

The name of theRuntime Classyou would like to associate with the nvidia-container-runtime.Pods launched with a runtimeClassName equal to CONTAINERD_RUNTIME_CLASSwill always run with the nvidia-container-runtime. The defaultCONTAINERD_RUNTIME_CLASS is nvidia.

A flag indicating whether you want to setnvidia-container-runtime as the default runtime used to launch allcontainers. When set to false, only containers in pods with a runtimeClassNameequal to CONTAINERD_RUNTIME_CLASS will be run with the nvidia-container-runtime.The default value is true.

Similar to Kubernetes secrets, on pod start and restart, the Secrets Store CSI driver communicates with the provider using gRPC to retrieve the secret content from the external Secrets Store specified in the SecretProviderClass custom resource. Then the volume is mounted in the pod as tmpfs and the secret contents are written to the volume.

The CSI driver communicates with the provider using gRPC to fetch the mount contents from external Secrets Store. Refer to doc for more details on the how to implement a provider for the driver and criteria for supported providers.

The provider plugins are also required to run as root (though privileged should not be necessary). This is becausethe provider plugin must create a unix domain socket in a hostPath for the driver to connect to.

Further, service account tokens for pods that require secrets may be forwarded from the kubelet process to the driverand then to provider plugins. This allows the provider to impersonate the pod when contacting the external secret API.

Encrypting mounted content can be the solution to further protect the secrets. However, this introduces additional operational overhead, such as managing encryption keys and addressing key rotation. Key management becomes a crucial aspect similar to secrets management.

When we look from the perspective of an application and what access does it have, for instance, the Ingress Controller application which requires cluster-wide access to Kubernetes Secrets. If a component like Ingress is compromised, it could jeopardize all secrets in the cluster. This is where the Secrets Store CSI driver proves valuable, as it can mount/sync only the necessary TLS certificates on the Ingress Pod, reducing the blast radius.

The SecretProviderClassPodStatus is a namespaced resource in Secrets Store CSI Driver that is created by the CSI driver to track the binding between a pod and SecretProviderClass. The SecretProviderClassPodStatus contains details about the current object versions that have been loaded in the pod mount.

The Azure Files Container Storage Interface (CSI) driver is a CSI specification-compliant driver used by Azure Kubernetes Service (AKS) to manage the lifecycle of Azure file shares. The CSI is a standard for exposing arbitrary block and file storage systems to containerized workloads on Kubernetes.

By adopting and using CSI, AKS now can write, deploy, and iterate plug-ins to expose new or improve existing storage systems in Kubernetes. Using CSI drivers in AKS avoids having to touch the core Kubernetes code and wait for its release cycles.

A persistent volume (PV) represents a piece of storage that's provisioned for use with Kubernetes pods. A PV can be used by one or many pods and can be dynamically or statically provisioned. If multiple pods need concurrent access to the same storage volume, you can use Azure Files to connect by using the Server Message Block (SMB) or NFS protocol. This article shows you how to dynamically create an Azure Files share for use by multiple pods in an AKS cluster. For static provisioning, see Manually create and use a volume with an Azure Files share.

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