Production-Grade Container Orchestration

FastAPI framework, high performance, easy to learn, fast to code, ready for production

Indexing ndarrays can be indexed using the standard Python x[obj] syntax, where x is the array and obj the selection....

oneDNN Quantization Introduction After successful model building and achieving desired accuracy on the test data, oft...

FastAPI framework, high performance, easy to learn, fast to code, ready for production

mxnet.np.full full ( shape , fill_value , dtype=None , order='C' , device=None , out=None ) Return a new array of giv...

Resource Types CredentialProviderRequest CredentialProviderResponse CredentialProviderRequest CredentialProviderRequest includes the image that the kubelet requires authentication for. Kubelet will pass this request object to the plugin via stdin. In general, plugins should prefer responding with the same apiVersion they were sent. FieldDescription apiVersionstringcredentialprovider.kubelet.k8s.io/v1 kindstringCredentialProviderRequest image [Required] string image is the container image that is being pulled as part of the credential provider plugin request. Plugins may optionally parse the image to extract any information required to fetch credentials.

FastAPI framework, high performance, easy to learn, fast to code, ready for production

This page shows how to assign a memory request and a memory limit to a Container. A Container is guaranteed to have as much memory as it requests, but is not allowed to use more memory than its limit. Before you begin You need to have a Kubernetes cluster, and the kubectl command-line tool must be configured to communicate with your cluster. It is recommended to run this tutorial on a cluster with at least two nodes that are not acting as control plane hosts.

This page shows how to configure quotas for API objects, including PersistentVolumeClaims and Services. A quota restricts the number of objects, of a particular type, that can be created in a namespace. You specify quotas in a ResourceQuota object. Before you begin You need to have a Kubernetes cluster, and the kubectl command-line tool must be configured to communicate with your cluster. It is recommended to run this tutorial on a cluster with at least two nodes that are not acting as control plane hosts.