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

A Deployment manages a set of Pods to run an application workload, usually one that doesn't maintain state.

gluon.rnn Build-in recurrent neural network layers are provided in the following two modules: mxnet.gluon.rnn Recurre...

gluon.loss Gluon provides pre-defined loss functions in the mxnet.gluon.loss module. losses for training neural netwo...

ndarray.sparse Sparse NDArray API of MXNet. Functions csr_matrix (arg1[, shape, ctx, dtype]) Creates a CSRNDArray , a...

Overview Package v1beta4 defines the v1beta4 version of the kubeadm configuration file format. This version improves on the v1beta3 format by fixing some minor issues and adding a few new fields. A list of changes since v1beta3: v1.33: Add an EtcdUpgrade field to UpgradeConfiguration.plan that can be used to control whether the etcd upgrade plan should be displayed. v1.31: Support custom environment variables in control plane components under ClusterConfiguration. Use apiServer.

Every node in a Kubernetes cluster runs a kube-proxy (unless you have deployed your own alternative component in place of kube-proxy). The kube-proxy component is responsible for implementing a virtual IP mechanism for Services of type other than ExternalName. Each instance of kube-proxy watches the Kubernetes control plane for the addition and removal of Service and EndpointSlice objects. For each Service, kube-proxy calls appropriate APIs (depending on the kube-proxy mode) to configure the node to capture traffic to the Service's clusterIP and port, and redirect that traffic to one of the Service's endpoints (usually a Pod, but possibly an arbitrary user-provided IP address).

Skip to main content Back to top Ctrl + K GitHub Twitter Mastodon What’s new in 2.0.0 (April 3, 2023) # These are the...

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

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