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

This page explains two different approaches to setting up a highly available Kubernetes cluster using kubeadm: With stacked control plane nodes. This approach requires less infrastructure. The etcd members and control plane nodes are co-located. With an external etcd cluster. This approach requires more infrastructure. The control plane nodes and etcd members are separated. Before proceeding, you should carefully consider which approach best meets the needs of your applications and environment.

This page covers how to customize the components that kubeadm deploys. For control plane components you can use flags in the ClusterConfiguration structure or patches per-node. For the kubelet and kube-proxy you can use KubeletConfiguration and KubeProxyConfiguration, accordingly. All of these options are possible via the kubeadm configuration API. For more details on each field in the configuration you can navigate to our API reference pages. Note:To reconfigure a cluster that has already been created see Reconfiguring a kubeadm cluster.

Production-Grade Container Orchestration

Compute feature importance in a model Source: R/lgb.importance.R lgb.importance.Rd Creates a data.table of feature im...

English ▾ English Français 日本語 Português (Brasil) українська мова 简体中文 Topics ▾ Setup and Config git config help bugr...

Python API lightgbm.LGBMClassifier lightgbm.LGBMClassifier  class lightgbm. LGBMClassifier ( * , boosting_type = 'gb...

Python API lightgbm.plot_metric lightgbm.plot_metric  lightgbm. plot_metric ( booster , metric = None , dataset_name...

GPU Tuning Guide and Performance Comparison GPU Tuning Guide and Performance Comparison  How It Works?  In LightGBM...

This document describes ephemeral volumes in Kubernetes. Familiarity with volumes is suggested, in particular PersistentVolumeClaim and PersistentVolume. Some applications need additional storage but don't care whether that data is stored persistently across restarts. For example, caching services are often limited by memory size and can move infrequently used data into storage that is slower than memory with little impact on overall performance. Other applications expect some read-only input data to be present in files, like configuration data or secret keys.