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

Kubernetes ships with a default scheduler that is described here. If the default scheduler does not suit your needs you can implement your own scheduler. Moreover, you can even run multiple schedulers simultaneously alongside the default scheduler and instruct Kubernetes what scheduler to use for each of your pods. Let's learn how to run multiple schedulers in Kubernetes with an example. A detailed description of how to implement a scheduler is outside the scope of this document.

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

FEATURE STATE: Kubernetes v1.10 [stable] kubeadm init and kubeadm join together provide a nice user experience for creating a bare Kubernetes cluster from scratch, that aligns with the best-practices. However, it might not be obvious how kubeadm does that. This document provides additional details on what happens under the hood, with the aim of sharing knowledge on the best practices for a Kubernetes cluster. Core design principles The cluster that kubeadm init and kubeadm join set up should be:

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

Module code lightgbm.basic Source code for lightgbm.basic # coding: utf-8 """Wrapper for C API of LightGBM.""" # This...

Production-Grade Container Orchestration

The Kubernetes API is a resource-based (RESTful) programmatic interface provided via HTTP. It supports retrieving, creating, updating, and deleting primary resources via the standard HTTP verbs (POST, PUT, PATCH, DELETE, GET). For some resources, the API includes additional subresources that allow fine-grained authorization (such as separate views for Pod details and log retrievals), and can accept and serve those resources in different representations for convenience or efficiency. Kubernetes supports efficient change notifications on resources via watches: in the Kubernetes API, watch is a verb that is used to track changes to an object in Kubernetes as a stream.

This tutorial demonstrates running Apache Zookeeper on Kubernetes using StatefulSets, PodDisruptionBudgets, and PodAntiAffinity. Before you begin Before starting this tutorial, you should be familiar with the following Kubernetes concepts: Pods Cluster DNS Headless Services PersistentVolumes PersistentVolume Provisioning StatefulSets PodDisruptionBudgets PodAntiAffinity kubectl CLI You must have a cluster with at least four nodes, and each node requires at least 2 CPUs and 4 GiB of memory. In this tutorial you will cordon and drain the cluster's nodes.

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