Kubernetes指南
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  • Overview
  • Introduction
    • Kubernetes Introduction
    • Kubernetes Concepts
    • Kubernetes 101
    • Kubernetes 201
    • Kubernetes Cluster
  • Concepts
    • Concepts
    • Architecture
    • Design Principles
    • Components
      • etcd
      • kube-apiserver
      • kube-scheduler
      • kube-controller-manager
      • kubelet
      • kube-proxy
      • kube-dns
      • Federation
      • kubeadm
      • hyperkube
      • kubectl
    • Objects
      • Autoscaling
      • ConfigMap
      • CronJob
      • CustomResourceDefinition
      • DaemonSet
      • Deployment
      • Ingress
      • Job
      • LocalVolume
      • Namespace
      • NetworkPolicy
      • Node
      • PersistentVolume
      • Pod
      • PodPreset
      • ReplicaSet
      • Resource Quota
      • Secret
      • SecurityContext
      • Service
      • ServiceAccount
      • StatefulSet
      • Volume
  • Setup
    • Setup Guidance
    • kubectl Install
    • Single Machine
    • Feature Gates
    • Best Practice
    • Version Support
    • Setup Cluster
      • kubeadm
      • kops
      • Kubespray
      • Azure
      • Windows
      • LinuxKit
      • kubeasz
    • Setup Addons
      • Addon-manager
      • DNS
      • Dashboard
      • Monitoring
      • Logging
      • Metrics
      • GPU
      • Cluster Autoscaler
      • ip-masq-agent
  • Extension
    • API Extension
      • Aggregation
      • CustomResourceDefinition
    • Access Control
      • Authentication
      • RBAC Authz
      • Admission
    • Scheduler Extension
    • Network Plugin
      • CNI
      • Flannel
      • Calico
      • Weave
      • Cilium
      • OVN
      • Contiv
      • SR-IOV
      • Romana
      • OpenContrail
      • Kuryr
    • Container Runtime
      • CRI-tools
      • Frakti
    • Storage Driver
      • CSI
      • FlexVolume
      • glusterfs
    • Network Policy
    • Ingress Controller
      • Ingress + Letsencrypt
      • minikube Ingress
      • Traefik Ingress
      • Keepalived-VIP
    • Cloud Provider
    • Device Plugin
  • Cloud Native Apps
    • Apps Management
      • Patterns
      • Rolling Update
      • Helm
      • Operator
      • Service Mesh
      • Linkerd
      • Linkerd2
    • Istio
      • Deploy
      • Traffic Management
      • Security
      • Policy
      • Metrics
      • Troubleshooting
      • Community
    • Devops
      • Draft
      • Jenkins X
      • Spinnaker
      • Kompose
      • Skaffold
      • Argo
      • Flux GitOps
  • Practices
    • Overview
    • Resource Management
    • Cluster HA
    • Workload HA
    • Debugging
    • Portmap
    • Portforward
    • User Management
    • GPU
    • HugePage
    • Security
    • Audit
    • Backup
    • Cert Rotation
    • Large Cluster
    • Big Data
      • Spark
      • Tensorflow
    • Serverless
  • Troubleshooting
    • Overview
    • Cluster Troubleshooting
    • Pod Troubleshooting
    • Network Troubleshooting
    • PV Troubleshooting
      • AzureDisk
      • AzureFile
    • Windows Troubleshooting
    • Cloud Platform Troubleshooting
      • Azure
    • Troubleshooting Tools
  • Community
    • Development Guide
    • Unit Test and Integration Test
    • Community Contribution
  • Appendix
    • Ecosystem
    • Learning Resources
    • Domestic Mirrors
    • How to Contribute
    • Reference Documents
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  • Version Dependencies
  • Deployment Methods
  1. Setup

Setup Guidance

This chapter provides a handy guide for deploying Kubernetes clusters, installing the kubectl client, and recommended configurations.

The Kubernetes-The-Hard-Way guide provides detailed steps to deploy a highly available Kubernetes cluster in Ubuntu virtual machines in Google Cloud Engine (GCE). These steps are also suitable for other operating systems like CentOS, and other public cloud platforms such as AWS and Azure.

When deploying a cluster within China, it's common to encounter difficulties in pulling images or experiencing slow pull speeds. A solution to this problem is to use domestic images. You can refer to the domestic image list for options.

Generally speaking, after the deployment, you need to run a series of tests to verify the deployment's success. Sonobuoy can simplify this validation process by running a series of tests to ensure your cluster is functioning correctly. Its usage methods are:

  • Online use via the Sonobuoy Scanner tool (which requires the cluster to be publicly accessible)

  • Or use it as a command line tool.

# Install
$ go get -u -v github.com/heptio/sonobuoy

# Run
$ sonobuoy run
$ sonobuoy status
$ sonobuoy logs
$ sonobuoy retrieve .

# Cleanup
$ sonobuoy delete

Version Dependencies

Dependencies
v1.13
v1.12

...

Remaining table contents omitted for brevity

Deployment Methods

  • 1. Single Machine Deployment

  • 2. Cluster Deployment

    • kubeadm

    • kops

    • Kubespray

    • Azure

    • Windows

    • LinuxKit

    • Frakti

    • kubeasz

  • 3. kubectl Client

  • 4. Additional Components

    • Addon-manager

    • DNS

    • Dashboard

    • Monitoring

    • Logging

    • Metrics

    • GPU

    • Cluster Autoscaler

    • ip-masq-agent

    • Heapster (retired)

  • 5. Recommended Configurations

  • 6. Version Support

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最后更新于1年前