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kubesprayを使ったオンプレミス/クラウドプロバイダへのKubernetesのインストール

This quickstart helps to install a Kubernetes cluster hosted on GCE, Azure, OpenStack, AWS, vSphere, Oracle Cloud Infrastructure (Experimental) or Baremetal with Kubespray.

Kubespray is a composition of Ansible playbooks, inventory, provisioning tools, and domain knowledge for generic OS/Kubernetes clusters configuration management tasks. Kubespray provides:

• a highly available cluster
• composable attributes
• support for most popular Linux distributions
  • Container Linux by CoreOS
  • Debian Jessie, Stretch, Wheezy
  • Ubuntu 16.04, 18.04
  • CentOS/RHEL 7
  • Fedora/CentOS Atomic
  • openSUSE Leap 42.3/Tumbleweed
• continuous integration tests

To choose a tool which best fits your use case, read this comparison to kubeadm and kops.

• クラスタの作成
• クラスタの操作
• クリーンアップ
• フィードバック
• 次の項目

クラスタの作成

(1/5) 下地の要件の確認

Provision servers with the following requirements:

• Ansible v2.5 (or newer) and python-netaddr is installed on the machine that will run Ansible commands
• Jinja 2.9 (or newer) is required to run the Ansible Playbooks
• The target servers must have access to the Internet in order to pull docker images
• The target servers are configured to allow IPv4 forwarding
• Your ssh key must be copied to all the servers part of your inventory
• The firewalls are not managed, you’ll need to implement your own rules the way you used to. in order to avoid any issue during deployment you should disable your firewall
• If kubespray is ran from non-root user account, correct privilege escalation method should be configured in the target servers. Then the ansible_become flag or command parameters --become or -b should be specified

Kubespray provides the following utilities to help provision your environment:

• Terraform scripts for the following cloud providers:
  • AWS
  • OpenStack

(2/5) インベントリファイルの用意

After you provision your servers, create an inventory file for Ansible. You can do this manually or via a dynamic inventory script. For more information, see “Building your own inventory”.

(3/5) クラスタ作成の計画

Kubespray provides the ability to customize many aspects of the deployment:

• Choice deployment mode: kubeadm or non-kubeadm
• CNI (networking) plugins
• DNS configuration
• Choice of control plane: native/binary or containerized with docker or rkt
• Component versions
• Calico route reflectors
• Component runtime options
  • docker
  • rkt
  • cri-o
• Certificate generation methods (Vault being discontinued)

Kubespray customizations can be made to a variable file. If you are just getting started with Kubespray, consider using the Kubespray defaults to deploy your cluster and explore Kubernetes.

(4/5) クラスタのデプロイ

Next, deploy your cluster:

Cluster deployment using ansible-playbook.

ansible-playbook -i your/inventory/hosts.ini cluster.yml -b -v \
  --private-key=~/.ssh/private_key

Large deployments (100+ nodes) may require specific adjustments for best results.

(5/5) デプロイの確認

Kubespray provides a way to verify inter-pod connectivity and DNS resolve with Netchecker. Netchecker ensures the netchecker-agents pods can resolve DNS requests and ping each over within the default namespace. Those pods mimic similar behavior of the rest of the workloads and serve as cluster health indicators.

クラスタの操作

Kubespray provides additional playbooks to manage your cluster: scale and upgrade.

クラスタのスケール

You can add worker nodes from your cluster by running the scale playbook. For more information, see “Adding nodes”. You can remove worker nodes from your cluster by running the remove-node playbook. For more information, see “Remove nodes”.

クラスタのアップグレード

You can upgrade your cluster by running the upgrade-cluster playbook. For more information, see “Upgrades”.

クリーンアップ

You can reset your nodes and wipe out all components installed with Kubespray via the reset playbook.

注意: When running the reset playbook, be sure not to accidentally target your production cluster!

フィードバック

• Slack Channel: #kubespray
• GitHub Issues

次の項目

Check out planned work on Kubespray’s roadmap.

フィードバック

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Thanks for the feedback. If you have a specific, answerable question about how to use Kubernetes, ask it on Stack Overflow. Open an issue in the GitHub repo if you want to report a problem or suggest an improvement.