[業務で使える！]Kubernetes(Docker)、Ansibleを使った機械学習基盤の構築自動化(ベアメタル)メモ - QiitaDeleted articles cannot be recovered. Draft of this article would be also deleted. Are you sure you want to delete this article?
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シンプルなRails環境を最速プロビジョニング。各種ツールの利用比較 (Chef [Berkshelf], Ansible [Playbook], Docker [Docker Compose], 手動) - Qiita
シンプルなRails環境を最速プロビジョニング。各種ツールの利用比較 (Chef [Berkshelf], Ansible [Playbook], Docker [Docker Compose], 手動)RailsAWSchefDockerAnsible プロビジョニングのための構成管理フレームワークには様々なものがあり、例に挙げると以下のようなものがあります。 Chef Ansible Puppet SaltStack CFEngine PowerShell DSC Itamae AWS CloudFormation Terraform Mobingi ItamaeはCookpadの社員の方が開発した、機能がシンプルで学習コストが低く、Chefを簡略化したようなものです。AWS CloudFormationはAWS上のサーバなどの構成をJSONまたはYAMLで記述して管理するものです。T
![シンプルなRails環境を最速プロビジョニング。各種ツールの利用比較 (Chef [Berkshelf], Ansible [Playbook], Docker [Docker Compose], 手動) - Qiita](https://cdn-ak-scissors.b.st-hatena.com/image/square/7c5d7c83e1cf9b18ab9fd9cd3e74564015eb3a15/height=288;version=1;width=512/https%3A%2F%2Fqiita-user-contents.imgix.net%2Fhttps%253A%252F%252Fqiita-user-contents.imgix.net%252Fhttps%25253A%25252F%25252Fcdn.qiita.com%25252Fassets%25252Fpublic%25252Farticle-ogp-background-afbab5eb44e0b055cce1258705637a91.png%253Fixlib%253Drb-4.0.0%2526w%253D1200%2526blend64%253DaHR0cHM6Ly9xaWl0YS11c2VyLXByb2ZpbGUtaW1hZ2VzLmltZ2l4Lm5ldC9odHRwcyUzQSUyRiUyRnFpaXRhLWltYWdlLXN0b3JlLnMzLmFtYXpvbmF3cy5jb20lMkYwJTJGODEwODMlMkZwcm9maWxlLWltYWdlcyUyRjE1MTczMTU4NDI_aXhsaWI9cmItNC4wLjAmYXI9MSUzQTEmZml0PWNyb3AmbWFzaz1lbGxpcHNlJmZtPXBuZzMyJnM9YWYzYWFhN2Q5ZjVmYzliZDg3ZDUwMzg1MmY5NTQ2MTc%2526blend-x%253D120%2526blend-y%253D467%2526blend-w%253D82%2526blend-h%253D82%2526blend-mode%253Dnormal%2526s%253Da99358e5073f2bd679f3ee9a1d630793%3Fixlib%3Drb-4.0.0%26w%3D1200%26fm%3Djpg%26mark64%3DaHR0cHM6Ly9xaWl0YS11c2VyLWNvbnRlbnRzLmltZ2l4Lm5ldC9-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%26mark-x%3D120%26mark-y%3D112%26blend64%3DaHR0cHM6Ly9xaWl0YS11c2VyLWNvbnRlbnRzLmltZ2l4Lm5ldC9-dGV4dD9peGxpYj1yYi00LjAuMCZ3PTgzOCZoPTU4JnR4dD0lNDBoYXlhc2hpZXImdHh0LWNvbG9yPSUyMzFFMjEyMSZ0eHQtZm9udD1IaXJhZ2lubyUyMFNhbnMlMjBXNiZ0eHQtc2l6ZT0zNiZ0eHQtcGFkPTAmcz0wOGYwMTAzMjZhMDdhYmFiZGMxODUzYzRiZmRjNDFmOQ%26blend-x%3D242%26blend-y%3D480%26blend-w%3D838%26blend-h%3D46%26blend-fit%3Dcrop%26blend-crop%3Dleft%252Cbottom%26blend-mode%3Dnormal%26s%3D3880c04dc4ddfdadd434327503da50e6)
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