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Titlebook: Deploying Rails with Docker, Kubernetes and ECS; Pablo Acu?a Book 2016 Pablo Acu?a 2016 Docker.Kubernetes.ECS.Ruby.Rails.Open Source.DevOp

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發(fā)表于 2025-3-21 19:56:45 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Deploying Rails with Docker, Kubernetes and ECS
編輯Pablo Acu?a
視頻videohttp://file.papertrans.cn/266/265770/265770.mp4
概述First book on the market that teaches Rails on Docker, Kubernetes and ECS.Short, concise, and easy to follow, with a fully working Ruby on Rails app example.Written by a developer who has tested the m
圖書封面Titlebook: Deploying Rails with Docker, Kubernetes and ECS;  Pablo Acu?a Book 2016 Pablo Acu?a 2016 Docker.Kubernetes.ECS.Ruby.Rails.Open Source.DevOp
描述Learn how to use the power of Docker and Kubernetes to deploy your Rails applications easily and efficiently.?.Deploying Rails with Docker, Kubernetes and ECS?.shows you how to set up the project, push it to DockerHub, manage services and set up an efficient continuous integration environment. Every concept is clearly explained alongside a full Ruby on Rails application deployment. You’ll also learn how to deploy via Docker using Amazon EC2 Container Service..Docker and Kubernetes are increasing in popularity every day, but what if you want to leverage their benefits for your Rails application? This is the quick guide you need..What You Will Learn.Create a Rails API application using Rails 5 and PostgreSQL, and Dockerize it.Write and test templates to run the application with Kubernetes.Create a Kubernetes cluster in Amazon Web Services and run your.Inspect and troubleshoot problems in the cluster.Automatize the the whole deployment process with Jenkins.Who This Book Is For.This book is for anyone who wants to understand how to effectively deploy a Rails application using Docker and Kubernetes. You will need to understand Rails and have basic knowledge of what Docker and Kubernetes
出版日期Book 2016
關(guān)鍵詞Docker; Kubernetes; ECS; Ruby; Rails; Open Source; DevOps; Ruby on Rails
版次1
doihttps://doi.org/10.1007/978-1-4842-2415-1
isbn_softcover978-1-4842-2414-4
isbn_ebook978-1-4842-2415-1
copyrightPablo Acu?a 2016
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-22 00:18:06 | 只看該作者
板凳
發(fā)表于 2025-3-22 02:33:46 | 只看該作者
Amazon EC2 Container Service,ponents, such as VPC (Virtual Private Cloud), EC2, ELBs (Elastic Load Balancers), and Route53. The main issue with ECS is that it is coupled to AWS, and currently you can’t run an ECS cluster on other cloud providers, which makes sense since it’s an Amazon technology.
地板
發(fā)表于 2025-3-22 08:26:44 | 只看該作者
Jānis Kampars,Guntis Mosāns,Jānis Grabisponents, such as VPC (Virtual Private Cloud), EC2, ELBs (Elastic Load Balancers), and Route53. The main issue with ECS is that it is coupled to AWS, and currently you can’t run an ECS cluster on other cloud providers, which makes sense since it’s an Amazon technology.
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發(fā)表于 2025-3-22 12:05:15 | 只看該作者
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發(fā)表于 2025-3-22 16:48:14 | 只看該作者
Pablo Acu?aFirst book on the market that teaches Rails on Docker, Kubernetes and ECS.Short, concise, and easy to follow, with a fully working Ruby on Rails app example.Written by a developer who has tested the m
7#
發(fā)表于 2025-3-22 20:42:02 | 只看該作者
8#
發(fā)表于 2025-3-23 00:03:08 | 只看該作者
Algimantas Skuodis,Olga KurasovaIn this chapter I’ll show how you can automate the entire deployment process using Jenkins for both platforms, Kubernetes and ECS. Our final goal is to be able to update our application by pushing to some Git branch.
9#
發(fā)表于 2025-3-23 03:40:51 | 只看該作者
Continuous Integration,In this chapter I’ll show how you can automate the entire deployment process using Jenkins for both platforms, Kubernetes and ECS. Our final goal is to be able to update our application by pushing to some Git branch.
10#
發(fā)表于 2025-3-23 09:34:03 | 只看該作者
Development, we can test it easily. Also, the idea of using containers to deploy applications makes more sense when we have small applications. That’s because, in this kind of architecture, we’ll be pulling and pushing images to a Docker registry all the time, and it’s better to have lightweight images if we want to have faster deploys.
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