Continuous Deployments using Spinnaker on AWS and Kubernetes

所在平台: Udemy

课程主页: https://www.udemy.com/course/continuous-deployments-using-spinnaker-on-aws-and-kubernetes/

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课程简介

课程名称:使用 Spinnaker 在 AWS 和 Kubernetes 上进行持续部署 课程概述: 本课程旨在帮助学员像大型科技公司一样部署软件。Spinnaker 是一个多云持续交付平台,能够让您高效、可靠地频繁发布软件。Spinnaker 由 Netflix 开源并得到了许多大中型科技公司的广泛应用,谷歌也是其主要贡献者之一。如果您希望学习如何将软件部署到 AWS 或 Kubernetes,本课程将非常适合您。 在本课程中,您将逐步学习如何: - 本地设置 Spinnaker,或在云端的虚拟机上进行设置 - 使用 Spinnaker 的部署管道在 AWS 上部署您的软件 - 将 Spinnaker 与 Jenkins 集成 - 使用 Spinnaker 部署软件到 Kubernetes(使用 Kubernetes v2 提供者) 您可以按照课程中的示例在 DigitalOcean 上部署 Spinnaker,同时也可在其他云提供商或本地虚拟机上进行部署(课程提供了 vagrantfile 来帮助您)。Spinnaker 当前的系统要求为 18 GB 内存、4 核 CPU,支持 Ubuntu 14.04、16.04 或 18.04(截至撰写本文时,Ubuntu 20.04 不再支持)。课程中包含了在 Ubuntu droplet(DigitalOcean)上安装 Spinnaker 的演示,但您也可以在任何其他兼容的 Ubuntu 虚拟机上进行安装。

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课程详情

Deploy your software just like the big tech companies. Spinnaker is a multi-cloud Continuous Delivery platform that enables you to release your software often, with high confidence.Spinnaker is open sourced by Netflix and is now used by small and big tech companies to release their software on the cloud. Google is also a major contributor to Spinnaker.If you are looking how to deploy your software to AWS, or Kubernetes, then this course is for you. In this course we explain step-by-step how to:Setup Spinnaker locally, or using any virtual machine in the cloudDeploy your software on AWS using deployments pipelines in SpinnakerIntegrate Spinnaker with JenkinsDeploy software using Spinnaker on Kubernetes (using the kubernetes v2 provider)You can deploy Spinnaker on DigitalOcean as shown in the course. You can also deploy spinnaker on any other Cloud Provider or with a local VM (a vagrantfile is also provided to help you with this). The current requirements of spinnaker are 18 GB RAM, A 4 core CPU, Ubuntu 14.04, 16.04 or 18.04 (Ubuntu 20.04 is not yet supported at the time of writing). The course has demos showing you the installation process of Spinnaker on a Ubuntu droplet (DigitalOcean), but any other ubuntu-compatible VM can be used to do the installation.

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