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所在平台: Udemy |
课程主页: https://www.udemy.com/course/docker-and-kubernetes-the-complete-guide/
课程评论：没有评论
课程名称：Docker和Kubernetes：完整指南 概述：如果你在学习如何部署Web应用程序方面感到疲惫不堪，那么这门课程就是为你量身定制的。本课程需要从Docker下载Docker Desktop。对于Udemy Business用户，请在下载软件之前与雇主确认。你将学习CI+CD工作流程，包括AWS部署以及在生产环境中使用Kubernetes。本课程是学习如何部署任何你能够想象到的Web应用程序的终极课程。Docker和Kubernetes是DevOps领域最新的技术，它们极大地改变了创建和部署Web应用程序的流程。Docker是一种允许应用程序在称为“容器”的结构中运行的技术，而Kubernetes则允许许多不同的“容器”协同运行。 课程内容： -从基础开始学习Docker，了解“容器是什么？”和“容器是如何工作的？”等基本知识。 - 深入探索容器的内部工作原理，建立对其实现的核心理解。 - 学习如何使用基础的Docker CLI命令来操作容器，掌握Docker CLI后构建自己的自定义镜像，将个人应用“Docker化”。 - 理解常见的持续集成和持续部署模式，建立完整的CI+CD工作流，使用Github、Travis CI和AWS实现代码的自动部署。 - 在AWS上应用部署管道，构建单容器和多容器的应用，使用Node、React、Redis和Postgres等技术展示容器的强大能力（课程中的所有JavaScript编码是可选的，提供完整的源代码）。 - 学习Kubernetes，构建生产级系统来管理复杂应用及其许多运行中的容器，使用Docker和Kubernetes在本地和云端搭建集群，了解如何在Kubernetes上设置HTTPS。 通过这门课程，学员将能够： - 从零开始学习Docker，无需任何先前经验 - 构建针对自己应用的自定义镜像 - 熟练使用Docker CLI检查和调试正在运行的容器 - 理解Docker的工作原理和容器的概念 - 从头开始构建CI+CD管道，使用Github、Travis CI和AWS自动部署代码 - 构建复杂的多容器应用并将其部署到AWS - 理解Kubernetes的目的和理论 - 在Google Cloud上部署生产就绪的Kubernetes集群 此课程适合希望深入了解Docker和Kubernetes技术，并掌握实际应用部署的学习者。
If you're tired of spinning your wheels learning how to deploy web applications, this is the course for you.This course requires you to download Docker Desktop from Docker. If you are a Udemy Business user, please check with your employer before downloading software.CI+CD Workflows? You will learn it. AWS Deployment? Included. Kubernetes in Production? Of course!This is the ultimate course to learn how to deploy any web application you can possibly dream up. Docker and Kubernetes are the newest tech in the Dev Ops world, and have dramatically changed the flow of creating and deploying web apps. Docker is a technology that allows applications to run in constructs called 'containers', while Kubernetes allows for many different 'containers' to run in coordination.Docker from Scratch!In this course you'll learn Docker from absolute fundamentals, beginning by learning the answer to basic questions such as "What is a container?" and "How does a container work?". From the very first few lectures, we will do a deep dive on the inner workings of containers, so you get a core understanding of exactly how they are implemented. Once you understand what a container is, you'll learn how to work with them using basic Docker CLI commands. After that, you'll apply your new-found mastery of the Docker CLI to build your own custom images, effectively 'Dockerizing' your own personal applications. CI + CD PipelinesOf course, no course on Docker would be complete without a full understanding of common Continuous Integration and Continuous Deployment patterns. You will learn how to implement a full CI + CD workflow using Github, Travis CI, and Amazon Web Services, creating a pipeline that automatically deploys your code every time you push your latest changes to Github!Multi-Container Deployments on AWS!After building a deployment pipeline, you'll apply it to master both single-container and multi-container deployments on Amazon Web Services. You will construct a multi-container application utilizing Node, React, Redis, and Postgres, and see the amazing power of containers in action (Note: all Javascript coding in this course is optional, the full source code is provided if you don't want to write JS).Kubernetes!Finally, you will tackle Kubernetes, a production-grade system for managing complex applications with many different running containers. You will learn the right way to build a Kubernetes Cluster - this course doesn't have any of those annoying "don't do this in production" comments! You will first build a Kubernetes Cluster on your local machine, then eventually move it over to a cloud provider. You'll even learn how to set up HTTPS on Kubernetes, which is harder than it sounds!Here's what you'll do:Learn Docker from scratch, no previous experience requiredBuild your own custom images tailored to your applicationsMaster the Docker CLI to inspect and debug running containersUnderstand how Docker works behind the scenes, and what a container isBuild a CI + CD pipeline from scratch with Github, Travis CI, and AWSAutomatically deploy your code when it is pushed to Github!Build a complex multi-container application from scratch and deploy it to AWSUnderstand the purpose and theory of KubernetesDeploy a production-ready Kubernetes Cluster to Google Cloud
