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所在平台: Udemy |
课程主页: https://www.udemy.com/course/devops-projects-using-kubernetes-a-hands-on-guide/
课程评论：没有评论
**课程名称：** 使用 Kubernetes 的 DevOps 项目：实践指南 **课程概述：** 本课程专为具备基础 DevOps 和 AWS 云经验，并希望通过动手实践来巩固所学知识的学习者设计。课程内容广泛，但侧重于实践而非深入理论。 **先修知识：** 学习者应具备一定的 DevOps 和 Kubernetes (如 StatefulSets, Deployments, Pods) 以及 AWS (如 IAM roles, EC2 instances, S3 buckets) 基础知识。 **课程内容亮点：** * **Kubernetes on AWS 部署：** 探索多种在 AWS 上部署 Kubernetes 的方法，包括 EKS、kops，以及使用 Terraform 和 Packer 半自动化的 kubeadm 部署。 * **Kubernetes 应用部署：** 深入学习 Kustomize、Helm 和 Operator (Kudo) 等应用部署工具，理解它们在 Kubernetes 应用管理中的作用。 * **“天气应用” 微服务实战：** 通过一个由 Go、JavaScript 和 Python 组成的三组件微服务应用“天气应用”，学习并实践课程中的 DevOps 概念。 * **CI/CD 实践：** 使用 GitLab 构建和优化 CI/CD 管道，实现持续交付和部署。 * **灾难恢复与数据保护：** 学习如何利用 EBS 快照和第三方工具 Velero 建立灾难恢复和数据保护策略。 **课程特点：** * **高度实践性：** 课程包含大量动手实验，理论讲解精简。 * **真实世界应用：** 涵盖真实公司如何使用 Kubernetes、AWS 和 DevOps 技术。 * **进阶学习：** 适合希望将 Kubernetes、AWS 和 DevOps 技能提升到新水平的学习者。 **承诺：** 提供 30 天无条件退款保证。鼓励学习者观看预览视频。
This class in one mile wide and one foot deep!Welcome to DevOps projects using Kubernetes - a hands-on guide. This class is an intermediate to advanced level one. I designed it for anyone who has some basic DevOps and cloud (AWS) experience but they need hands-on labs to practice what they've learned.Get ready to take your Kubernetes, AWS, and DevOps knowledge and experience to the next level by exploring how real-world companies use these technologiesIn this class, you will find very little theory and very much hands-on. It's important to understand how this course is designed before making the decision to enroll in it. For example, you will find many practical use-cases for Helm. But you will not find a reference to all Helm commands. I assume you already have some experience with that. I also assume that you have some Kubernetes and AWS knowledge so topics like StatefulSets, Deployments, Pods, and IAM roles, EC2 instances, and S3 buckets will not be explained from scratch.Having said that, let's explore what this class covers:More than one way to deploy Kubernetes on AWS. Although most companies choose the easy option which is using EKS for deploying Kubernetes, there are other ways available like kops. If you don't want to use a tool, you can even do it the hard way using kubeadm. We'll see how we can semi-automate the process using Terraform and Packer.When it comes to app-provisioning in Kubernetes, the list goes long. In section 2, we explore the most well-known app-provisioning tools. We start with Kustomize, then we move to Helm. Finally, we dive into the most sophisticated (yet, most powerful) way of Kubernetes app-provisioning: using operators. We'll learn about Kudo, which takes care of a lot of the heavy lifting for us. For the rest of the class, we could not just continue with a Hello-World type of application. We needed something more complex yet easy to digest. So, we developed an application specifically for this class called "The Weather app". It's a microservices application that consists of three components. Written in Go, JavaScript, and Python, The Weather App will help you understand the DevOps concepts laid out in the rest of the courseIn the CI/CD part of this class, we explore Gitlab, which is one of the most prominent tools out there. We create a simple CI pipeline then we gradually make it more complex by introducing continuous delivery and deployment. Finally, we explain how we can establish disaster recovery and data protection using EBS volume snapshots as well as using a third-party tool called Velero.I hope you will enjoy watching this class and doing the labs inside. As always, you have 30-days money-back guarantee, no questions asked. Go ahead and have a look at the preview videos, and enroll now!
