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所在平台: Udemy |
课程主页: https://www.udemy.com/course/learning-path-learning-docker-and-kubernetes/
课程评论：没有评论
课程名称：学习路径：Docker与Kubernetes 课程概述：Docker是一个便于容器格式，使您可以在从桌面到云端的任何地方运行代码。Docker的工作流程使开发、测试和部署变得更加简单和快速。Kubernetes已成为容器管理、编排和部署的标准平台。为了在现实应用中部署Docker并获得实践经验，您需要熟悉Docker的基本概念。本课程包含两部分，全面讲解如何在市场领先的云平台上部署和管理应用程序，通过实践演示、清晰说明和生动的真实案例进行学习。您将掌握一系列Docker和Kubernetes的技能，并将其应用于自己的项目中。 该培训计划包括两个完整的课程，旨在提供最全面的培训。第一个课程《学习Kubernetes》从Kubernetes及其所有依赖项的基本安装开始，随后学习提高Kubernetes可用性的部署模式和概念。您还将了解如何使用MiniKube管理本地Kubernetes部署，创建和解码秘密以使用于应用，并学习如何将Docker应用部署到Kubernetes上。 第二个课程《高级Docker操作》教您如何创建Pods和多容器Pods，使用服务和卷，包括标签和选择器、Kubernetes服务，创建秘密和ConfigMaps，以及持久卷。您还将学习如何安装ELK栈、在Kibana中查看日志以及在Grafana中查看性能数据。同时，您将了解持续集成技术，以自动构建和测试Docker镜像。课程中还将介绍一些容器的使用案例，突出Docker如何解决特定问题。培训结束后，您将能够使用Kubernetes编排系统、监控Docker集群，并自动化应用程序的构建、测试和部署。 讲师介绍：本课程由以下杰出作者提供： - Braithe E.S. Warnock：现为安永金融服务部的云架构管理者，拥有丰富的国际经验，曾为多家大型公司提供PCF框架的构建与采用帮助。他具备多种云平台技术的专业知识，经验超过六年。 - Randall Smith：现为亚当斯州立大学的高级系统管理员，自1999年以来一直管理Windows、Linux和BSD系统，并积极帮助其他系统管理员解决问题。 通过本课程，您将深入了解Docker与Kubernetes的实际应用，提升在云计算和应用架构领域的技能与知识。
Docker is a portable container format that allows you to run code anywhere from your desktop to the cloud. Docker's workflow makes development, testing, and deployment much easier and much faster. Kubernetes has established itself as the standard platform for container management, orchestration, and deployment. To deploy Docker for real-world applications and gain hands-on experience with, deploying and managing market leading cloud platforms, you must be familiar with the basic concepts of Docker. This comprehensive 2-in-1 course teaches you to deploy and manage applications on leading cloud platforms, such as Docker and Kubernetes. You'll learn through practical demonstrations, clear explanations, and interesting real-world examples. It will give you a versatile range of Docker and Kubernetes skills, which you will put to work in your own applications. This training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible. The first course, Learning Kubernetes, starts off with basic installation of Kubernetes and all its dependencies. You will then learn deployment patterns and concepts for making Kubernetes highly-available. You will also learn how to manage a local Kubernetes deployment using MiniKube, Next, you will understand how to use secrets in your applications by creating and decoding secrets. You will learn to deploy your docker applications on Kubernetes. The second course, Working with Advanced Docker Operations, teaches you how to create pods and multi-container pods. You will then learn how to use services and volumes with pods such as labels and selectors, Kubernetes services, creating secrets and ConfigMaps, and plain and persistent volumes.You will also learn how to install the ELK stack, view logs in Kibana, and view performance data in Grafana. Next, you will learn how to use continuous integration techniques to automatically build and test Docker images. You will be glanced through some use cases on containers wherein each use case highlights a particular problem and you will find how Docker helps solve it. By the end of this training program, you'll be able to use Kubernetes orchestration system, monitor Docker cluster, and automate your applications to build, test, and deploy. Meet Your Expert(s): We have the best work of the following esteemed author(s) to ensure that your learning journey is smooth: ● Braithe E.S. Warnock is currently a managing cloud architect for the financial services division of Ernst & Young. He has had the opportunity to work with several of the largest PCF installations on an international scale. He helped build the framework for the adoption of PCF at top companies such as Ford, Comcast, DISH, HSBC, and Charles Schwab. As a vendor-neutral consultant, he enjoys helping people understand the rapidly-evolving world of cloud and application architecture. He has more than six years of experience and specialization in global digital transformations. He has expertise in various cloud and cloud platform technologies (PCF, AWS, Azure, VMware, Netflix OSS, Kubernetes, and OpenShift) and also the Java and Spring Boot frameworks. He has developed over 100 microservices using Spring Boot, Java 7/8, Spring Cloud, and Netflix OSS, spanning half a dozen unique cloud-native microservice architectures. He also has experience in developing machine learning models using AWS, Spark, and MLlib to support product recommendations and enhance customer data. ● Randall Smith is a senior systems administrator at Adams State University. He has been administering Windows, Linux, and BSD systems since 1999.He has been active in helping other sysadmins solve problems online and off. He has presented at the Colorado Higher Ed Computing Organization and Educause conferences on topics including Linux KVM and Ceph.In his spare time, Randall streams Let's Play gaming videos at Music Free Gaming on YouTube and Twitch.
