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  • 2022-06-11 11:59
java学生成绩管理系统课程设计源码故障排除-Kubernetes 这是 的代码存储库,由 发布。 它包含从头到尾完成视频课程所需的所有支持项目文件。 关于视频课程 容器正在改变应用程序的开发、部署和管理方式。 因此,容器编排已成为企业数字化转型之旅的关键基础设施。 Kubernetes 是一个开源容器编排平台,用于自动化容器化应用程序的部署、扩展和管理。 它已成为容器编排的事实上的标准。 本课程介绍了如何调试 Kubernetes 集群基础架构的问题,并展示了集群如何运行的工作概念模型。 您将解决开发人员在集群管理、监控和日志记录方面面临的常见问题。 随后,我们研究了在 Kubernetes 上创建和部署应用程序时的常见问题。 在课程结束时,您将完全控制您的 Kubernetes 基础设施,并能够轻松管理它。 请注意,本课程需要 Kubernetes 的应用知识。 你会学到什么 在生产中规划、操作和管理 Kubernetes 集群 对集群问题进行故障排除 在 Kubernetes 中选择正确的资源来满足您的基础架构目标 管理 Kubernetes 集群上的应用程序部署 配置集群范围的
# Troubleshooting-Kubernetes This is the code repository for [Troubleshooting Kubernetes [Video]](, published by [Packt]( It contains all the supporting project files necessary to work through the video course from start to finish. ## About the Video Course Containers are changing the way applications are developed, deployed, and managed. Consequently, container orchestration has become a critical piece of infrastructure for enterprises on their digital transformation journey. Kubernetes is an open-source container orchestration platform for automating the deployment, scaling, and management of containerized applications. It has become the de-facto standard for container orchestration. This course provides a tour of how to debug issues with the Kubernetes cluster infrastructure and presents a working conceptual model of how clusters operate. You will be addressing common problems faced by developers in cluster management, monitoring, and logging. Subsequently, we examine common issues when creating and deploying apps on Kubernetes. By the end of the course, you'll have gained full control of your Kubernetes infrastructure and will be able to manage it with ease. Please note a working knowledge of Kubernetes is required for this course. <H2>What You Will Learn</H2> <DIV class=book-info-will-learn-text> <UL> <LI>Plan, operate and manage a Kubernetes cluster in production <LI>Troubleshoot cluster issues <LI>Select the correct resources in Kubernetes to serve your infrastructure goals <LI>Manage application deployments on Kubernetes clusters <LI>Configure cluster-wide logging <LI>Monitor and set up alerts for cluster health and determine if any action is required <LI>Best practices for working with Kubernetes </LI></UL></DIV> ## Instructions and Navigation ### Assumed Knowledge This course is for sysadmins and developers who would like to implement easy and practical solutions to common issues encountered while using Kubernetes for large-scale container application management. Working knowledge of Kubernetes is assumed; this course explores it in more detail and examines the practical aspects of managing your clusters. ### Technical Requirements For successful completion of this course, students will require the computer systems with at least the following:<br/> OS: Windows 7+ / MacOS El Capitan / Ubuntu / Debian <br/> Connectivity: Working internet connection is required <br/> Processor: Intel core I5 or equivalent<br/> Memory: 4GB RAM<br/> Storage: 50GB<br/><br/> Software Requirements:<br/> OS: Windows 7+ / MacOS El Capitan / Ubuntu / Debian<br/> Browser: Chrome latest version<br/> Code Editor: Visual Studio Code or VIM<br/> Virtual Machines: Virtualbox -<br/> Dev Box: Vagrant -<br/> Kubernetes Local: minikube, kubeadm<br/> ### Author Bio Pradipta Banerjee<br/> Pradipta is a Senior Technical Staff Member and Cloud Platform Architect in IBM and leads cloud-native platform initiatives for IBM Systems Labs. He comes with an extensive infrastructure and cloud background and has worked on many first-of-a-kind projects for large enterprise customers across various industries, focusing primarily on virtualization, cloud, and container technologies. Since last few years he has been involved in developing and deploying Kubernetes based solutions for enterprise customers and helping them in their transformation journey.<br/> Pradipta is an IBM Master Inventor with many patents and received the Best of IBM and Outstanding Technical Achievement awards. Connect with Pradipta on: Twitter: @pradipta_kr LinkedIn:<br/><br/> Tomasz Lelek<br> Tomasz Lelek is a software engineer, programming mostly in Java and Scala. He has been working with the Spark and ML APIs for the past 6 years, with production experience in processing petabytes of data. He is passionate about nearly everything associated with software development and believes that we should always try to consider different solutions and approaches before attempting to solve a problem. Recently, he was also a speaker at conferences in Poland—Confitura, and JDD (Java Developers Day) and at Krakow Scala User Group. He has also conducted a live coding session at the Geecon Conference.<br/> ## Related Products * [Kubernetes Recipes [Video]]( * [Kubernetes in 7 Days [Video]]( * [Kubernetes Design Patterns and Extensions](