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所在平台: Udemy |
课程主页: https://www.udemy.com/course/k8sgpt-essentials-unlocking-kubernetes-insights-with-ai/
课程评论：没有评论
课程名称: K8sGPT基础 - 通过AI解锁Kubernetes洞察 课程概述: K8sGPT基础课程旨在为您提供对K8sGPT的全面理解，涵盖基础概念到高级实现。K8sGPT简化了通过分析集群状态来识别和解决Kubernetes集群问题的过程，并提供人工智能驱动的洞察。课程从基础主题开始，介绍K8sGPT的工作流程，并详细讲解其丰富的文档。接着，您将学习如何使用k8sgpt CLI和In-Cluster Operator方法设置环境，以便对Kubernetes集群进行诊断。 您将探索K8sGPT的核心组件，如分析器和过滤器，并学习如何将k8sgpt与Google Gemini和Amazon Bedrock集成，以增强AI后台支持。此外，您将学习如何将K8sGPT与Prometheus和Grafana等工具集成进行监控和可视化。随着学习的深入，课程会涵盖JSON输出格式、数据匿名化、高级CLI标志以及Claude Desktop集成等更专业的领域。 到课程结束时，您将能够自信地使用K8sGPT进行实时Kubernetes故障排除，适用于多个环境。本课程专注于实践学习，结合真实场景和Kubernetes的集成，赋予您有效诊断、监控和故障排除Kubernetes集群的技能，利用K8sGPT和AI驱动的洞察。 特殊说明: 本课程旨在通过现场演示展示所有实用概念。每个概念都以实时方式呈现，出现的任何错误都会即时进行故障排除和处理。 课程结构: - 讲座 - 演示 - 测验 - 作业 课程内容: - 课程介绍 - K8sGPT环境设置（使用CLI和In-Cluster Operator） - K8sGPT核心组件 - 分析器、过滤器、AI驱动的洞察（后端） - K8sGPT操作/流程 - AI后端集成 - Google Gemini、Amazon Bedrock - K8sGPT的基本命令和用法 - analyze、auth、filter、integration - JSON输出、数据匿名化、交互终端和K8sGPT调试 - K8sGPT与Prometheus的集成 - K8s仪表板的实时问题分析案例研究（使用KubeBuddy）和推荐（使用K8sGPT） - 深入使用In-Cluster Operator进行K8s集群的K8sGPT - K8sGPT与Claude Desktop的集成 本课程所有部分均以实时演示的方式进行，旨在鼓励注册用户设置自己的环境，完成练习，并通过实践学习！
What's in this course?K8sGPT Essentials - Unlocking Kubernetes Insights with AI course is designed to provide you with a comprehensive understanding of K8sGPT, covering foundational concepts to advanced implementations.K8sGPT simplifies the process of identifying and resolving issues in Kubernetes clusters by analyzing cluster state and providing AI-powered insights.The course starts with the foundational topics covering K8sGPT process workflow, walk-through of its extensive documentation. Then you'll move on to setting up your environment using the k8sgpt CLI and In-Cluster Operator method to run diagnostics on Kubernetes clusters.You will explore the core components like analyzers, filters, and then dive into integrating k8sgpt with Google Gemini and Amazon Bedrock to enhance AI backend support. You'll learn K8sGPT integrations with tools like Prometheus & Grafana for monitoring and visualisation,As you progress, you'll delve into more specialized areas like JSON output formatting, data anonymization, advanced CLI flags, and Claude Desktop integration.By the end of this course, you'll be ready to use K8sGPT confidently for real-time Kubernetes troubleshooting across many environments.With a strong focus on hands-on learning, real-world scenarios, and Kubernetes integrations, this course will equip you with the skills to effectively diagnose, monitor, and troubleshoot Kubernetes clusters with K8sGPT and AI-driven insights.Special Note:This course is designed to showcase all practical concepts with live demonstrations. Every concept is presented in real-time, and any errors that arise are troubleshooted and addressed as they occur live in the demonstrations.Course Structure:LecturesDemosQuizzesAssignmentsCourse Contents:Course IntroductionGetting Started with K8sGPT Environment Setup using CLI and In-Cluster OperatorCore Components of K8sGPT - Analyzers, Filters, AI-Powered insights (Backends)K8sGPT Operating/Process FlowAI Backend Integrations- Google Gemini- Amazon BedrockEssential K8sGPT Commands and Usage - analyze- auth- filter- integrationJSON Output, Data Anonymization, Interactive Terminal and Debugging in K8sGPTK8sGPT Integrations with PrometheusAnalyzing Real-Time Issues Case Study for K8s Dashboards (using KubeBuddy) and Recommendations (using K8sGPT)K8sGPT using In-Cluster Operator for K8s Clusters in-depthClaude Desktop Integration with K8sGPTAll sections of this course are demonstrated live, with the goal of encouraging enrolled users to set up their own environments, complete the exercises, and learn through hands-on experience!
