K8sgpt Essentials - Unlocking Kubernetes Insights With Ai
 

Troubleshoot Kubernetes issues effortlessly with AI-powered diagnostics using K8sGPT
What you'll learn
Introduction to K8sGPT
Essential Concepts and Terminologies
Core Components of K8sGPT (Analyzers, Filters, AI-Powered Insights (Backends))
Claude Desktop Integration with K8sGPT
K8sGPT using In-Cluster Operator for K8s Clusters
Analyzing Real-Time Issues and finding Recommendations
K8sGPT using CLI for K8s Clusters
K8sGPT Commands and Usage
Requirements
Basic Unix/Linux Knowledge (Good to have)
Basic understanding of Docker and Kubernetes
Basic understanding of AI Ecosystem
Description
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!
Who this course is for
SRE Engineers
DevOps Administrators or DevOps Engineers
System Administrators or System Engineers
Anyone who is using Kubernetes in his/her work