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 AIcourse 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:

Lectures

Demos

Quizzes

Assignments

Course Contents:

Course Introduction

Getting Started with K8sGPT

Environment Setup using CLI and In-Cluster Operator

Core Components of K8sGPT

- Analyzers, Filters, AI-Powered insights (Backends)

K8sGPT Operating/Process Flow

AI Backend Integrations

- Google Gemini

- Amazon Bedrock

Essential K8sGPT Commands and Usage

- analyze

- auth

- filter

- integration

JSON Output, Data Anonymization, Interactive Terminal and Debugging in K8sGPT

K8sGPT Integrations with Prometheus

Analyzing Real-Time Issues

Case Study for K8s Dashboards (using KubeBuddy) and Recommendations (using K8sGPT)

K8sGPT using In-Cluster Operator for K8s Clusters in-depth

Claude Desktop Integration with K8sGPT

All 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
More Info