Kubert Lite Usage Videos: Guide for Setup, Querying, and Troubleshooting

Table of contents

  1. Kubert AI Assistant Setup
  2. Querying the Kubernetes Cluster with Kubert AI Agent
  3. Diagnosing and Fixing Resource Misconfigurations
  4. Installing Ollama and Configuring Kubert AI Assistant Lite
  5. Windows 10 Pro Setup for Developers

Kubert AI Assistant Setup

Below is a demonstration video that guides you through the setup and usage of Kubert AI Assistant Lite. Watch as we cover the deployment process, features, and key interactions with the AI Assistant.

Querying the Kubernetes Cluster with Kubert AI Agent

In this video, you’ll learn how to use the Kubert AI Agent to efficiently query your Kubernetes cluster using natural language prompts. We’ll demonstrate both basic and advanced use cases, showing how these prompts are seamlessly transformed into kubectl commands to simplify cluster management.

Diagnosing and Fixing Resource Misconfigurations

This video demonstrates how to identify and resolve resource misconfigurations in Kubernetes using the Kubectl AI Agent. Watch as we deploy a problematic manifest, diagnose an Out of Memory (OOM) error, and use AI-generated commands to dynamically adjust resource limits, showcasing the power of AI-driven automation.

The memory hog yaml can be found HERE

Installing Ollama and Configuring Kubert AI Assistant Lite

In this video, we walk you through the process of installing Ollama, deploying Kubert AI Assistant Lite, and configuring Ollama within the Kubert UI settings. This comprehensive guide is perfect for anyone looking to integrate AI-powered tools into their Kubernetes environment seamlessly.

Once, you’ve installed Ollama and configured the environment variables, pull the models from the Ollama library.

Additional information is available in Ollama Installation Guide.

Windows 10 Pro Setup for Developers

Follow along as we transform a fresh Windows 10 Pro installation into a powerful development environment. In this step-by-step guide, we’ll enable Hyper-V, configure WSL 2, install Ubuntu, Docker, Visual Studio Code, and Ollama. Whether you’re setting up a new machine or optimizing your current setup, this video provides everything you need to get started with a robust and AI-enhanced workflow. Perfect for developers at any level!

Table of contents