In this workshop, we’ll guide you through deploying a Kubernetes AI Agent using DigitalOcean's GenAI Platform. The goal is to create a Subject Matter Expert (SME) that can assist with managing Kubernetes clusters, including tasks like installation, configuration, troubleshooting, and scaling.
This hands-on session will demonstrate how to integrate Retrieval-Augmented Generation (RAG) and large language models (LLMs) to build an intelligent agent designed specifically for Kubernetes.
Managing Kubernetes clusters can be complex, requiring knowledge of container orchestration, networking, storage, and monitoring. An AI agent specialized in Kubernetes can:
- Provide instant troubleshooting guidance.
- Help with commands and configurations.
- Automate repetitive tasks.
- Serve as a knowledge base for Kubernetes best practices.
By the end of this workshop, you'll have a fully functional Kubernetes AI Agent deployed on DigitalOcean's GenAI platform.
- Deploy a GenAI Agent tailored for Kubernetes management.
- Customize the agent with function calling.
- Utilize DigitalOcean's GenAI infrastructure to deploy, test, and scale your agent.
Optionally, you can also modify this AI Agent to include:
- your own organizations configuration guides or best-practices
- any operational runbooks for managing Kubernetes in your organization
To support your journey, here are some additional resources for Kubernetes:
Before starting, ensure you have:
- Basic understanding of Kubernetes concepts (pods, nodes, services).
- Familiarity with YAML configurations and CLI tools.
Let’s get started and build something amazing! 🚀