Devops AI Guidelines MCP Server

DevOps AI Guidelines & Learning Path

Sponsored by Versus Incident

<p align="center"> <img alt="DevOps AI Guidelines & Learning Path" src="https://cdn.jsdelivr.net/gh/VersusControl/devops-ai-guidelines@0eec1c0/resources/images/repo-cover.svg" width="100%"> </p>

Overview

This repository provides everything you need to master AI in DevOps - from your first AI tool to becoming an AI Infrastructure Architect. Whether you're starting your AI journey, implementing AI in your team, or leading enterprise AI adoption, we've got comprehensive resources and proven frameworks to guide your success.

What You'll Find Here

• Complete learning roadmap from DevOps to AI Infrastructure Architect
• Structured tutorials for AI fundamentals and advanced techniques
• Enterprise AI frameworks for safe team implementation
• Career acceleration strategies and interview preparation
• Daily productivity tips and automation workflows
• Cloud optimization using AI tools and techniques

Repository Contents

AI Learning Path for DevOps

Complete 18-month journey from DevOps Engineer to AI Infrastructure Architect

Document	Description	Status
AI Roadmap Overview	Complete visual learning path with 3 phases and navigation	✅ Available
MCP for DevOps	Complete guide to building MCP servers with Golang and Kubernetes	✅ Available
AI Agent for DevOps	Complete guide to building AI Agent with Golang and LangChain	✅ Available
AI Agent for Monitoring	The Versus SRE Agent - Monitor your systems and automatically escalate unexpected issues by learning what "normal" looks like	✅ Available
AI Project Management	An Engineer's Journey to Building an Intelligent Project Management with OpenClaw	✅ Available
SRE Agent Brain	The SRE Agent's Runbook Brain - Building system knowledge so your agent retrieves the right fix the moment an incident fires	✅ Available

For Teams & Organizations

Document	Description	Time to Read
AI Guidelines for DevOps Teams	Complete framework for implementing AI safely in your organization	15-20 min

For Individual Career Growth

Document	Description	Time to Read
AI Interview Preparation Guide	Master AI-related DevOps interview questions and scenarios	10 min
10 Essential AI Prompts for DevOps	Ready-to-use prompts that will boost your daily productivity	5 min

For Cloud & Certification

Document	Description	Time to Read
AWS Certification 10x Faster with AI	Accelerate your AWS learning using AI tools and strategies	8 min

Resources Example

Document	Description	Time to Read
How I Use AI Assistant to Create AWS Infrastructure	A conversation with your AI assistant about your infrastructure needs, and it builds everything for you.	12 min
AI Infrastructure Agent for AWS	Transform your AWS infrastructure management with natural language commands!	12 min

Quick Start Paths

Individual DevOps Engineer

1. Start with 10 AI Prompts for immediate productivity gains
2. Use AWS AI Learning to accelerate certifications
3. Prepare for interviews with AI Interview Guide

Team Lead/Manager

1. Review Team Guidelines for safe AI implementation
2. Share Daily Prompts with your team
3. Establish security framework from the guidelines

Organization/CTO

1. Implement AI Guidelines across teams
2. Train teams using all resources as reference material
3. Monitor and optimize based on provided frameworks

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support This Project

If these guidelines have helped your team implement AI safely and effectively, consider:

• ⭐ Starring this repository
• 💖 Sponsoring continued development

---

Made with ❤️ by the DevOps VN community | Helping DevOps professionals thrive in the AI era