the-aiops-book

# The AIOps Book Master AI-powered infrastructure automation with this hands-on guide to building production-ready MCP servers and AI agents in Go. Transform from manual AWS operations to intelligent automation that understands your environment and makes smart decisions while keeping humans in control. ## Book Structure & Content ### Preface - Who This Book Is For - What You'll Build - How This Book Is Organized - A Note on the Rapidly Evolving Landscape - Acknowledgments to the Community ### Part I: Foundation #### Chapter 1: The AIOps Revolution - The Limits of Traditional Automation - What AIOps Really Means - The Infrastructure Context Problem - Enter MCP and AI Agents - Real-World Impact and Case Studies - Why This Matters Now - What You'll Learn in This Book #### Chapter 2: AI Fundamentals for DevOps Engineers - Understanding Large Language Models for Infrastructure Work - The Context Window and Memory Limitations - Prompt Engineering for Infrastructure Automation - AI Capabilities and Limitations in Operations - Security Considerations for AI-Powered Infrastructure - Integration Patterns with Existing Tools - Choosing the Right AI Models and Providers - Building Reliable AI Systems - What's Next #### Chapter 3: Model Context Protocol Deep Dive - What MCP Is and Why It Matters - MCP Architecture and Core Concepts - Protocol Specifications and Communication Patterns - MCP vs REST APIs and GraphQL - Real-World MCP Use Cases in DevOps - The MCP Ecosystem and Tooling - Security and Trust in MCP Implementation - Protocol Evolution and Future Directions - What's Next #### Chapter 4: Setting Up Your Development Environment - Go Development Environment for MCP - AWS CLI and SDK Configuration - AI Tools Integration - What's Next ### Part II: Building MCP Servers #### Chapter 5: Your First MCP Server in Go - Project Structure and Dependencies - Basic MCP Protocol Implementation - AWS SDK Integration - Resource Discovery and Formatting - Testing Your MCP Server - What's Next #### Chapter 6: MCP Tools for Infrastructure Actions - Understanding MCP Tools vs Resources - Project Structure for Tools - Implementing MCP Tools - Extending the AWS Client - Tool Registration in MCP Server - Real-World Example: Complete AI-to-Infrastructure Flow - Chapter Summary #### Chapter 7: Advanced AWS Operations - The Production Infrastructure - AWS Infrastructure Fundamentals - Enhanced MCP Server Architecture - Extended Project Structure - Core Parameter Structures - VPC and Networking Tools Implementation - Auto Scaling Group Tools Implementation - Application Load Balancer Tools Implementation - RDS Tools Implementation - Tool Registration and MCP Integration - Real-World Example: Complete Production Deployment - Chapter Summary - What's Next #### Chapter 8: Refactoring for Production-Ready Architecture - Understanding the Current Architecture's Limitations - Refactoring Goals and Vision - Key Refactoring Steps - Challenges and Solutions - Preparation for Chapter 9 - Conclusion #### Chapter 9: GitHub Copilot and MCP Integration for Infrastructure Automation - GitHub Copilot and MCP - VS Code MCP Configuration Deep Dive - Real-World Scenario: Three-Tier Application with GitHub Copilot - Understanding Copilot's AI Decision Process - Advanced Copilot Integration Patterns - Debugging and Troubleshooting MCP with GitHub Copilot - Chapter Summary ### Part III: AI Agents for DevOps #### Chapter 10: AI Agents Architecture - From Stateless Tools to Stateful Agents - AI Agent Foundation - Agent Architecture Patterns - Agent Components Deep Dive - Enterprise Agent Considerations - What You've Learned - What's Next #### Chapter 11: Understand What You Will Build - The Evolution from Automation to Intelligence - Core Principles of AI Infrastructure Agents - AI Agent Architecture Overview - The Agent Execution Flow - What You Will Build - The Strategic Advantage - What's Next #### Chapter 12: Introduction to LangChain Framework - What is LangChain? - Why LangChain for Infrastructure Agents? - LangChain Core Concepts - Mapping LangChain to Your Agent Architecture - Agent Patterns in LangChain - LangChain in Go vs Python - Why This Matters for Infrastructure Automation - What You've Learned - What's Next