[{"_1":2,"_42":-5,"_43":-5},"loaderData",{"_3":4,"_10":11,"_40":-5,"_41":-5},"root",{"_5":-5,"_6":-5,"_7":-5,"_8":9},"user","shoppingCartId","toast","locale","en","routes/_store+/_readers+/email_author.$slug/route",{"_12":13,"_39":-5},"book",{"_14":15,"_16":17,"_18":19,"_20":21,"_22":23,"_24":25},"id","Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6Qm9va1Byb2R1Y3QvNjYzNTQ","title","The AIOps Book","state","published","contactAuthorMethod","email","aboutText","

Transform your infrastructure operations with AI-powered automation that actually works in production. This comprehensive guide teaches DevOps engineers, SREs, and platform architects how to build intelligent systems using the Model Context Protocol (MCP) and AI agents with Go.

Stop copying configuration files into ChatGPT and start building AI assistants that understand your AWS environment directly. Learn to create MCP servers that give AI systems real-time access to your infrastructure, develop agents that can provision complete environments from natural language descriptions, and implement secure automation workflows that augment human expertise without replacing it.

Written by a practicing DevOps engineer for practitioners, this book focuses on production-ready solutions rather than theoretical concepts. You'll build working systems from day one: MCP servers that integrate with AWS APIs, AI agents that can analyze deployment failures and suggest specific fixes, and complete automation workflows that handle the repetitive tasks while keeping humans in control of critical decisions.

Every chapter includes working Go code examples, real-world scenarios, and practical patterns you can adapt to your environment. The companion GitHub repository provides complete implementations that you can deploy and extend immediately.

Whether you're automating your first infrastructure task with AI or designing enterprise-scale AIOps platforms, this book gives you the knowledge and tools to build systems that are both intelligent and reliable. Learn to leverage AI's pattern recognition and reasoning capabilities while maintaining the security, auditability, and control that production environments require.

The future of infrastructure operations isn't about replacing DevOps engineers with AI—it's about augmenting human expertise with tools that can handle complexity at scale. Start building that future today.

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