The future of DevOps isn’t just automation—it’s autonomy powered by AI agents.
After months of research, writing, and hands-on experimentation, I’m excited to officially launch AI Agents for DevOps (Part 1).
Why This Book Matters
Traditional DevOps practices focus on pipelines, automation scripts, and CI/CD tooling. But modern infrastructure is far more complex:
AI-driven applications
Vector databases and GPU workloads
Autonomous deployment decision-making
AI agents are becoming the invisible layer connecting data, code, and infrastructure. This book helps DevOps engineers and architects understand and implement these concepts from day one.
What You’ll Find in Part 1
Foundations of AI/ML for DevOps
Learn where AI fits in modern DevOps workflows and why it’s critical for the future.
AI Infrastructure Stack
Understand GPUs, vector databases, model registries, and how they integrate into an AI-optimized DevOps pipeline.
AI Agent Architectures & Protocols
Dive deep into architectures like MCP, SEDA, and SEGA that power autonomous systems.
Hands-On Labs
Build real-world labs from the public GitHub repository—designed to help you learn by doing.
Community Access
Join our Slack + WhatsApp groups for peer-to-peer learning and advanced discussions.
What You Get Beyond the Book
Quick Summary PDF: One-page highlights for every chapter.
Free Future Updates: Get video solution walkthroughs and advanced content updates by August 25, 2025.
Who Should Read This
DevOps Engineers aiming to upskill in AI-driven workflows
SREs and Platform Engineers managing AI-powered workloads
AI/ML Engineers looking for infrastructure insights
Tech Leads exploring autonomous DevOps systems
If your work touches cloud, automation, or AI in any way—this book is your starting point.
Get Your Copy
👉 [AI Agents for DevOps on Gumroad]
Final Thoughts
This is just Part 1—but it’s the foundation for a future where DevOps teams don’t just automate… they innovate and let intelligent systems handle the complexity.
Let’s build the future of autonomous, intelligent DevOps systems together.
See you inside the book and our growing community.
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