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For the modern DevOps professional, the gap between an idea and its implementation is filled with verbose YAML, complex configuration, and repetitive boilerplate. PromptOps: From YAML to AI introduces a new, more efficient workflow that treats Artificial Intelligence not as a replacement for your expertise, but as a powerful co-pilot to augment it.

This book provides a practical guide for engineers to transition from being builders of complex systems to directors of them. It moves beyond theory to offer a hands-on approach, centered on the C.R.A.F.T. framework (Context, Role, Action, Format, Tone)—a clear and repeatable methodology for giving precise instructions to an AI to get production-quality results, the first time.

Inside, you will learn to:

Generate Infrastructure as Code for Terraform, CloudFormation, and Ansible by describing infrastructure in plain English.
Master CI/CD pipelines for GitHub Actions and GitLab CI, eliminating the toil of writing YAML from scratch.
Perfect containerization by generating optimized, multi-stage Dockerfiles and complete Kubernetes manifest sets.
Accelerate daily tasks by creating robust scripts for automation, health checks, and backups.
Improve incident response by using your AI assistant to analyze logs, draft communications, and structure post-mortems.
Codify and scale your team's knowledge by building a shared, version-controlled library of \"Prompts-as-Code.\"

PromptOps is written for the professional SRE, platform engineer, or developer who understands that the future of operations lies in leveraging automation at a higher level. This book will equip you with the skills to reduce complexity, increase consistency, and focus on the high-level architectural challenges that deliver real business value.

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