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It started as a routine deployment. One command, one quick approval. Then the alerts began.
Somewhere between "generated" and "applied," nobody checked what the AI had actually changed.
Claude Code for DevOps Automation shows you how to use an AI assistant on real infrastructure without losing control of it. Chapter by chapter, you build a complete lab repository and learn a method that holds up every time: inspect, change, review, validate, verify.
INSIDE, YOU WILL LEARN HOW TO
• Automate Git workflows, scripts, and pull request checks
• Build secure CI/CD pipelines with GitHub Actions
• Harden Docker containers and manage infrastructure with Terraform
• Deploy to Kubernetes and roll back when something breaks
• Spot prompt injection and keep your secrets safe
• Investigate incidents with evidence, not guesses
The real danger is not what your AI can do. It is what you never thought to check.
Scroll up and click "Buy Now" before your next deployment.
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