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AI-Native DevOps
Paperback
Publisher Price: $44.99
Publisher: Tafoh Publishing
Published: Sep 11 2026
Pages: 512
Weight: 1.94
Height: 1.03 Width: 7.00 Depth: 10.00
Language: English
Artificial intelligence is no longer an optional appendix in systems engineering. It is the organizing principle of modern DevOps. AI-Native DevOps is a project-based professional guide for early-career to intermediate engineers ready to integrate AI into every layer of the software delivery lifecycle.
Rather than treating AI as a replacement for engineering judgment, this hands-on guide demonstrates how capable engineers use advanced automation and LLMs to clarify requirements, generate infrastructure as code, review configurations, diagnose complex failures, and accelerate incident response.
Every chapter guides you through realistic production workflows, and every chapter states plainly what its result establishes and what it does not. Each carries an execution status saying whether its lab runs end to end against the public companion repository or is a reviewed procedure, so you always know which claims you can reproduce yourself.
What you will build and master:
- AI-assisted workflows and prompt engineering
- Containers, Docker and cloud architecture
- CI/CD and automated release pipelines
- Infrastructure as code with Terraform
- GitOps with Kubernetes and Argo CD
- Observability with Prometheus and Grafana
- DevSecOps and security auditing with Trivy
- Automated SRE incident response
- Governance and responsible AI operation
The book is bound to a public companion repository carrying every command it prints, verified verbatim against the page, along with starter repositories, architecture diagrams, prompt libraries and lab validation scripts.
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