Elvis Tafoh-Ngunjoh
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 engineeringContainers, Docker and cloud architectureCI/CD and automated release pipelinesInfrastructure as code with TerraformGitOps with Kubernetes and Argo CDObservability with Prometheus and GrafanaDevSecOps and security auditing with TrivyAutomated SRE incident responseGovernance and responsible AI operationThe 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.
