Agentic AI for DevOps Engineers: Building autonomous CI/CD, infrastructure, and operations workflows
Master Agentic AI for DevOps with hands-on guidance to automate CI/CD, infrastructure, observability, incident response, and cloud operations using AI agents and modern DevOps tools
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Key FeaturesBuild autonomous CI/CD, infrastructure, and operations workflows using AI agentsLearn AI-driven automation for observability, incident response, and cloud operationsImplement real-world Agentic AI solutions with DevOps tools, LLMs, and modern platformsBook Description
Agentic AI for DevOps is a practical, hands-on guide to building autonomous DevOps workflows powered by AI agents, LLMs, and intelligent automation systems. The book shows you how to modernize software delivery and cloud operations by integrating AI into CI/CD pipelines, infrastructure automation, observability, incident response, and platform engineering.
You’ll learn how to design AI-driven workflows that can analyze logs, automate deployments, optimize infrastructure, remediate failures, and improve operational efficiency with minimal human intervention. Through real-world projects and demonstrations, the book explores the use of AI copilots, orchestration frameworks, cloud-native tooling, and DevOps platforms to create scalable and production-ready autonomous systems. The book also covers prompt engineering, AI workflow orchestration, security, governance, and best practices for building reliable AI-powered DevOps environments.
By the end of the book, you’ll be able to confidently build, deploy, and manage AI-driven DevOps systems that improve speed, reliability, scalability, and operational efficiency.
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What you will learnBuild a practical foundation in Generative AI for DevOpsApply AI across GitHub, Azure DevOps, and CI/CD workflowsUse AI to improve automation, infrastructure, and operational efficiencyImplement AI with guardrails, governance, and enterprise awarenessEvaluate agentic AI for advanced DevOps scenariosUnderstand how agentic AI, tools, memory, and MCP extend DevOps automationUse AI to improve code, pipelines, infrastructure as code, and documentationWho this book is for
This book is designed for DevOps engineers, platform engineers, SREs, cloud architects, automation specialists, and software developers who want to leverage Agentic AI to automate and optimize modern DevOps workflows. It is ideal for professionals looking to build autonomous CI/CD pipelines, AI-driven infrastructure automation, intelligent monitoring systems, self-healing operations, and scalable cloud-native workflows using AI agents, LLMs, and modern DevOps platforms.
Table of ContentsGenerative AI Concepts for DevOpsPractical Applications of Generative AI in DevOpsDevOps AI Tools, Governance, and Enterprise ReadinessIntegrating Generative AI Into DevOps PipelinesAgentic AI for CI/CD Failure Triage and PR Quality AssessmentAgentic AI for Advanced DevOps Scenarios: Memory and MCPMulti-Agent Incident Response and Agent ObservabilityConclusion and Next Steps: Applying Generative AI to DevOps Responsibly
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