Agentic AI for DevOps Engineers (Paperback)
Idioma: inglés
Editorial: Packt Publishing Limited, Birmingham, 2026
- Tapa blanda
- Nuevo
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
Vendedor de IberLibro desde 12 de octubre de 2005
Condición: Nuevo
EUR 51,61
Cantidad disponible: 1 disponible
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Paperback. 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 toolsFree with your book: DRM-free PDF version + access to Packt's next-gen Reader*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 DescriptionAgentic 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.Youll 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, youll be able to confidently build, deploy, and manage AI-driven DevOps systems that improve speed, reliability, scalability, and operational efficiency.*Email sign-up and proof of purchase requiredWhat 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 forThis 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …
N° de ref. del artículo 9781808083570
- Título
- Agentic AI for DevOps Engineers (Paperback)
- Autor
- Trevoir Williams
- Editorial
- Packt Publishing Limited, Birmingham
- Año de publicación
- 2026
- Estado
- new
- Encuadernación
- Paperback
- Idioma
- inglés
- ISBN 10
- 1808083571
- ISBN 13
- 9781808083570
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
A practical, hands-on guide to integrating AI into real-world DevOps workflows, with a strong focus on testing, troubleshooting, and maintaining deterministic controls around AI systems.
Wayne Anderson, Managing Director, Cloud Optimization and Cybersecurity, BDO USA
A pragmatic guide to AI-enabled DevOps that balances faster delivery with security, governance, human oversight, and controls for risks such as data leakage and hallucinated code.
Christophe Foulon, Principal vCISO and AI Governance Lead
Key Features
- Build autonomous CI/CD, infrastructure, and operations workflows using AI agents
- Learn AI-driven automation for observability, incident response, and cloud operations
- Implement real-world Agentic AI solutions with DevOps tools, LLMs, and modern platforms
Book 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.
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.
What you will learn
- Build a practical foundation in Generative AI for DevOps
- Apply AI across GitHub, Azure DevOps, and CI/CD workflows
- Implement AI with guardrails, governance, and enterprise awareness
- Evaluate agentic AI for advanced DevOps scenarios
- Understand how agentic AI, tools, memory, and MCP extend DevOps automation
- Use AI to improve code, pipelines, infrastructure as code, and documentation
Who 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 Contents
- Generative AI Concepts for DevOps
- Practical Applications of Generative AI in DevOps
- DevOps AI Tools, Governance, and Enterprise Readiness
- Integrating Generative AI Into DevOps Pipelines
- Agentic AI for CI/CD Failure Triage and PR Quality Assessment
- Agentic AI for Advanced DevOps Scenarios: Memory and MCP
- Multi-Agent Incident Response and Agent Observability
- Conclusion and Next Steps: Applying Generative AI to DevOps Responsibly
“Sinopsis” puede pertenecer a otra edición de este título.
Acerca del autor
Trevoir Williams is a software and systems engineer, lecturer, and author with over a decade of teaching experience. Holding a Master's degree in Computer Science and Microsoft Azure certifications, he brings strong expertise in web development, cloud systems, databases, and server administration. Trevoir combines industry experience with a practical teaching approach, simplifying complex concepts through real-world examples. Passionate about technology and education, he creates courses and resources that empower developers to build modern, scalable solutions with confidence.
“Acerca de” puede pertenecer a otra edición de este título.
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Vendedor de IberLibro desde 12 de octubre de 2005
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