Packt.Publishing.-.Agentic.AI.For.DevOps.Engineers.2026.RETAIL.EPUB.eBook-CTO

Section
eBooks/Audiobooks
Group
CTO
Size
21,01 MB
Files
7
Date
2026-08-09

NFO

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                                Packt Publishing
                                Trevoir Williams
                        Agentic AI For DevOps Engineers
                                      N/A
                                      2026
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      Publisher > Packt Publishing
      Author    > Trevoir Williams
      Title     > Agentic AI For DevOps Engineers
      Issue     > N/A
      Year      > 2026
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      ISBN      > 9781808083570
      Pages     > 283
      Genre     > Nonfiction Programming Devops
      Language  > English
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      Type      > RETAIL
      Media     > TECH
      Format    > .epub
      Section   > eBook
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      Published > 2026-07
      Release   > 2026-08-09
      Disks     > 05 x 5 MB
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                 -  - --   [ D E S C R I P T I O N ]   -- -  -
     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 Free with your book: DRM-free PDF   
   version + access to Packt's next-gen Reader* 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. 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 required What you will    
    learn Build a practical foundation in Generative AI for DevOps Apply AI    
       across GitHub, Azure DevOps, and CI/CD workflows Use AI to improve      
    automation, infrastructure, and operational efficiency 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.                           
                  -  - --   [ R E T A I L   U R L ]   -- -  -                  
        https://www.kobo.com/us/en/ebook/agentic-ai-for-devops-engineers       
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