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商品描述
Traditional DevOps is struggling with new challenges in today's fast-changing software world. With the rise of microservices, cloud-based systems, and AI-driven automation, managing software has become increasingly difficult. Teams often deal with too many tools, repetitive manual tasks, and slow innovation. NoOps provides a clear guide to using AI to streamline DevOps and reduce manual work.
The book starts by explaining how DevOps has evolved and why software development has become so fragmented. It highlights the importance of standardization as the first step toward NoOps. Readers will learn how AI can improve coding, testing, infrastructure management, and software deployment. It covers AI-powered development tools, automated testing, self-managing infrastructure, and intelligent AI agents that handle deployments and fix problems automatically. Real-world case studies show how companies are already using AI to transform their DevOps processes. Beyond automation, NoOps also explores how AI will change job roles, requiring new skills and shifting how teams work. It discusses ethical concerns, team dynamics, and the future of AI-driven software development.
Whether you're a developer, DevOps engineer, or tech leader, this book will help you understand and prepare for a future where AI plays a major role in software delivery.
What you will learn:
- How DevOps has evolved and why traditional methods struggle with modern software challenges. How AI can automate coding, testing, and infrastructure management to streamline workflows.
- Explore AI-driven DevOps strategies, including AI orchestration, self-healing infrastructure, and predictive analytics.
- Discover real-world case studies of companies successfully using AI to improve software delivery.
商品描述(中文翻譯)
傳統的 DevOps 正在面對當今快速變化的軟體世界中的新挑戰。隨著微服務、雲端系統和 AI 驅動的自動化的興起，管理軟體變得越來越困難。團隊經常面對過多的工具、重複的手動任務和緩慢的創新。NoOps 提供了一個清晰的指南，教導如何利用 AI 簡化 DevOps 並減少手動工作。
本書首先解釋了 DevOps 的演變以及為什麼軟體開發變得如此分散。它強調標準化作為邁向 NoOps 的第一步的重要性。讀者將學習 AI 如何改善編碼、測試、基礎設施管理和軟體部署。內容涵蓋了 AI 驅動的開發工具、自動化測試、自我管理的基礎設施，以及能夠自動處理部署和修復問題的智能 AI 代理。真實案例研究展示了公司如何利用 AI 轉型其 DevOps 流程。除了自動化，NoOps 還探討了 AI 將如何改變工作角色，要求新的技能並改變團隊的工作方式。它討論了倫理問題、團隊動態以及 AI 驅動的軟體開發的未來。
無論您是開發人員、DevOps 工程師還是技術領導者，本書將幫助您理解並為未來 AI 在軟體交付中扮演重要角色做好準備。
您將學到的內容：
- DevOps 如何演變以及為什麼傳統方法在現代軟體挑戰中掙扎。
- AI 如何自動化編碼、測試和基礎設施管理，以簡化工作流程。
- 探索 AI 驅動的 DevOps 策略，包括 AI 編排、自我修復基礎設施和預測分析。
- 發現成功利用 AI 改善軟體交付的公司真實案例研究。
作者簡介
Roman Vorel is a visionary IT executive recognized for leading large‐scale digital transformations, AI initiatives, and global DevOps programs. Over a 15+ year tenure at a Fortune 100, he has driven multimillion‐dollar IT portfolios--encompassing software development, infrastructure modernization, data governance, and AI/ML adoption. Renowned for bridging technology and business strategy, Roman has orchestrated significant gains in operational efficiency and time‐to‐market across diverse sectors, including aerospace, energy, and healthcare‐adjacent domains. A strong advocate for AI‐powered software delivery, he spearheaded generative AI rollouts that unified cloud, DevSecOps, and custom LLMs, radically boosting developer velocity. Roman is an active member of various elite technology forums, a keynote speaker on AI‐driven innovation, and a mentor to upcoming IT leaders. He holds an MBA and a Master's in Computer Science & Engineering, blending deep technical insight with strategic leadership.
作者簡介(中文翻譯)
Roman Vorel 是一位具前瞻性的資訊科技高管，以領導大規模數位轉型、人工智慧（AI）計畫和全球 DevOps 項目而聞名。在一家《財富》100 強公司工作超過 15 年，他推動了數百萬美元的資訊科技投資組合，涵蓋軟體開發、基礎設施現代化、數據治理和 AI/機器學習（ML）採用。Roman 以橋接技術與商業策略而聞名，成功在航空、能源和醫療相關領域等多個行業中實現了顯著的運營效率提升和市場反應時間縮短。他是 AI 驅動軟體交付的強力倡導者，主導了生成式 AI 的推出，統合了雲端、DevSecOps 和自訂大型語言模型（LLMs），徹底提升了開發者的工作效率。Roman 是多個精英技術論壇的活躍成員，並且是關於 AI 驅動創新的主題演講者，同時也是新興資訊科技領導者的導師。他擁有工商管理碩士學位和計算機科學與工程碩士學位，將深厚的技術洞察與戰略領導能力相結合。
