Hands-On Aiops: Best Practices Guide to Implementing Aiops (Paperback)
Sabharwal, Navin, Bhardwaj, Gaurav
- 出版商: Apress
- 出版日期: 2022-07-21
- 售價: $1,710
- 貴賓價: 9.5 折 $1,625
- 語言: 英文
- 頁數: 170
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1484282663
- ISBN-13: 9781484282663
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商品描述
Welcome to your hands-on guide to artificial intelligence for IT operations (AIOps). This book provides in-depth coverage, including operations and technical aspects. The fundamentals of machine learning (ML) and artificial intelligence (AI) that form the core of AIOps are explained as well as the implementation of multiple AIOps uses cases using ML algorithms.
The book begins with an overview of AIOps, covering its relevance and benefits in the current IT operations landscape. The authors discuss the evolution of AIOps, its architecture, technologies, AIOps challenges, and various practical use cases to efficiently implement AIOps and continuously improve it. The book provides detailed guidance on the role of AIOps in site reliability engineering (SRE) and DevOps models and explains how AIOps enables key SRE principles.
The book provides ready-to-use best practices for implementing AIOps in an enterprise. Each component of AIOps and ML using Python code and templates is explained and shows how ML can be used to deliver AIOps use cases for IT operations.
What You Will Learn
- Know what AIOps is and the technologies involved
- Understand AIOps relevance through use cases
- Understand AIOps enablement in SRE and DevOps
- Understand AI and ML technologies and algorithms
- Use algorithms to implement AIOps use cases
- Use best practices and processes to set up AIOps practices in an enterprise
- Know the fundamentals of ML and deep learning
- Study a hands-on use case on de-duplication in AIOps
- Use regression techniques for automated baselining
- Use anomaly detection techniques in AIOps
Who This Book is For
AIOps enthusiasts, monitoring and management consultants, observability engineers, site reliability engineers, infrastructure architects, cloud monitoring consultants, service management experts, DevOps architects, DevOps engineers, and DevSecOps experts
商品描述(中文翻譯)
歡迎來到《人工智慧運營指南》這本實踐性的書籍。本書深入探討了人工智慧運營（AIOps）的操作和技術方面。書中詳細解釋了構成AIOps核心的機器學習（ML）和人工智慧（AI）的基礎知識，以及使用ML算法實現多個AIOps應用案例的方法。
本書首先概述了AIOps的相關性和在當前IT運營環境中的好處。作者討論了AIOps的演進、架構、技術、挑戰以及各種實際應用案例，以有效實施AIOps並不斷改進。本書詳細介紹了AIOps在站點可靠性工程（SRE）和DevOps模型中的角色，並解釋了AIOps如何實現關鍵的SRE原則。
本書提供了在企業中實施AIOps的即用最佳實踐。書中解釋了AIOps和使用Python代碼和模板的ML的每個組件，並展示了如何使用ML來實現IT運營的AIOps應用案例。
你將學到什麼：
- 了解AIOps及相關技術
- 通過應用案例了解AIOps的相關性
- 理解AIOps在SRE和DevOps中的應用
- 理解AI和ML技術和算法
- 使用算法實現AIOps應用案例
- 使用最佳實踐和流程在企業中建立AIOps實踐
- 了解ML和深度學習的基礎知識
- 學習AIOps中去重的實踐案例
- 使用回歸技術進行自動基準設定
- 在AIOps中使用異常檢測技術
本書適合對AIOps感興趣的人、監控和管理顧問、可觀察性工程師、站點可靠性工程師、基礎架構架構師、雲監控顧問、服務管理專家、DevOps架構師、DevOps工程師和DevSecOps專家。
作者簡介
Navin Sabharwal is currently Chief Architect and Head of Strategy for Autonomics, named "DRYiCE" at HCL technologies. He is responsible for innovation, presales, and delivery of award-winning autonomics platforms for HCL technologies. Navin is an innovator, thought leader, author, and a consultant in areas of AI and machine learning (ML), observability, AIOps, DevOps, DevSecOps, engineering, and R&D. He is responsible for IP development & service delivery in the areas of AI and ML, automation products, cloud computing, public cloud AWS, Microsoft Azure, VMWare private cloud, Microsoft private cloud, data center automation, analytics for IT operations, and IT service management.
Gaurav Bhardwaj is a seasoned IT professional and technology evangelist with expertise in service assurance, cloud computing, AI/ML-based software product development, engineering, and data analytics. He has international experience in developing and executing IT automation strategies and solutions that are aligned with business goals as well as heading multi-million USD services globally. Gaurav has a proven track record of achievements in roles of enterprise architect and consultant for large and complex global engagements (includes multiple Fortune 500 companies) leveraging automation as the pivot for business development as well as for transforming legacy environments/platforms into next-generation IT environments powered by cloud-native and containerized apps, SDI, and AIOps and DevOps methodologies.
作者簡介(中文翻譯)
Navin Sabharwal目前是HCL Technologies的Autonomics部門的首席架構師和策略負責人，該部門名為"DRYiCE"。他負責創新、售前和交付HCL Technologies獲獎的自主平台。Navin是AI和機器學習(ML)、可觀察性、AIOps、DevOps、DevSecOps、工程和研發領域的創新者、思想領袖、作者和顧問。他負責AI和ML、自動化產品、雲計算、公有雲AWS、Microsoft Azure、VMWare私有雲、Microsoft私有雲、數據中心自動化、IT運營分析和IT服務管理領域的知識產權開發和服務交付。
Gaurav Bhardwaj是一位經驗豐富的IT專業人士和技術傳道者，擅長服務保證、雲計算、基於AI/ML的軟件產品開發、工程和數據分析。他在開發和執行與業務目標相一致的IT自動化策略和解決方案方面具有國際經驗，並在全球范圍內領導價值數百萬美元的服務。Gaurav在企業架構師和顧問角色中取得了卓越的成就，為大型和複雜的全球項目（包括多家財富500強公司）提供自動化作為業務發展的關鍵，並將傳統環境/平台轉變為由雲原生和容器化應用程序、SDI和AIOps和DevOps方法支持的下一代IT環境。
