Hands-On Aiops: Best Practices Guide to Implementing Aiops (Paperback)
暫譯: 實作 Aiops：實施 Aiops 的最佳實踐指南 (平裝本)

Sabharwal, Navin, Bhardwaj, Gaurav

Hands-On Aiops: Best Practices Guide to Implementing Aiops (Paperback)
  • 出版商: Apress
  • 出版日期: 2022-07-21
  • 售價: $1,700
  • 貴賓價: 9.5 折 $1,615
  • 語言: 英文
  • 頁數: 170
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1484282663
  • ISBN-13: 9781484282663

    • 立即出貨 (庫存=1)

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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)

歡迎來到您的人工智慧運用於 IT 營運（AIOps）實作指南。本書提供深入的內容，包括操作和技術方面。書中解釋了構成 AIOps 核心的機器學習（ML）和人工智慧（AI）的基本原理，以及如何使用 ML 演算法實現多個 AIOps 使用案例。

本書首先概述了 AIOps，涵蓋其在當前 IT 營運環境中的相關性和好處。作者討論了 AIOps 的演變、架構、技術、AIOps 挑戰以及各種實用的使用案例，以有效實施 AIOps 並持續改進。書中詳細指導 AIOps 在網站可靠性工程（SRE）和 DevOps 模型中的角色，並解釋 AIOps 如何促進關鍵的 SRE 原則。

本書提供可立即使用的最佳實踐，以在企業中實施 AIOps。每個 AIOps 和使用 Python 代碼及模板的 ML 組件都進行了解釋，並展示了如何使用 ML 來交付 IT 營運的 AIOps 使用案例。

您將學到的內容

- 知道什麼是 AIOps 及其相關技術
- 通過使用案例理解 AIOps 的相關性
- 理解 AIOps 在 SRE 和 DevOps 中的啟用
- 理解 AI 和 ML 技術及演算法
- 使用演算法實施 AIOps 使用案例
- 使用最佳實踐和流程在企業中建立 AIOps 實踐
- 知道 ML 和深度學習的基本原理
- 研究 AIOps 中去重的實作案例
- 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

本書適合的讀者

AIOps 愛好者、監控和管理顧問、可觀察性工程師、網站可靠性工程師、基礎設施架構師、雲監控顧問、服務管理專家、DevOps 架構師、DevOps 工程師以及 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 的自動化首席架構師及策略負責人，該自動化平台名為 "DRYiCE"。他負責 HCL Technologies 獲獎的自動化平台的創新、售前及交付。Navin 是一位創新者、思想領袖、作者及顧問，專注於人工智慧 (AI) 和機器學習 (ML)、可觀察性、AIOps、DevOps、DevSecOps、工程及研發等領域。他負責 AI 和 ML、自動化產品、雲計算、公共雲 AWS、Microsoft Azure、VMWare 私有雲、Microsoft 私有雲、數據中心自動化、IT 運營分析及 IT 服務管理等領域的知識產權開發及服務交付。

Gaurav Bhardwaj 是一位經驗豐富的 IT 專業人士及技術推廣者，擁有服務保證、雲計算、基於 AI/ML 的軟體產品開發、工程及數據分析的專業知識。他在制定和執行與業務目標一致的 IT 自動化策略和解決方案方面擁有國際經驗，並負責全球數百萬美元的服務。Gaurav 在企業架構師和顧問的角色中擁有卓越的成就記錄，參與大型和複雜的全球項目（包括多家《財富》500 強公司），利用自動化作為業務發展的樞紐，並將遺留環境/平台轉型為由雲原生和容器化應用、SDI 及 AIOps 和 DevOps 方法論驅動的下一代 IT 環境。

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