EasterBlack-owned or founded brands at TargetGroceryClothing, Shoes & AccessoriesBabyHomeFurnitureKitchen & DiningOutdoor Living & GardenToysElectronicsVideo GamesMovies, Music & BooksSports & OutdoorsBeautyPersonal CareHealthPetsHousehold EssentialsArts, Crafts & SewingSchool & Office SuppliesParty SuppliesLuggageGift IdeasGift CardsClearanceTarget New ArrivalsTarget Finds#TargetStyleTop DealsTarget Circle DealsWeekly AdShop Order PickupShop Same Day DeliveryRegistryRedCardTarget CircleFind Stores

Sponsored

Hands-On Aiops - by Navin Sabharwal & Gaurav Bhardwaj (Paperback)

Hands-On Aiops - by  Navin Sabharwal & Gaurav Bhardwaj (Paperback) - 1 of 1
$30.99 sale price when purchased online
$44.99 list price
Target Online store #3991

About this item

Highlights

  • Welcome to your hands-on guide to artificial intelligence for IT operations (AIOps).
  • About the Author: Navin Sabharwal is currently Chief Architect and Head of Strategy for Autonomics, named "DRYiCE" at HCL technologies.
  • 243 Pages
  • Computers + Internet, Intelligence (AI) & Semantics

Description



Book Synopsis



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 andtemplates 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




From the Back Cover



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 isexplained 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




About the Author



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.

Dimensions (Overall): 9.21 Inches (H) x 6.14 Inches (W) x .56 Inches (D)
Weight: .84 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 243
Genre: Computers + Internet
Sub-Genre: Intelligence (AI) & Semantics
Publisher: Apress
Format: Paperback
Author: Navin Sabharwal & Gaurav Bhardwaj
Language: English
Street Date: July 21, 2022
TCIN: 94297831
UPC: 9781484282663
Item Number (DPCI): 247-45-6238
Origin: Made in the USA or Imported
If the item details above aren’t accurate or complete, we want to know about it.

Shipping details

Estimated ship dimensions: 0.56 inches length x 6.14 inches width x 9.21 inches height
Estimated ship weight: 0.84 pounds
We regret that this item cannot be shipped to PO Boxes.
This item cannot be shipped to the following locations: American Samoa (see also separate entry under AS), Guam (see also separate entry under GU), Northern Mariana Islands, Puerto Rico (see also separate entry under PR), United States Minor Outlying Islands, Virgin Islands, U.S., APO/FPO

Return details

This item can be returned to any Target store or Target.com.
This item must be returned within 90 days of the date it was purchased in store, shipped, delivered by a Shipt shopper, or made ready for pickup.
See the return policy for complete information.

Related Categories

Get top deals, latest trends, and more.

Privacy policy

Footer

About Us

About TargetCareersNews & BlogTarget BrandsBullseye ShopSustainability & GovernancePress CenterAdvertise with UsInvestorsAffiliates & PartnersSuppliersTargetPlus

Help

Target HelpReturnsTrack OrdersRecallsContact UsFeedbackAccessibilitySecurity & FraudTeam Member Services

Stores

Find a StoreClinicPharmacyOpticalMore In-Store Services

Services

Target Circle™Target Circle™ CardTarget Circle 360™Target AppRegistrySame Day DeliveryOrder PickupDrive UpFree 2-Day ShippingShipping & DeliveryMore Services
PinterestFacebookInstagramXYoutubeTiktokTermsCA Supply ChainPrivacyCA Privacy RightsYour Privacy ChoicesInterest Based AdsHealth Privacy Policy