Skip to main content

IBM Netcool Operations Insight: A Scenarios Guide

An IBM Redbooks publication


Published on 20 July 2016

  1. .EPUB (6.4 MB)
  2. .PDF (15.3 MB)

Apple BooksGoogle Play Books

Share this page:   

ISBN-10: 0738441856
ISBN-13: 9780738441856
IBM Form #: SG24-8352-00

Authors: Vasfi Gucer, Zane Bray, Rob Clark, Jeff Ditto, Manzoor Farid, Maciej Olejniczak, Ahmed A Saleh, Lanny Short and Steve Shuman

    menu icon


    IBM® Netcool® Operations Insight empowers your IT operations to use real-time and historical analytics to identify, isolate, and resolve problems before they affect your business. Powered by IBM Tivoli® Netcool/OMNIbus and the transformative capabilities of cognitive analytics, Netcool Operations Insight consolidates millions of alerts from across local, cloud, and hybrid environments into a few actionable problems.

    This IBM Redbooks® publication gives a broad understanding of Netcool Operations Insight and describes several scenarios that show the capabilities of this solution in a real-life environment. Each scenario features a different capability of Netcool Operations Insight. The scenarios are documented by using step-by-step figures with explanations to make them easier to implement in your own environment.

    The scenarios in this book are broken into the following categories:

    - Network management related scenarios

    - Network event and cognitive related scenarios

    - Network event related scenarios

    The target audience of this book is network specialists, network administrators, and network operators.

    Table of Contents

    Part 1. Introduction

    Chapter 1. IBM Netcool Operations Insight overview

    Part 2. Network management related scenarios

    Chapter 2. Networks for Operations Insight and the Network Health Dashboard

    Chapter 3. Geographic Discovery and Mapping

    Chapter 4. Golden configuration and dynamic compliance

    Part 3. Network event and cognitive related scenarios

    Chapter 5. Known slow traffic between two points in a network

    Chapter 6. Analytics-based event grouping and seasonality

    Part 4. Network event related scenarios

    Chapter 7. Flood event detection

    Chapter 8. Using the WebGUI event search feature

    Chapter 9. Scope-based event grouping


    Others who read this also read