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AIOps – a technical overview

Tobias Kull, ITConcepts

18.01.2019

ITOPS expertise

• Splunk Entreprise

• BMC ControlM

• Infoblox NetMRI

IAM expertise

• CyberArk

About my background

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Tobias Kull

Ing. Telecom

MAS Information Security (in education)

Consultant since 2008

Agenda

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1.

2.

3.

5.

ITOps description

Overview

Implementation

Key success

Agenda

4. Show stoppers

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Definition AIOps

«According to Gartner, IT Operations personnel (IT Ops) are in the midst of a revolution. The forces of digital business transformation are necessitating a change to traditional IT management techniques. Consequently, we are seeing a significant change in current IT Ops procedures and a restructuring in how we manage our IT ecosystems. And Gartner’s term that captures the spirit of these changes is Artificial Intelligence for IT Operations (AIOps).»

Gartner’s definition

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Overview

Network Application Hardware ITSM LogStorage SaaS IoT

AIOps

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Implementation

Step 1: Where problems are lieing in our IT services

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Implementation

Step 2: Identify valuable data

More data you can provide and more AIOps will perform

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Implementation

Step 3: Understand and learn

Use the deep knowledge of your ITOps team!

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Implementation

Step 4: Machine Learning

The more key indicators AIOps knows about and the more data it has to search, a better accuracy can be expected

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Implementation

Step 5: Automation

Problems can be fixed before they occur or at least detected

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Implementation

"Take it step-by-step, starting in one area of your business, one system or application, one team or organization. Then repeat across other businesses, applications, and teams."

—Andi Mann (http://www.linkedin.com/in/andimann)

Important

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Where do you see your difficulties?

Go to www.menti.com and enter the code 39 40 4

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Difficulty no1

"AI is not a replacement for IT professionals. It’s a way to augment their abilities."—Guy Hummel (https://www.linkedin.com/in/guy-hummel/)

Difficulty 1: AIOps does not work alone

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Difficulty no2

Difficulty 2: Few data, unusable data

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Difficulty no3

As teams are working a silo mode with they own data sets, nobody has the complete overview.

Collect as much data as possible

Share them with all the teams

Store them for a long period of time

Build useful data sets to train AIOps

Difficulty 3: Datasets overview

• Small steps lead to success

• Know your data

• Know your services

• Use your ITOps employees’ know-how

• AIOps is an ongoing process

Success keys

https://quotesgram.com/img/team-building-quotes-for-work/12867243/

"AI is not a replacement for IT professionals. It’s a way to augment their abilities." — Guy Hummel, Cloud Academy, Inc.

Collect data, train AIOps

ITConcepts Professional GmbHITConcepts Solutions GmbHGrundstrasse 106343 RotkreuzSchweiz

Telefon: +41 41 790 32 32Fax: +41 41 790 35 35Web: www.itconcepts.chE-Mail: info@itconcepts.ch

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Questions?