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Gartner Symposium Barcelona 12. November 2013 IT operations of the future AI and analytics based automation arago AG – the Automation Experts www.arago.de Hans-Christian Boos @boosc
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IT ops of the future: AI and analytics-based automation

May 18, 2015

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arago GmbH

Gartner Symposium Barcelona
Presentation by Hans-Christian Boos (CEO)
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Page 1: IT ops of the future: AI and analytics-based automation

Gartner Symposium Barcelona 12. November 2013

IT operations of the futureAI and analytics based

automation

arago AG – the Automation Expertswww.arago.de

Hans-Christian Boos @boosc

Page 2: IT ops of the future: AI and analytics-based automation

you should have more time

Page 3: IT ops of the future: AI and analytics-based automation

you choose how to use the time you gained

convert your time to

quality

innovation

$ $ $

savings

Page 4: IT ops of the future: AI and analytics-based automation

focus on creating time out of operations

operationsimproveme

nt

In IT we spend 80% of our time on operations

Page 5: IT ops of the future: AI and analytics-based automation

converting time to money

success story on operating a major banking application

112

no automati

on

30% automatio

n

78

45

22

850%

automation

80% automatio

n

arago 93%

automation

status atproject start

minimum expected time gain

time gain achieved

maximum expected result

number of FTE experts needed

business case forfirst automation project

Page 6: IT ops of the future: AI and analytics-based automation

converting time to quality

success story on automating the portal of the world market leader in

lighting solutions

Mar 201310th generation of

application 900Mio€

transactions p.a.

Apr 2006start of project

Aug 20061 month after

end of migration

Dec 2006

70 % availabili

ty

95 % availabili

ty

99,999 %

availability

99,998 %

availability

Page 7: IT ops of the future: AI and analytics-based automation

Changeability

Quality

Cost Fun

Changeability

Quality

converting time to innovation

success story on moving from a governance to a brokerage culture in IT

provider managementCost

choose 2, forget 1 have all

Page 8: IT ops of the future: AI and analytics-based automation

bid-offer gap in IT:providers don’t offer what business

wants to buy

Page 9: IT ops of the future: AI and analytics-based automation

we treat IT like industrial production: standardize, taylorize, consolidate

Page 10: IT ops of the future: AI and analytics-based automation

but economies of scale cannot even cover 30% of all tasks

Volume

Com

ple

xit

y

Page 11: IT ops of the future: AI and analytics-based automation

accepting complexity as a fact of IT is key

Page 12: IT ops of the future: AI and analytics-based automation

no more man against machine

Page 13: IT ops of the future: AI and analytics-based automation

people and machine each have unique strengths

Page 14: IT ops of the future: AI and analytics-based automation

combining expert knowledge and AI conquers tasks not accessible to

economies of scale

Volume

Com

ple

xit

y

Page 15: IT ops of the future: AI and analytics-based automation

Check is engine

installed

Install SW if needed

Create EC2 Spot instance

Extract EC2 instance FQDN

Set EC2 AMI ID SLES

Read EC2 instance

Information

Set EC2 AMI ID CentOS

Set Type/Price for Spot Inst.

Request

Check EC2 Spot Request

StatusParse EC2 Spot

Request Output

Shutdown unused EC2

inst.

Start some test with EC2

instance

Start tests if precond. are

OK

EC2 install repository on

SLES

Install SW on SLES

Install SW on Linux

Run Simple AutoPilot CLI

Test

Retry Install

EC2 install repository

React on error„repository not

found“

Check AutoPilot CLI

React on „No provider of“

msg.

the AI combines knowledge to solve a specific problem. All permutations are

reviewed

Software In

stallatio

n

Amazon EC2 Management

AutoPilot Test

Amazon Spot Instance

Handling

Page 16: IT ops of the future: AI and analytics-based automation

automation no longer needs to inhibit change in IT

Page 17: IT ops of the future: AI and analytics-based automation

knowledge can be acquired by anyone.

Page 18: IT ops of the future: AI and analytics-based automation

AI and knowledge based automationbecause people’s time is too

valuable!

Page 19: IT ops of the future: AI and analytics-based automation

the future has already arrived…

Is enterprise IT ready to embrace it?

Or do we wait for others to make us obsolete while we stick to “what we

have always done”?

Page 20: IT ops of the future: AI and analytics-based automation

knowledge and AI based automation works throughout the IT

stack

Machine Nodes Resolved Issues: 663.975Automation Rate: 83,85%

Application Nodes Resolved Issues: 46.138Automation Rate: 69,78%Resource Nodes Resolved Issues: 254.298Automation Rate: 97,67%Software Nodes Resolved Issues: 988.495Automation Rate: 87,90%

Page 21: IT ops of the future: AI and analytics-based automation

Automation rates on the software level exemplify the breadth of

automation

antis

pam

dbm

s

files

ervic

es

netw

orkin

g

webse

rver

individ

ualapp

licat

ion

applica

tions

erve

r

virtu

aliza

tion

middlew

are

dire

ctor

ym

ail

firew

all

prox

y

sear

ch

mon

itorin

g lb

virus

prot

ectio

nfile

cms

applica

tion

data

base

web

netw

ork

plat

tform

system

sear

chen

gine

s50%

55%

60%

65%

70%

75%

80%

85%

90%

95%

100%

Automation Rate on Software

Automated Manual Automation

Page 22: IT ops of the future: AI and analytics-based automation

to resolve 1.952.906 tickets automatically the old way, you would need to write

74.899 different run-books,

we needed 436 knowledge items.

Page 23: IT ops of the future: AI and analytics-based automation

Thank you for your time which we hope was well invested, because dismissing good ideas can harm your future