it transformation in the world of etsy
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IT transformation in the world of etsyTRANSCRIPT
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IT Transformation in the world of Etsy1
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Short Introduction
The World according to Gartner
The World according to Etsy
Lessons for IT-Transformation
our agenda
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my roles in IT
Littlebit weird Sits closer to the boss
Thinks too hard
Pulls levers & turns knobs Easily excited
Yells a lot in emergencies
Has the vision Uses his charm to get
things done Keeps his calm Saves the Enterprise!
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new IT according to Gartner
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Systems of Record
Systems of Differentiation
Systems of Innovation
gartner pace layer model
The Gartner solution?
80%
15%
5%% of IT spend
Mobile
Software anything
Smart M
achines
3D Printing
WebScale IT
Cloud/C
lient Arch.
Personal Cloud
Apps
Internet of Things
Hybrid C
loud
Or Not?
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welcome Etsy
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who is Etsy?
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more Etsy’s?
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Share one purpose across all functions: innovate or die!
e.g. Etsy: 30 innovations per day!
Develop & Deploy all innovations everyday
Hire the best and build a culture that loves engineers
Risk encouraging culture / embracing failure
Encourage experimentation
Measure everything (A/B)
what do these companies have in common?
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radical rethink IT
Current IT New IT
Legacy First Mobile First
Centralized Extremely de-centralized
Pace Layers (at best) Warp-speed on all layers
Deploy 4 times per year Deploy 4.000 times per year
Business - Development - OPS Scrum-DevOps
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new IT is C.A.L.M.
Culture
Automation
Lean & Agile
Measurement
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People who don’t take risks,
generally make about two big
mistakes per year.
!
People who take risks, generally
make about two big mistakes per
year.
culture for risk & failure
Peter Drucker Tom Peters
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automation of all IT
Automated Deployments / One-button delivery
Platform not ready for Deploy = L1
Production and pre-prod are identical at all levels and we
are fundamentalists about this
Near to 100% test automation
Never roll back, always roll forward
Our future is NO.OPS or ’Infrastructure as code'
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infrastructure as code?
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lean and agile
N = # of deploys
P = probability of site/system degradation
S = average severity of degradation
T = time to detect / resolve
Expected Downtime (or E.D.) = N x P x S x T
The case for continuous delivery
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before after
N = # of deploys
P = probability of site/system degradation
S = average severity of degradation
T = time to detect / resolve
Before AfterN = 1
P = 0,5
S = 0,7
T = 100
N = 250
P = 0,1
S = 0,05
T = 5
E.D. = 35 E.D. = 6,25
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measure in business terms
Business: “I want to find out whether!buyers will favor a single!price for the product that!includes shipping.”
Time: < 8 hoursStaff: One
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science fiction?
"The Future is already here. It’s just not very evenly distributed”
!
(William Gibson, novelist and inventor of the word 'cyberspace’)
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please reach out
www.jitscale.com
[email protected] !+ 31 6 24 26 1059 !
www.linkedin.com/in/paulvandermarck !www.facebook.com/paul.vandermarck
www.business-it.nl