Join Gene Kim and Mik Kersten as they discuss their favorite talks from DevOps Enterprise Summit 2017 and the ways we’ll see the DevOps movement grow in 2018. Hear how the focus on value stream thinking, the dismantling of the monolith and transformational leadership are shaping the future of DevOps as it permeates throughout the enterprise.

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2017 DevOps Enterprise Favorites
Dr. Mik Kersten (Co-Founder & CEO, Tasktop)
Gene Kim, DevOps Enthusiast, Researcher

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Meet Your Presenters
Gene Kim
Author, Researcher
IT Revolution
Dr. Mik Kersten
Co-Founder & CEO
Tasktop

3. © Tasktop 2016
4th Annual DevOps Enterprise Summit

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Mik: Barclays
Jonathan Smart
Head of
Development
Services, Barclays

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Gene: KeyBank
John Rzeszotarski,
SVP, Director of
Continuous
Delivery
Stephanie Gillespie,
SVP, Head of Digital
Chanel Technology

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This is John Rez’s second year presenting — he first attended DevOps
Enterprise in 2015, and left committed to modernize technology practices
Took advantage of customer outage to make case for modernization — an
amazing diagram showing the network traffic/transactions needed for
each customer login
Partnered with Stephanie Gillespie to build capabilities needed to deliver
on Digital17 — reduce time and cost to experiment.
C# script to generate the diagram
Kubernetes in production
These people are getting promoted
KeyBank and containers on CNBC Mad Money
Gene: KeyBank

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Mik: John Allspaw
John Allspaw
Co-Founder, Adaptive
Capacity Labs

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Gene: Safety and Lean Panel
Dr. Sidney Dekker
Author: “Just Culture”
Dr. Steve Spear
Author: ”High Velocity
Edge”
Dr. Richard Cook
Author: “Why Complex
Systems Fail”

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Explored commonalities and areas of divergence between the
areas that DevOps draws upon the most
I watched the 30m panel five times — so many amazing
anecdotes
Psychological safety and the needed symmetry between line workers and leaders
Investigation into the US Navy accidents in South Pacific
Dr. Cook’s notion of the needed ethics of DevOps
Gene: Safety and Lean Panel

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Mik: Jaguar Land Rover
Chris Hill,
Software
Development
Manager,
Jaguar Land Rover

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Gene: Capital One
Dr. Topo Pal,
Senior Engineering
Fellow
Jennifer Brady,
Technology
Governance
Director,
Capital One

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This is Dr. Topo Pal’s fourth year presenting — it’s amazing to
watch the journey of Capital One and his role in it
One of his missions is to show that continuous delivery is as
secure, or more secure, than status quo
He co-presented with Jennifer Brady, Director of Technology
Governance, where she helped make that case
She was former director of internal audit
Helped shape the thought-process that led to “clean room deployment” model
Loved Pal’s thought process of why “button pushers” were not acceptable
Gene: Capital One

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Mik: Dominica DeGrandis

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Tisson Matthew, former Director of Engineering, Amazon
Everyone thinks that doing things at Amazon is easy — but imagine
trying to do an enterprise-level program where you have to deal
with 300+ teams that don’t care about what you’re trying to do.
Amazon is organized into Ordering, Fulfillment, and Transportation.
Originally imagined as primarily a Transportation problem —
instead, it required massive changes to all three areas.
I learned by Amazon Prime Now required a different iOS application
The need for something like “scaled agile” in most organization
Their reliance on mocks to deal with interacting with services, even long before they got
around to making needed changes
Gene: Making of Amazon Prime Now

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Mik: Troy McGennis

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Dr. Mik Kersten and Carmen DeArdo, Nationwide
The incredibly persuasive case for the rise of architecture —
not as technology platforms but as a way to enable flow
through incredibly complex value streams.
I loved how flow metrics can describe situations we’ve all seen:
Technical debt causes throughput to grind to halt: LinkedIn Project Inversion scenario
Elevating architecture/technical debt to business investment level: 2017 Equifax data
breach scenario
The virtuous cycle where we can maximize developer productivity: 2005 birth of
automated testing culture at Google automated
Gene: Value Stream Architecture