The document discusses strategies for enterprises to transition to more frequent innovation and change like technology companies. It outlines several anti-patterns of traditional enterprise IT and new patterns that can help speed up delivery including: breaking up monolithic applications into microservices; investing in reskilling the workforce to be more customer-centric; automating security and compliance processes to match the speed of cloud; and building resilience by experimenting with failures instead of just planning for anticipated disasters. The overall goal is for enterprises to become "high-frequency" at delivering value through IT.

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T A I P E I
2019
Becoming aHighFrequency Enterprise
Philip Potloff
Head of Enterprise Strategy,AWS

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The enterprise IT spectrum

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Enterprises feel pressure to close the gap
Source: McKinsey

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Enterprises feel pressure to close the gap
Source: Puppet Labs State of DevOps Report

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Why do enterprises feel safer moving slow?
Failing or unstable applications
Security, risk, and compliance
Big bet launch failures

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Enterprises often focus on a big vision…

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Scope of project
And match that vision with big projects

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Anti-patterns of enterprise IT
And the new patterns that are helping enterprises move back to a high
frequency pace of change and innovation

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How to decide what to work on

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How to organize the work

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How to build it

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Invest in your
workforce
And put them closer
to your customers
Automate your
bureaucracy
To start
finishing
Build it in,
don’t bolt it on
Assume attack
and failure
1
Break up
the work
Monolith to
microservices
2 3 4

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Break up the work
Monolith to microservices
1

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1
Reduce the size
of deliverables
Transform
continuously
Maximize work
not done
Break up the work
Monolith to microservices

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1
Frequent
value delivery
Smaller blast
radius of risk
Staged
investments
Break up the work
Monolith to microservices

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Breaking up the monolith one service at a time 1

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Breaking up the monolith one service at a time 1

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Breaking up the monolith one service at a time 1

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Breaking up the monolith one service at a time 1

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Breaking up the monolith one service at a time 1
Decoupled functionality for
quicker/safer development
Gradually carve out one task
at a time to refactor
Works with cloud or
hybrid applications

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Breaking up the monolith one service at a time 1

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Invest in your
workforce
And put them closer
to your customers
Automate your
bureaucracy
To start
finishing
Build it in,
don’t bolt it on
Assume attack
and failure
1
Break up
the work
Monolith to
microservices
2 3 4

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Invest in your
workforce
And put them closer
to your customers
Automate your
bureaucracy
To start
finishing
Build it in,
don’t bolt it on
Assume attack
and failure
1
Break up
the work
Monolith to
microservices
2 3 4

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Invest in your workforce
And put them closer to your customers
2

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Invest in your workforce
And put them closer to your customers
2

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Invest in your workforce
And put them closer to your customers
Realign around customer
value, not systems
Run what you build —
DevOps enabled
You have the team you
need — reskilling
2

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Invest in your workforce
And put them closer to your customers
2
Business Analyst Product Manager Project Managers Designers
Developers Testers Implementers Operations
& Support

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Invest in your workforce
And put them closer to your customers
2
Small, decentralized
teams are nimble
Own/run
what you build
Business Analyst Product Manager Project Managers
Designers Developers Testers
Build & Release Operations
& Support

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2Reskilling the enterprise
7 people
?

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2Reskilling the enterprise
4000+
450+

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Measurable increase in
developer productivity
Created a culture of
experimentation
2Reskilling the enterprise

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2Reskilling the enterprise
Technology delivering business
outcomes faster
Other organizations wanting to
learn from AWS training model
Changed perception of working
for bank

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2Reskilling the enterprise
NAB now has 7%
of all AWS Certified individuals in all ANZ
BIG small

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Invest in your
workforce
And put them closer
to your customers
Automate your
bureaucracy
To start
finishing
Build it in,
don’t bolt it on
Assume attack
and failure
1
Break up
the work
Monolith to
microservices
2 3 4

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Automate your bureaucracy
To start finishing
3

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Automate your bureaucracy
To start finishing
3

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Automate your bureaucracy
To start finishing
Replace gatekeeping with
automated controls
Standardize on reusable
building blocks
Finished means
released
3

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Automate your bureaucracy
Delivering value using DevOps
3
44%
440x
46x
5x
Source: Puppet Labs State of DevOps Report

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Automating security to match speed & agility of cloud
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3
Verizon is currently moving
another 1,000 business
critical applications and
databases to AWS as its
preferred cloud provider

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Automating security to match speed & agility of cloud
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Analyzes basic
configuration rules
Deploys & validates
test configuration
Checks for production
release approval
1 2 3
Cloud native security, risk & compliance process

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Automating security to match speed & agility of cloud
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Compliance
with security
policies
Scales
across entire
organization
Rapid
integration of
new rules
Ability to
run when
needed
3

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Invest in your
workforce
And put them closer
to your customers
Automate your
bureaucracy
To start
finishing
Build it in,
don’t bolt it on
Assume attack
and failure
1
Break up
the work
Monolith to
microservices
2 3 4

52. Failures are a given and
everything will eventually fail
over time.
Werner Vogels
CTO—Amazon.com
“ “
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Build it in, don’t bolt it on
Assume attack and failure
4

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Build it in, don’t bolt it on
Assume attack and failure
4
Failure experiments Embed compliance
and security
Make security/reliability
everyone’s job

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How most enterprises think about resiliency
In theory, if everything
works perfectly, we
have a plan to survive
the disasters we thought
of in advance
How did that
work out?
4

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How fast moving (high frequency) organizations think about resiliency
Chaos engineering
is the discipline of experimenting
on a distributed system in order
to build confidence in the systems
capacity to withstand turbulent conditions
in production
experimenting
build confidence
capacity to withstand turbulent conditions
4

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How fast moving (high frequency) organizations think about resiliency
Experiment
to ensure that
The impact of failure is mitigated
experimenting
build confidence
capacity to withstand turbulent conditions
4

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Making compliance easier to manage using the cloud 4

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Making compliance easier to manage using the cloud 4

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High frequency is a continuous transformation culture
Train team
on cloud
Build/buy
toolset
Shorten
approval cycle
START END START ENDSTART END

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High frequency is a continuous transformation culture
Train team
on cloud
Build/buy
toolset
Shorten
approval cycle
START END START ENDSTART END
High-Frequency
continuous learning
Refactor & simplify
systems
Cycle times
trend to zero

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“continuously build the future”

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Transformation Day topics
Culture &
organizational change
Industry trends
& solutions
Migration &
enterprise workloads
Security & complianceCloud
economics
Digital innovation
& business transformation
Leveraging AI
& big data

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T A I P E I
2019
ThankYou.
Philip Potloff
potloff@amazon.com
linkedin.com/in/philippotloff
Send me a request on LinkedIn to receive a copy of this presentation

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