The document discusses the future of enterprise IT and cloud computing. It notes that IT organizations are moving away from traditional monolithic applications towards microservices, containers, serverless computing, and machine learning. Companies are adopting a more product-centric model where small cross-functional teams focus on individual products and services. It also discusses how companies can build security into their processes from the start and train their workforce on cloud technologies.

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The Future of Enterprise IT
Sandy Carter
VP, EC2 Windows, Enterprise Workloads
@Sandy_Carter
Bridget Frey
CTO of Redfin
@SVBridget
E N T 2 2 0 - L

3. Things change.

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Source: Gartner

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• Product
• Operational Excellence
• Client Experience
• Business Model
Source: Crowd Companies

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CIO

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11. Source: Extreme Innovation
Image Source: PinterestFails.com

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TWO PIZZA TEAMS
Decompose to
primitive problems
Single-threaded focus
Small “two pizza teams”
Enables self-directed teams
Fosters ownership & autonomy

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16

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17

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Developers Monolithic application Delivery pipeline

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Developers Microservices Delivery pipeline

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Modernize monolithic .NET
on-premises application as
business expanded from
private practices to large
hospital systems
Break monolithic application
into microservices
Containerize microservices,
expand, and scale on cloud

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Product Organization
Best with
formal
Product
management
roles for
different
stimuli
Disciplined
to drive
deliveries
Customer
experience
shapes and
extend
developments
Stakeholders
aligned
around a
vision for
capturing
market
opportunity
Decisions
aligned to
strategic
priorities
Pillar 1
Instinct
focused
Pillar 2
Requirements
focused
Pillar 3
Customer-
Experience
focused
Pillar 4
Market
focused
Pillar 5
Strategy
focused



ExecutionStructured Collaboration TransformationGrowth
Source: Gartner. Strengthen Five Key Pillars of Product Management to Scale for Digital Business Success. April, 2018.

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30. 85% of global IT and business leaders
surveyed have adopted, or plan to
adopt, a product-centric model

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Built and launched their Home Delivery platform in less than
4 months using a microservices architecture, scaling to
20,000 orders per second using a product-centric approach.

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KPI
Types churn conversion
Phase 1:
Cloud awareness
and essentials training
for a very broad range
of employees
Phase 2:
Role-based foundational
training for technical
employees and key lines
of business
Phase 3:
Associate certification
for select technical staff
with relevant experience
Phase 4:
Advanced and specialty
training for technical
staff as required
Phase 5:
Professional certification
for select technical staff
with relevant experience
~Months 1–3 ~Months 3–6 ~Months 6–9 ~Months 9–12 ~Months 12+

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Innovate faster in a
competitive environment
1 year education campaign
Awareness training for
1,400 people
Deep technical training
for 25 people
Increased production
applications
Faster innovation
Modern IT career
paths created

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Serverless

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AWS Step Functions
Start
Step 1
Step 2
Optional
Step
End
Step 3
AWS Lambda
AWS Lambda
AWS Lambda

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• Containerized Mobile Verify application, with
Windows containers
• Used AI/ML to develop advanced capabilities for
customer verification
• Reduced deployment time from hours to minutes

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CNCF Survey: https://www.cncf.io/blog/2018/08/29/cncf-survey-use-of-cloud-native-technologies-in-production-has-grown-over-200-percent/
63%
51%Amazon
ECS and EKS

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By 2020, 40% of all
new application
development will
have Artificial
Intelligence
co-developers on
their teams.

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Security Working Group Every engineer owns security
Build it in Use the Cloud
Dev Build Test Deploy

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+

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Migrate to Cloud
On Demand: Monitoring
and Stabilizing
Early
modernization
Reserved: Optimization
Full Modernization
60%
savings over 1 year on
AWS vs. on-premises
72%
savings over 3 years on
AWS vs. on-premises
Disclaimer: Cost and savings projections based on migrating 700 32 bit servers at the time of calculations.
Use savings to propel innovation
1 year 3 yearsTimeline
CostandRisk
On-premises
In AWS
Migration

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AI & Alexa

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Working backwards:
• Proactively understand customers
• Encode observations
• Test the outcomes
19M customers using our site/apps
78k restaurant partners using our systems

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Research team with Sales
UX labs with Marketing
Hackathons
Venture programs
Internal betas
Partnerships with CDO
Sharing: tech.just-eat.com

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61. Things change.

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A Technology-Powered Real Estate Broker

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Security Working Group Every engineer owns security
Build it in Use the Cloud
Dev Build Test Deploy

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75. A lily pad doubles
in size every day
If on the 60th day the
pond is filled with lily pads,
on what day is the pond only
half covered?

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78. Don’t overanalyze it.
Just get going.
SandyCT@amazon.com

79. Thank you!
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