About the Event Launching a successful startup takes more than building on the most flexible, reliable, and scalable infrastructure available today. Startup Day is an opportunity to hear from successful startups about how they've tackled the unique technical challenges in their industry. It's also an opportunity to meet other startup leaders in your community to share ideas, help each other grow, and inspire each other while tackling problems that affect your organization. Who Should Attend? This event is built for early stage (pre-seed & bootstrapped) technical leads and entrepreneurs. Attendees will learn from a technical perspective what did and didn't work well from other startups across a diverse range of industries. Hear what funded and late stage startups wish they knew before they began building. Learn how companies are leveraging SageMaker for optimizing Machine Learning training and deployment, deploying ECS for container orchestration, and using Lambda to build companies that are entirely serverless.

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Mackenzie Kosut
Global Startup Evangelist
@mkosut

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Scaled the site to 20B+
page views a month.
Managed multiple
engineering teams. Largest
independent robo-advisor.
Founding engineer, helped
build entire insurance
company on AWS in 3
months.

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Largest Number of Startups

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Cloudfront Lambda ECS Poly,
Rekognition,
Lex
RDS Route53 Elastic
Beanstalk
AWS Data
Pipeline
Kinesis
Startups Have Evolved
516
24 48
6
1
82
159
280
722
1,017
LAUNCHES
2 0 0 8 2 0 0 9 2 0 1 0 2 0 1 1 2 0 1 2 2 0 1 3 2 0 1 4 2 0 1 5 2 0 1 6
1,400+
2 0 1 7
P A C E O F
I N N O V A T I O N
New capabilities daily
SageMaker,
Comprehend,
Fargate

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Cloudfront Lambda ECS Poly,
Rekognition,
Lex
RDS Route53 Elastic
Beanstalk
AWS Data
Pipeline
Kinesis
Startups Have Evolved
516
24 48
6
1
82
159
280
722
1,017
LAUNCHES
2 0 0 8 2 0 0 9 2 0 1 0 2 0 1 1 2 0 1 2 2 0 1 3 2 0 1 4 2 0 1 5 2 0 1 6
1,400+
2 0 1 7
P A C E O F
I N N O V A T I O N
New capabilities daily
SageMaker,
Comprehend,
Fargate

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Real-time delivery of in-game
data, handling 45 billion
events per day.
Kinesis

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Cloudfront Lambda ECS Poly,
Rekognition,
Lex
RDS Route53 Elastic
Beanstalk
AWS Data
Pipeline
Kinesis
Startups Have Evolved
516
24 48
6
1
82
159
280
722
1,017
LAUNCHES
2 0 0 8 2 0 0 9 2 0 1 0 2 0 1 1 2 0 1 2 2 0 1 3 2 0 1 4 2 0 1 5 2 0 1 6
1,400+
2 0 1 7
P A C E O F
I N N O V A T I O N
New capabilities daily
SageMaker,
Comprehend,
Fargate

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25,000 Tasks, 382 Services
160B+ Events a Month
Elastic Container Service

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“The reality, of course, today is that if
you come up with a great idea you don't
get to go quickly to a successful product.
There's a lot of undifferentiated heavy
lifting that stands between your idea and
that success."
-Jeff Bezos

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Founders who struggle to fundraise make the same
mistakes.
40% more of them botched their go-to-market strategy
40% more let their burn rate get too high.
http://stateofstartups.firstround.com/2017

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People
Infrastructure
Marketing
Vendors
Office

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People
Infrastructure
Marketing
Vendors
Office

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2005
$5,000,000
Team of Engineers
Months of development
2018
$5,000
An Engineer
Weeks of development
Launching an Idea

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Startup A
2010 AWS
Startup B
2018 AWS
A Tale Of Two Startups

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MVP

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2010 Startup: Day One
1. Focused on releasing a MVP
2. Manual provisioning of servers
3. Manual deploy process
4. Limited monitoring
5. Averaging a deploy 1-2x a week
6. Dev on-boarding: 10-14 days
Startup A
2010 AWS
Idea / Early Stage

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2010 Startup: Year One
1. Focused on productivity
2. IaC, Automation, Scalability
3. Deployment Pipelines
4. Improved Monitoring
5. Averaging a deploy: 2-3x a day
6. Engineering onboarding: 7 days
Startup A
2010 AWS
Stabilization Stage

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2010 Startup: Year Two
1. Focused on growth
2. Systems automated, auto scaling
3. Automated deploy processes
4. In-depth monitoring and alerting
5. Averaging a deploy: 15+ a day
6. Engineering onboarding: 1-3 Days
Startup A
2010 AWS
Growth

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Goal of Engineering Productivity
Engineers Deploys a Day Onboarding Time

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We’ve been working closely
with startups and enterprises
for 11 years.

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Startup B
2018 AWS

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2018 Startup: Day One
1. Focused on product and growth
2. Systems automated, auto scaling
3. Automated deploy processes
4. In-depth monitoring and alerting
5. Engineering onboarding: 1-3 Day
Startup B
2018 AWS

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Startups are able to build
quicker, faster, cheaper, and
more reliably today than ever
before.

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Agenda
10:30–11:15 Bustle
Assimilating the Media Industry Serverlessly
11:15-12:00 HAAS Alert
Using AWS To Support Real Time C2X
12:00-1:00 Lunch
1:00-1:45 Uptake
Data Engineering The Startup Way
1:45-2:30 Tempus
Building for Compliance & Regulation
2:30-2:45 Break
2:45-3:30 Enova
Automated Retraining in SageMaker
3:30 Networking / Happy Hour

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sli.do/startupday

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https://aws.amazon.com/activate
$1,000 AWS Promotional Credit, valid up to 2 years
AWS Business Essentials Online Training ($600 value)
AWS Technical Essentials Online Training ($600 value)
80 credits for self-paced labs ($80 value)
Activate Builders

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AWS Startup Blog

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AWS San Francisco Summit

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If you don’t take care of your
customers, you'll have innovated
for nothing.

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Thank You
Mackenzie Kosut
@mkosut