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Amazon Web Services
클라우드를 사용한 게임 성공 사례!
!
Younjin Jeong
Solutions Architect
Mobile Game Trend
Trends

Implications

Free to play

변동성 심한 수요 대응 필요!

!

!

In app purchases

수익화 모델 중요


!

Cross platform

다양한 디바이스 지원!

!

!

Go Global

글로벌 진출 위험 최소화


!

User retention = Revenue

유저 행태 분석 필요!

!

!

Short Life Cycle

실패에 대한 리스크 최소화
Success!
$3 billion company, 	

$2.4 million per day
Gaming on AWS
general success graph
Growth

Time
Before

After

Growth

Time
Before

After

Fail fast, fail cheap

Scalability

Time to market

Extend life cycle

Uncertainty and risk mgmt

Growth

Go global

Time
Before cloud,

Traditional infrastructure
Traditional infrastructure
space for rack
power source
peering, bandwidth
server engineering
storage
operating systems
maintenance
!
COMSUMES
!
TIME + MONEY
On a global footprint
Regions
Edge Locations
London(2)
Seattle

South Bend

New York (2)
Newark

Dublin

Amsterdam
Stockholm

Palo Alto
Tokyo

Warshaw

Seoul

San Jose

Frankfurt(2)
Paris(2)
MarseilleMilan
Ashburn(2)

Los Angeles (2)

Osaka
Manila

Jacksonville

Hong Kong

Dallas(2)
St.Louis
Miami

Singapore(2)

Sao Paulo

Sydney
And,
Coming soon! AWS China Region
Growth

1

Fail fast, fail cheap
Time to market

Uncertainty and risk mgmt

Scalability

Extend life cycle

Go global

Time
1

Fail fast, Fail cheap

10 social games in 18 months
http://aws.amazon.com/solutions/case-studies/ubisoft/
Growth

Fail fast, fail cheap

2

Time to market
Uncertainty and risk mgmt

Scalability

Extend life cycle

Go global

Time
2

Time to Market

http://aws.amazon.com/solutions/case-studies/supercell/
Growth

Fail fast, fail cheap

Time to market

3

Scalability

Extend life cycle

Uncertainty 

and Risk Management

Go global

Time
3

Uncertainty and Risk Management

http://www.slideshare.net/AmazonWebServices/mbl304
Growth

Fail fast, fail cheap

Time to market

Uncertainty 

and Risk Management

4

Scalability
Extend life cycle

Go global

Time
4

Scalability

http://aws.amazon.com/solutions/case-studies/rovio/
http://www.slideshare.net/aoemedia/angrybirds-magento-cloud-deployment
4

Scalability

250 Instances

Auto Scaling Background
•평균 CPU 사용량에 따라 Instance의 개수 변경
•주로 저녁 시간 대에 User가 몰리고, 

새벽 시간 대에는 감소

!
50 Instances

Action

•유저가 없는 새벽 시간 대에는 50대, 

Peak 시간 대에는 250 대로 유연하게 운영
!

Benefits
# instances vs. CPU utilization

•기존 대비 비용 절감
Growth

Fail fast, fail cheap

Time to market

Uncertainty 

and Risk Management

Scalability

5

Extend life cycle
Go global

Time
5

Extend life cycle
5

Extend life cycle
Growth

Fail fast, fail cheap

Scalability

Time to market

Uncertainty 

and Risk Management

Extend life cycle

6

Go global

Time
6

Go global

http://www.slideshare.net/AmazonWebServices/halfbrick-keynote
6

Go global
MMORPG,
FPS?
http://www.cmune.com/2010/12/12/amazon-case-study-on-uberstrike-for-real-time-cloud-gaming/
http://www.slideshare.net/AmazonWebServices/gmg203lessons-learned-meteor2012final
http://aws.amazon.com/solutions/case-studies/naughty-dog/
aws.amazon.com

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