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Cloud Based Game Development
David Pippenger, Director DevOps, GREE
NET308
How GREE Launched New Games Faster and
More Securely with AWS Marketplace and
Amazon VPC
Company Overview
GREE International
Entertainment, Inc.
San Francisco, CA
~200 People, 2011
GREE Inc.
Tokyo, Japan
~2000 People, 2004
Started using AWS 2012
Evolved toward
immutable infrastructure
to run games
Now continuing to
evolve toward
decentralized model
Business Model: Publishing Engine
Buy a studio,
operate it as a
programming
division
First Party
Commission a
game to GREE’s
specifications, pay
development costs
Second Party
Buy an existing
game
Third Party
Game Publishing Engine
Marketing Analytics LiveOps
in-game
sales events
TechOps
AWS Infrastructure
Games have a lifecycle. Nothing lasts forever.
New
Game
Creation
Long tail games with loyal users
BUY GAME SELL GAME
TOP 10
REVENUE
GAMES
Gree started in
colos until the
Funzio acquistion
in 2012
Funzio was a
small mobile
gaming company
with 3 successful
games
Dedicated jobs and cron hosts
Deploying tarballs
Hadoop
EC2 Based Relays
EC2 Based Vertica
Management
Amazon EC2 memcache clusters
EC2 MySQL
EC2 Zeus load balancers
Provisioning hosts using Runbooks
Amazon ElastiCache
Amazon RDS
Elastic Load Balancing
Puppet
Jenkins for code deployments
Deploying packages (RPM, Docker)
Amazon Elastic Map Reduce (EMR)
Amazon Kinesis
Amazon Redshift
AWS
SSH Jump hosts and OpenSwan
Networking
ELK logging on EC2
Nagios on EC2
SumoLogic
DataDog
SaaS
Technical
Stack
EC2 AutoscalingCloudformation S3 ELB
Kinesis RDS Elasticache DynamoDB
1 Leverage SaaS
2 Avoid building things you can buy
3 Infrastructure as code
1 Leverage AWS services
2 Automate everything
3 Immutable infrastucture
4 Servers are cattle not pets
DevOps
Principles
GAME STACK
DevOps at GREE – Architecture High Level Design
Amazon
S3
Amazon
Route 53
AWS
Directory
Service
AWS
Code
Commit
Active
Directory
GitHub
Enterprise
AWS
VPC
DevOps at GREE – Architecture Low Level Design
Service 1 Service 2Amazon
DynamoDB
ILB
ELB
GAME
Puppet
Jenkins
Aviatrix
Gateway
Auto Scaling
Auto Scaling Auto Scaling
VPC
Secure Remote User Access
GREE AWS Account
Region 1 Region 2
IPSEC
Aviatrix
Gateway
Aviatrix
Gateway
AWSAWS
Dragon Soul AWS Account
VPC VPC
Remote Users
(dev, devops, admins)
SSL VPN
Patterns of Enterprise Application Architecture
inspired by Martin Fowler’s Books
Codebase
• One codebase tracked in
revision control, many deploys
• Use Git
I
Dependencies
• Explicitly declare and isolate
dependencies
• Use Puppet
II
Config
• Store config in the environment
• Use Puppet with Hieradata
III
Backing Services
• Treat backing services as
attached resources
• Use Puppet with Hieradata to
capture endpoints
IV
Build,
release, run
• Strictly separate build and run
stages
• Use Jenkins to produce
package artifacts
• Use Jenkins pipeline to
orchestrate deployment
V
Processes
• Execute the app as one or
more stateless processes
• Use ELB
• STONITH
• https://en.wikipedia.org/wiki/ST
ONITH
VI
Port Binding
• Export services via port binding
• Use ILB
VII
Concurrency
• Scale out via the process
model
• Use ELB
VIII
Disposability
• Maximize robustness with fast
startup and graceful shutdown
• Use Auto Scaling
• Use custom AMIs
• Use ElastiCache or DynamoDB
• STONITH
IX
Dev/Prod
Parity
• Keep development, staging
and production as
similar as possible
• Use AWS CloudFormation
• Use Puppet
• Use Docker
X
Logs
• Treat logs as event streams
• Use Sumo logic
XI
Admin Processes
• Run admin/management tasks
as one-off processes
• Use Jenkins
XII
14 DevOps engineers
Takeaways
Hundreds of monitoring pages
6
10
VPC History at GREE
VPC I
• AWS Classic
• EU-west-1 VPC only
• 6 week deadline,
things were rushed
• Poor choices and
bad shortcuts
VPC II
• Second attempt at
VPC: hire an expert
• Company mandate to
move from AWS Classic
to VPC
• 6 months of design, lots
of over engineering
VPC III
• Initial setup is less
than an hour
• Clean and simple
model
Demo video: Bringing a cloud controller online
Aviatrix - New VPC with AGW
GREE purchased the
DragonSoul game from PerBlue
During the due diligence phase,
Aviatrix was used to link
GREE to the VPC
Use Case
W1 W2 W3 W4 W10
RDS
Aviatrix
Gateway
World
Game
Backend
Systems
Game
Admin
VPC
Payment ADS
Original Deployment
Dragon Soul Deployment 1
Region 1 Region 2
IPSEC
Cross Account / Region Peering
Aviatrix Gateway Aviatrix Gateway
AWSAWS
Dragon Soul Deployment 2
VPC VPC
W11
Wn
RDS
11
ELB11
Aviatrix
Gateway
VPC ELB12 ELBn
W12
Auto Scaling
Group
Auto Scaling
Group
Auto Scaling
Group
RDS
12
RDS
n
Second Deployment
Challenges
Single points of failure
RDS db.r3.8xlarge at capacity
World servers are stateful and unwinding the Java ORM
will take time.
Goals
Grow the game fast: double the
number of players
Don’t rock the boat: maintain continuity in existing
game service
In Summary:
DevOps is not just technology, it’s people
using technology.
Docker is great
but it has some
sharp edges
Games have a
lifecycle,
nothing lasts
forever
CloudFormation
is great but it
is hard to get
started
Use dedicated
AWS sub-
accounts
Use Aviatrix
cloud
networking
People leave,
institutional
knowledge is lost,
so capture
everything in
automation
People take
shortcuts, magic
happens, so
enforce
automation
Thank you!

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AWS re:Invent 2016: How Gree Launched New Games Faster and More Securely with AWS Marketplace and Amazon VPC (NET308)

  • 1. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Cloud Based Game Development David Pippenger, Director DevOps, GREE NET308 How GREE Launched New Games Faster and More Securely with AWS Marketplace and Amazon VPC
  • 2. Company Overview GREE International Entertainment, Inc. San Francisco, CA ~200 People, 2011 GREE Inc. Tokyo, Japan ~2000 People, 2004 Started using AWS 2012 Evolved toward immutable infrastructure to run games Now continuing to evolve toward decentralized model
  • 3. Business Model: Publishing Engine Buy a studio, operate it as a programming division First Party Commission a game to GREE’s specifications, pay development costs Second Party Buy an existing game Third Party
  • 4. Game Publishing Engine Marketing Analytics LiveOps in-game sales events TechOps AWS Infrastructure
  • 5. Games have a lifecycle. Nothing lasts forever. New Game Creation Long tail games with loyal users BUY GAME SELL GAME TOP 10 REVENUE GAMES
  • 6. Gree started in colos until the Funzio acquistion in 2012 Funzio was a small mobile gaming company with 3 successful games
  • 7. Dedicated jobs and cron hosts Deploying tarballs Hadoop EC2 Based Relays EC2 Based Vertica Management Amazon EC2 memcache clusters EC2 MySQL EC2 Zeus load balancers Provisioning hosts using Runbooks Amazon ElastiCache Amazon RDS Elastic Load Balancing Puppet Jenkins for code deployments Deploying packages (RPM, Docker) Amazon Elastic Map Reduce (EMR) Amazon Kinesis Amazon Redshift AWS
  • 8. SSH Jump hosts and OpenSwan Networking ELK logging on EC2 Nagios on EC2 SumoLogic DataDog SaaS
  • 9. Technical Stack EC2 AutoscalingCloudformation S3 ELB Kinesis RDS Elasticache DynamoDB
  • 10. 1 Leverage SaaS 2 Avoid building things you can buy 3 Infrastructure as code 1 Leverage AWS services 2 Automate everything 3 Immutable infrastucture 4 Servers are cattle not pets DevOps Principles
  • 11. GAME STACK DevOps at GREE – Architecture High Level Design Amazon S3 Amazon Route 53 AWS Directory Service AWS Code Commit Active Directory GitHub Enterprise AWS VPC
  • 12. DevOps at GREE – Architecture Low Level Design Service 1 Service 2Amazon DynamoDB ILB ELB GAME Puppet Jenkins Aviatrix Gateway Auto Scaling Auto Scaling Auto Scaling VPC
  • 13. Secure Remote User Access GREE AWS Account Region 1 Region 2 IPSEC Aviatrix Gateway Aviatrix Gateway AWSAWS Dragon Soul AWS Account VPC VPC Remote Users (dev, devops, admins) SSL VPN
  • 14. Patterns of Enterprise Application Architecture inspired by Martin Fowler’s Books
  • 15. Codebase • One codebase tracked in revision control, many deploys • Use Git I
  • 16. Dependencies • Explicitly declare and isolate dependencies • Use Puppet II
  • 17. Config • Store config in the environment • Use Puppet with Hieradata III
  • 18. Backing Services • Treat backing services as attached resources • Use Puppet with Hieradata to capture endpoints IV
  • 19. Build, release, run • Strictly separate build and run stages • Use Jenkins to produce package artifacts • Use Jenkins pipeline to orchestrate deployment V
  • 20. Processes • Execute the app as one or more stateless processes • Use ELB • STONITH • https://en.wikipedia.org/wiki/ST ONITH VI
  • 21. Port Binding • Export services via port binding • Use ILB VII
  • 22. Concurrency • Scale out via the process model • Use ELB VIII
  • 23. Disposability • Maximize robustness with fast startup and graceful shutdown • Use Auto Scaling • Use custom AMIs • Use ElastiCache or DynamoDB • STONITH IX
  • 24. Dev/Prod Parity • Keep development, staging and production as similar as possible • Use AWS CloudFormation • Use Puppet • Use Docker X
  • 25. Logs • Treat logs as event streams • Use Sumo logic XI
  • 26. Admin Processes • Run admin/management tasks as one-off processes • Use Jenkins XII
  • 27. 14 DevOps engineers Takeaways Hundreds of monitoring pages 6 10
  • 28. VPC History at GREE VPC I • AWS Classic • EU-west-1 VPC only • 6 week deadline, things were rushed • Poor choices and bad shortcuts VPC II • Second attempt at VPC: hire an expert • Company mandate to move from AWS Classic to VPC • 6 months of design, lots of over engineering VPC III • Initial setup is less than an hour • Clean and simple model
  • 29. Demo video: Bringing a cloud controller online
  • 30. Aviatrix - New VPC with AGW
  • 31. GREE purchased the DragonSoul game from PerBlue During the due diligence phase, Aviatrix was used to link GREE to the VPC Use Case
  • 32.
  • 33. W1 W2 W3 W4 W10 RDS Aviatrix Gateway World Game Backend Systems Game Admin VPC Payment ADS Original Deployment
  • 34. Dragon Soul Deployment 1 Region 1 Region 2 IPSEC Cross Account / Region Peering Aviatrix Gateway Aviatrix Gateway AWSAWS Dragon Soul Deployment 2 VPC VPC
  • 35. W11 Wn RDS 11 ELB11 Aviatrix Gateway VPC ELB12 ELBn W12 Auto Scaling Group Auto Scaling Group Auto Scaling Group RDS 12 RDS n Second Deployment
  • 36. Challenges Single points of failure RDS db.r3.8xlarge at capacity World servers are stateful and unwinding the Java ORM will take time. Goals Grow the game fast: double the number of players Don’t rock the boat: maintain continuity in existing game service
  • 37. In Summary: DevOps is not just technology, it’s people using technology. Docker is great but it has some sharp edges Games have a lifecycle, nothing lasts forever CloudFormation is great but it is hard to get started Use dedicated AWS sub- accounts Use Aviatrix cloud networking People leave, institutional knowledge is lost, so capture everything in automation People take shortcuts, magic happens, so enforce automation