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Hello ,[object Object]
Single ops, single dev ,[object Object],[object Object]
 
JAVA + ORACLE
Deployment: 4 teams
Load testing: 3 teams
Support: 3 teams
Server Development: 1 team!  
System mostly “worked”
Problems?
Scalability
Barriers to change
Complexity
 
 
Rewrite
AWS
AWS ,[object Object]
Rewrite
Rewrite ,[object Object]
AlexDB – K-V Store
EBS and S3 for writelogs
Fast resource serving (via S3 and haystacks)
Telemetry events in SQS
Ruby
Business logic
Webapp framework
and S3
Infrastructure
Provisioning
Deployment
Deployment ,[object Object],[object Object]
[object Object],[object Object],BUILD + DEPLOY $ ./build.sh $ switch_env production $ ./deploy 1234 BUILD + DEPLOY $ ./build.sh $ switch_env production $ ./deploy 1234
Configuration management
Non-blocking architecture
Simple RPC-like protocol
What did we learn/discover?
Large env – one small team
Deploy / Load testing Support / Development
On demand testing envs
On demand testing envs ,[object Object]
Load testing is hard
Tools/code reuse
Tools/code reuse ,[object Object]
6 Million levels (and rising...)
Concurrent players (max) 20k / 30k / 80k all time peak
1Tb data transfer per day
3 billion k/v pairs stored
3000 req/second (all-time peak: 20krps)
Focused
Communications
Thanks
 

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Customer Presentaion-LittleBigPlanet: Taking an Idea to Market Using AWS

Editor's Notes

  1. 2008ish
  2. SONY MIDDLEWEAR
  3. Teams – development (ci), production support (make deploy), ops (deploy), project management
  4. Process with many steps
  5. Process with many steps
  6. Process with many steps
  7. Worked at the start, worked well with some performance and bugfixes
  8. System not designed for us, complexity added while making it fit our needs
  9. Existing tools weren’t designed to solve our problems.
  10. Programmable API. Free from resource constraints, utility billing great, S3 great – http endpoint.
  11. Programmable API. Free from resource constraints, utility billing great, S3 great – http endpoint.
  12. To his eternal shame
  13. Less overhead in connections, 80k threads on one connection, minimal context switching, less memory use
  14. Multiple connections share same RPC socket, ruby + cpp both speak same protocol
  15. ~50 instances
  16. In our case, hard to model users, don’t know if instances are all the same, contention