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Gamesys graph-connect-london
- 1. Graph Infection @ Gamesys § Toby O’Rourke November 2013
- 2. Overview • About Gamesys • First exposure • A quick game of spot the difference • The infection spreads • It’s an epidemic! November 2013
- 3. About Gamesys • Major Cash & Social Gaming operator, primarily in UK & Europe • World’s first Cash gaming on Facebook • Social Games include Jackpotjoy Slots & Here Be Monsters • Bingo, Slots, Casino, Instants • Handle ~5bn wagers per annum • 200k unique cash players a month November 2013
- 4. First Exposure “This is all about connected data, what can we find to help with that?” - Toby O’Rourke, Technical Architect, Gamesys November 2013
- 5. Building an Internal Social Network • Online Bingo is a highly social game, there is chat alongside the game • Acquiring new players can be very expensive • Players acquired by referral are cheaper to acquire and higher value • We want to incentivise members to refer their friends • We wanted to learn about the social relationships between players November 2013
- 6. Neo4j in 2011 • Cypher was brand new and experimental • Read only • Gremlin was the preferred query language • Spring Data Neo4j was at 1.x • Heavy use of AspectJ • Difficult to use in IDEs • HA used Zookeeper November 2013
- 7. What we did • Embedded database in the app • spring-data-neo4j as API to db • Domain Objects have SDN annotations • That’s more than OK, it’s good. Connectedness is part of the domain • Had to drop back to straight Java API using Neo4jTemplate in a few places November 2013
- 9. Looking at our Graph November 2013
- 10. Aside: Refer a Friend in Cash Gaming • Referee gets a cash bonus straight away • Constrained by a “play through” requirement • Referrer gets a cash bonus once the Referee has played a certain amount • Typically, the cash bonus for the referrer is greater than the minimum deposit requirement for the referee November 2013
- 11. A Quick Game of Spot the Difference November 2013
- 12. November 2013
- 13. November 2013
- 14. The Infection Spreads “Hey, Who is the Neo4j expert in the building? Our guys want to use it” - Tom Newton, Director of Social Gaming, Gamesys November 2013
- 15. Challenges making a MMORPG playable • Here Be Monsters (https://apps.facebook.com/herebemonsters/) • Complex economy, 1000’s items, monsters, locations and traps • What if the items needed for an early quest are opposite ends of the world? • What if a basic game commodity is too scarce? • How do we test this beast? November 2013
- 16. Enter Neo4j • Put every item, location, monster, trap and quest in to the graph November 2013
- 17. November 2013
- 18. Enter Neo4j • Put every item, location, monster, trap and quest in to the graph • Brew some secret sauce to define “poor gaming experience” • Analyse graph to match poor experiences • Focus play testing effort on potentially problematic areas • More certainty over behaviour of a complex universe • Fun! November 2013
- 19. November 2013
- 20. November 2013
- 21. Results • Completed a major refactor of the game economy • KPIs are up • More players, more activity • Time to market was reduced • Repeatable process November 2013
- 22. It’s an Epidemic! “I hear you have already been doing this so would be keen to start getting to grips with Cypher and exploring the data” - Guy Dawson, BI Analyst, Gamesys November 2013
- 23. Find out more on LinkedIn linkedin.com/company/gamesys on Twitter @officialgamesys @tobyorourke @theburningmonk November 2013