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● Jelly Button Games - Introduction
● Pirate Kings - Growth Challenges
● Redis Use Cases
● Summary
Spin the wheel to earn cash
and build your island. Attack
and steal from your friends,
But beware they can take
revenge!
Pirate Kings
● Soft launch in Israel and Sweden
● Featured in Google Play Asia
● Game grew virally from 100K to 3.5M in 3 months
● 2M Daily Active Users in 10 days
○ 1M requests per minute
● “Always online” players
● Social network with interactions
● Near real-time
○ No lazy dumps
Pirate Kings
- Our “Swiss Army Knife”
- Using ServiceStack’s Redis client
- Efficient
- Running on RedisLabs
● 100GB DB’s
● Clustered DB’s have 5 shards each (multi-AZ)
● At least 8 CPUs per instance
● Latency: 0.1 msec (avg)
● Network usage: 80k-90k packets/second
Redis
● Cache
● Leaderboard
● Persistent DB
● Pub/Sub
● Time Sync
● 13M keys
● 2,500 concurrent connections
● 20K ops/sec
● Average latency of 0.06ms
● A leaderboard is a SortedSet
● Global / Per Country Leaderboard
● Complexity: O(log(n))
● Logging malicious users’ IPs
(INC with TTL)
● Identifying social relations
(Set)
● Cash King super-fast calculation
(SortedSet)
● Beware: Unbounded growth
● Instant player updates
● Configuration changes
● Time syncing issue between
AWS servers
● Used Redis as “Central Time”
● Avoid using as a solution for
time sensitive features
● Jelly Button Games - Introduction
● Pirate Kings - Growth Challenges
● Redis Use Cases
Nir Shney-dor
nir@Jellybtn.com

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Redis : Database, cache, pub/sub and more at Jelly button games

  • 1.
  • 2. ● Jelly Button Games - Introduction ● Pirate Kings - Growth Challenges ● Redis Use Cases ● Summary
  • 3.
  • 4.
  • 5. Spin the wheel to earn cash and build your island. Attack and steal from your friends, But beware they can take revenge!
  • 6.
  • 8. ● Soft launch in Israel and Sweden ● Featured in Google Play Asia ● Game grew virally from 100K to 3.5M in 3 months ● 2M Daily Active Users in 10 days ○ 1M requests per minute
  • 9. ● “Always online” players ● Social network with interactions ● Near real-time ○ No lazy dumps
  • 11. - Our “Swiss Army Knife” - Using ServiceStack’s Redis client - Efficient - Running on RedisLabs
  • 12. ● 100GB DB’s ● Clustered DB’s have 5 shards each (multi-AZ) ● At least 8 CPUs per instance ● Latency: 0.1 msec (avg) ● Network usage: 80k-90k packets/second
  • 13. Redis
  • 14. ● Cache ● Leaderboard ● Persistent DB ● Pub/Sub ● Time Sync
  • 15. ● 13M keys ● 2,500 concurrent connections ● 20K ops/sec ● Average latency of 0.06ms
  • 16. ● A leaderboard is a SortedSet ● Global / Per Country Leaderboard ● Complexity: O(log(n))
  • 17. ● Logging malicious users’ IPs (INC with TTL) ● Identifying social relations (Set) ● Cash King super-fast calculation (SortedSet) ● Beware: Unbounded growth
  • 18. ● Instant player updates ● Configuration changes
  • 19. ● Time syncing issue between AWS servers ● Used Redis as “Central Time” ● Avoid using as a solution for time sensitive features
  • 20.
  • 21. ● Jelly Button Games - Introduction ● Pirate Kings - Growth Challenges ● Redis Use Cases