Distributed Computing challenges in the gaming & betting industry
summary
An introduction to the gaming and betting domain’s technical challenges—high concurrency (10M+ active bets at peak) and combined finance/gaming requirements—and concrete approaches to address them. Covers use of the actor model, scalable messaging patterns, and different storage architecture trade-offs for distributed systems in this industry.
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chapters (16)
- 0:00Start
- 3:01Example: Tennis
- 4:41View of the data
- 7:06Choose Responsive to provide entertainment
- 7:54Resilience to build trust
- 10:11Composing Feeds
- 11:45Betting Engine
- 16:00Outcome
- 17:21Key realization
- 17:39Next Iteration
- 18:56Personalization
- 19:21Omnia Platform (Lambda Architecture)
- 20:10Enterprise Challenge (not a solution challenge)
- 21:18Provide a foundation and patterns
- 22:38Key considerations going forward
- 27:23Summary & Q&A
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