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iGaming platform - Coggle Diagram
iGaming platform
Payment Integration
✅ Expected to Know
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Risk mitigation: fraud detection, AML, KYC
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Secure, auditable, and PCI-DSS-compliant architecture
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✅ Best Practices
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Use state machines to model payment flow (INITIATED, PENDING, SUCCESS, FAILED)
✅ Tools/Examples
PSPs: Adyen, Nuvei, Worldpay, Stripe
KYC/AML: Sumsub, Onfido, ComplyAdvantage
Security: Vault (HashiCorp), AWS KMS, 3DS2 integration, PCI-DSS scopes
Session Handling
✅ Expected to Know
Maintain real-time, scalable, secure sessions for thousands of concurrent players
Associate state and context (balance, game, device, geo)
✅ Patterns
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JWT for auth, combined with server-side session tracking for state
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✅ Best Practices
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Use stateless services, cache critical session data in memory with fallback to Redis
Store device fingerprint, user IP, geo, and browser data for risk profiling
Tie sessions to game instances, payment authorization, and fraud engines
✅ Tools/Examples
Session Store: Redis (AWS ElastiCache), DynamoDB (with TTL)
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Game Engines
✅ Expected to Know
Orchestrate games from multiple providers (slots, live casino, sports betting)
Interface standardization for game start/end, outcomes, bets, and reconciliation
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✅ Tools/Examples
Vendors: Pragmatic Play, Evolution Gaming, NetEnt, EveryMatrix
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Player Data Models
✅ Expected to Know
Model player identity, segmentation, preferences, risk score, balance, and lifecycle
Ensure compliance with GDPR, RG (responsible gaming), and auditability
✅ Patterns
Event Sourcing or Audit Trail for key player actions (logins, deposits, exclusions)
Profile Aggregation Layer: pull profile, history, preferences in one call
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✅ Tools/Examples
Database: PostgreSQL (accounts), DynamoDB (sessions, preferences), Redshift (reporting)
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Data Privacy: HashiCorp Vault, DataDog Sensitive Data Scanner, GDPR audit logs