Connecting progressive jackpot games
Introduction
Progressive jackpots accumulate part of the bets of all players in a single pool, which grows until it is hit by a lucky participant. The integration of such games requires a separate betting module, atomic calculation of the next pool value, synchronization between providers and clear payment logic.
1. Progressive jackpot pool architecture
1. Jackpot Service
Separate microservice with REST/gRPC API:
Structure of table 'jackpot _ contributions':
Fixed interest rate (for example, 0. 5%) of each bet goes to the pool.
Support for multiple levels (local, shared, mega) with different percentages and trigger conditions.
2. Integration with game engines
1. Spin API Call
With each back, GameService does:
The provider generates a 'jackpotHit' event with data: '{playerId, jackpotId, sessionId}'.
TournamentService or BetService calls' POST/jackpot/{ id }/award'and conducts a payout transaction.
3. Atomic payout
Inside the Jackpot Service, the award transaction and the payout transaction in the Transaction Service are performed in the ACID transaction to eliminate double payouts.
3. Calculations and integrity control
Hourly reconciliation through batch-job: comparison of the amount of deposits and jackpot accruals in the 'contributions' and 'awards' tables.
Lock-in snapshot: at the time of winning, the pool is fixed in a separate'awardedAmount 'field so that the jackpot growth does not interfere with the calculations.
Error correction: manual rollback award transactions via admin UI, but only in audit mode.
4. Monitoring and alerts
Prometheus metrics:
processing delay> 500 ms,
batch-reconciliation discrepancy> 0. 1 %,
a sharp rise or fall in deposits.
5. Safety and compliance
HMAC signature of all requests to Jackpot Service, nonce and timestamp to protect against counterfeiting.
RBAC: only GameService and Admin UI have contribute/award rights, other roles are readonly 'GET/jackpot'.
Audit Trail: each write operation is logged to WORM storage S3, storage for at least 5 years according to regulations.
6. Scalability and fault tolerance
Stateless service: horizontal scaling of Jackpot Service by CPU/latency with Kubernetes HPA.
Redis Cluster Sentinel: cache of pools and locks per award, automatic failover.
Kafka Consumer Groups: parallel processing of deposit events with exactly-once guarantee through idempotency keys.
7. UI components and notifications
Frontend: dynamic mark of the current jackpot on the lobby and game page, updated via WebSocket channel '/ws/jackpot/{ id} '.
Push notifications: when the threshold is reached (for example, 80% of the current MaxValue), a Telegram bot or WebApp sends a message to players.
Animation FX: progress bar on the game page and lobby, visuals when triggered.
Conclusion
Integrating progressive jackpots into online casinos is a complex task, including a separate microservice for accumulating bets, atomic payout transactions, real-time UI updates, reliable monitoring and a scalable architecture. Proper implementation ensures the jackpot mechanics are honest, transparent and stable at peak loads.
Progressive jackpots accumulate part of the bets of all players in a single pool, which grows until it is hit by a lucky participant. The integration of such games requires a separate betting module, atomic calculation of the next pool value, synchronization between providers and clear payment logic.
1. Progressive jackpot pool architecture
1. Jackpot Service
Separate microservice with REST/gRPC API:
- 'GET/jackpot/{ id} '→ the current pool size and metadata.
- 'POST/jackpot/{ id }/contribute '→ acceptance of bet share.
- 'POST/jackpot/{ id }/award '→ pay the jackpot to the winner.
- Stores a collection of jackpots in the database (PostgreSQL) and cache in Redis for quick reading.
- 2. Betting pool
Structure of table 'jackpot _ contributions':
- ```sql
- [id, jackpot_id, game_id, amount, timestamp]
- ```
- Aggregates "feed" contributions in real time via Kafka topic'jackpot. events`.
- 3. Distribution parameters
Fixed interest rate (for example, 0. 5%) of each bet goes to the pool.
Support for multiple levels (local, shared, mega) with different percentages and trigger conditions.
2. Integration with game engines
1. Spin API Call
With each back, GameService does:
- ```http
- POST /jackpot/{jackpotId}/contribute
- { "gameId": "...", "amount": 2. 50 }
- ```
- The jackpot service confirms acceptance and returns the new pool size.
- 2. Winning event
The provider generates a 'jackpotHit' event with data: '{playerId, jackpotId, sessionId}'.
TournamentService or BetService calls' POST/jackpot/{ id }/award'and conducts a payout transaction.
3. Atomic payout
Inside the Jackpot Service, the award transaction and the payout transaction in the Transaction Service are performed in the ACID transaction to eliminate double payouts.
3. Calculations and integrity control
Hourly reconciliation through batch-job: comparison of the amount of deposits and jackpot accruals in the 'contributions' and 'awards' tables.
Lock-in snapshot: at the time of winning, the pool is fixed in a separate'awardedAmount 'field so that the jackpot growth does not interfere with the calculations.
Error correction: manual rollback award transactions via admin UI, but only in audit mode.
4. Monitoring and alerts
Prometheus metrics:
- `jackpot_contribute_total`, `jackpot_award_total`, `jackpot_current_value`.
- `jackpot_processing_latency` (p95).
- Dashboard Grafana: pool growth chart, firing rate, top 5 games by contribution.
- Alerting: alert when
processing delay> 500 ms,
batch-reconciliation discrepancy> 0. 1 %,
a sharp rise or fall in deposits.
5. Safety and compliance
HMAC signature of all requests to Jackpot Service, nonce and timestamp to protect against counterfeiting.
RBAC: only GameService and Admin UI have contribute/award rights, other roles are readonly 'GET/jackpot'.
Audit Trail: each write operation is logged to WORM storage S3, storage for at least 5 years according to regulations.
6. Scalability and fault tolerance
Stateless service: horizontal scaling of Jackpot Service by CPU/latency with Kubernetes HPA.
Redis Cluster Sentinel: cache of pools and locks per award, automatic failover.
Kafka Consumer Groups: parallel processing of deposit events with exactly-once guarantee through idempotency keys.
7. UI components and notifications
Frontend: dynamic mark of the current jackpot on the lobby and game page, updated via WebSocket channel '/ws/jackpot/{ id} '.
Push notifications: when the threshold is reached (for example, 80% of the current MaxValue), a Telegram bot or WebApp sends a message to players.
Animation FX: progress bar on the game page and lobby, visuals when triggered.
Conclusion
Integrating progressive jackpots into online casinos is a complex task, including a separate microservice for accumulating bets, atomic payout transactions, real-time UI updates, reliable monitoring and a scalable architecture. Proper implementation ensures the jackpot mechanics are honest, transparent and stable at peak loads.
