From 90 Days to
<15 Minutes
How TnY Systems architected a Real-Time Streaming Pipeline to disrupt music royalty payouts for 25,000+ artists, enabling a market-first "Daily Pay" model.
Latency
99.9%
Reduction (<15 Mins)
Throughput
100M+
Daily Stream Events
Product
Daily Pay
Live for 25k+ Artists
The Legacy Trap
The Friction of Batch Processing
The client's ecosystem relied on fragmented API pulls from Spotify and Apple Music, processed in monthly batches. This "Legacy Wagon" approach created opaque reporting, leaving artists blind to their earnings for 90 days.
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90-Day Reporting Lag
Stale financial data prevented agile decision-making and frustrated artists.
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Data Fragmentation & Opacity
No single source of truth across DSPs, hiding granular song-level performance metrics.
The Innovation
Cloud-Native Streaming Engine
We engineered a Dual Lambda Architecture on AWS. By decoupling ingestion (Amazon MSK) from processing (AWS Glue/Spark), we achieved sub-second latency while maintaining audit-grade accuracy.
Ingestion: Amazon MSK (Kafka)
High-throughput buffer seamlessly handling millions of stream events per second directly from DSP APIs.
Processing: AWS Glue (Spark)
Real-time currency normalization (EUR/USD) and execution of complex smart contract royalty splits.
Hybrid Storage Strategy
Hot Store (RDS): Instant dashboard access.
Cold Store (S3 Parquet): Long-term audit & compliance via Athena.
Business Impact
Turning Technical Excellence into Financial Results
Market Leadership
Client became the first aggregator to offer "Daily Advances," capturing significant market share from legacy competitors.
Data Transparency
Artists moved from opaque PDF statements to a live, interactive dashboard showing granular song-level earnings.
Scalability
Architecture successfully stress-tested at 100M+ events/day with zero downtime during peak release windows.
Financial Accuracy
Replaced manual spreadsheet reconciliation with automated logic, completely eliminating critical payout calculation errors.
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