Real-Time Booking Engine | 50ms Reads Under Peak Concurrency
Client / Industry
Reservations / booking platform
🛑 The Business Challenge
The legacy reservation system suffered from severe database deadlocks and concurrency race conditions whenever traffic spiked — exactly the moments when the booking system most needed to stay reliable.
- Database deadlocks under high-traffic booking spikes
- Concurrency race conditions risking double-bookings or lost reservations
- Read-heavy traffic competing directly with write traffic on the same database
Solution: Re-Engineered for Concurrency
We re-engineered the backend on .NET 8 and ASP.NET Core, adding a caching layer to offload read traffic and tuning the database to eliminate contention at the source.
- Backend Re-Engineering: Rebuilt on .NET 8 and ASP.NET Core
- Redis Distributed Caching: Offloaded read-heavy traffic away from the primary database
- SQL Server Optimization: Targeted index refactoring based on real execution plans
- Concurrency Fixes: Eliminated the race conditions causing deadlocks during peak booking spikes
💻 Modern Technical Architecture
Backend: .NET 8 and ASP.NET Core
Caching: Redis Distributed Caching in front of read-heavy queries
Database: SQL Server with execution plans optimized via targeted index refactoring
Reliability: Concurrency handling rebuilt to eliminate deadlocks and race conditions under load
Technology
📋 Project Technical Summary
| SEO Category | Technology Implemented |
|---|---|
| Industry | Reservations / Booking Platform |
| Core Stack | .NET 8, ASP.NET Core, Redis, SQL Server |
| Key Fix | Eliminated database deadlocks and concurrency race conditions |
| Key Outcome | 50ms read latency under peak concurrency |
Result
Read latency dropped to 50ms even under peak concurrent traffic, with booking race conditions completely eliminated
🚀 Project Results & Impact
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50ms Reads: Read latency held at 50ms even under peak concurrent traffic
✅
Zero Race Conditions: Booking race conditions were completely eliminated
🔒
No More Deadlocks: The system now handles high-traffic spikes without database deadlocks
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