In the high-stakes world of sports betting and online gaming, data processing speed and accuracy are essential. Our client, a leading sports betting platform, required a robust solution to enhance their odds generation system, known as the Jarlon Model, to handle a high-frequency data feed from Bet365 and other providers in real time. Given the client’s global presence, the system needed to accommodate cross-border customers, payment compliance, and meet demands for ultra-low latency in an environment where odds accuracy directly impacts revenue and user engagement.
Client Name
Jarlon Trading
Industry
Sports Betting, Fintech, Online Casino
Country
United Kingdom
Major challenges include seamlessly navigating intricate compliance regulations, current legacy systems, addressing data security concerns, and delivering seamless integration across platforms. Time sensitivity added another layer of complexity.
High-Volume Data Processing
The platform struggled to process millions of real-time sports betting data points from multiple providers while maintaining sub-second performance. System stability was compromised during peak loads, affecting core business operations.
Performance Scalability
Critical performance degradation occurred during major sporting events when processing simultaneous updates across multiple leagues. This directly impacted the speed of odds generation and platform reliability.
Data Synchronization
High-frequency data processing led to synchronization issues and inconsistencies in odds calculations during peak loads. This created potential financial exposure and reliability concerns for the business.
Architecture Limitations
The existing infrastructure couldn't scale to support planned expansion into new markets and additional data integrations. A robust architectural solution was needed to handle growing data volumes while maintaining performance.
Our team designed a scalable, real-time data processing solution for the Jarlon Model, focusing on optimizing the odds ingestion, model execution, and data delivery layers. Below are the key components of the solution
Intelligent Model Architecture
We proposed a decoupled system design separating the Backwards and Forwards models with an intelligent decision layer. This architecture enables selective model execution based on data changes, optimizing resource utilization and processing efficiency.
Cloud-Native Processing Framework
We designed an event-driven architecture utilizing AWS SQS and Lambda functions for real-time data handling. The solution automatically scales to manage traffic spikes, ensuring consistent performance during high-volume betting periods.
Performance Optimization Engine
We developed a fine-tuned processing system combining optimized model algorithms with DynamoDB for data storage. The solution includes custom caching strategies and database optimizations to maintain sub-second processing times.
Advanced Data Validation System
We implemented comprehensive validation protocols to ensure data consistency between the Jarlon Model and provider feeds. The system includes automated checks and balances to maintain odds accuracy and prevent display of erroneous data.
Real-Time Integration Framework
We built a scalable integration framework that handles high-frequency updates from multiple providers. The system processes real-time notifications and market changes through optimized API integrations, ensuring seamless data flow to end-users.
Our team achieved success which reflected growth, engagement, and satisfaction. Our team led to exceptional outcomes focusing on growing revenue and client base, elevating user satisfaction, and much more.
Reduction in data processing latency
Reduction in infrastructure costs
Increase in concurrent users handled
System uptime maintained during peak events
This case study highlights our expertise in building high-performance, scalable systems for the sports betting and fintech industries. Our upgrades to the Jarlon Model demonstrate how a robust, real-time data processing architecture can enhance user experience, increase accuracy, and scale effortlessly to meet growing demand. This case study showcases our ability to design solutions for high-traffic, data-driven environments, making us an ideal partner for companies in sports betting, online gaming, and beyond.
Learn how we worked with clients to overcome their challenges and created the best solutions and experiences in these case studies.
