Tag - CQ9-Gaming

How We Helped a US Gaming Leader Handle 10M+ Daily Requests

  Overview: When a leading online gaming company (USA-based) started facing frequent crashes, lagging performance, and scaling challenges, they turned to MagnusMinds for help. Their app and website key to delivering gaming content were suffering from slow operations, frequent crashes, and unreliable reporting. With their growth ambitions at stake, the client needed a solution that would support high traffic, reduce downtime, and enable seamless expansion of their gaming offerings and real time updates.    Challenges:  Slow response times and frequent crashes hampered user experience, especially in Casino games during payment transactions.  Management could not access accurate and timely reports, in part due to flawed data sources and schema.  The platform had to accommodate about 10 million requests per day. Existing infrastructure couldn’t reliably support that.  To stay competitive, the client wanted to add new gaming providers (more games) without building out entirely new infrastructure.  Solution: MagnusMinds approached this challenge in phases: short-term fixes for immediate relief followed by long-term structural improvements.    Quick Fixes:  We optimized their existing SQL Server setup and few SQL queries to alleviate immediate database pressure. This bought time to design a more robust architecture.     Long-term architecture & performance overhaul  Decoupling Modules: Components that were all handled on a single server were separated so they can be deployed and scaled independently.  Load Balancing: Introduced AWS Load Balancers to distribute traffic and prevent any single point of overload.  Database Schema Optimization:   For operations: normalized schema to ensure data integrity and efficiency  For reporting: denormalized where useful to speed up queries and reduce complexity  Data consistency fixes: Ensured reports no longer rely on laggy or inconsistent log/history tables.    Gaming Providers Integration: Integrated 9 additional game providers (mentioned below) into the platform without requiring new core infrastructure.  Pragmatic Play  BNG (Booongo)  Dragoon Soft Game  BTi Sportsbook  Blaze Game  Spribe Game  Play’n GO Game  Jili Game  CQ9 Gaming    Infrastructure & Scaling Improvements:  Migrated/leveraged AWS services (EC2, RDS, etc.) to gain better scalability and availability.  Ensured the system could support growth: in metrics, capacity, and user demand.    Results & Impact: The platform collection grew from 150k to 600k (a four-fold increase).  Application is now functioning in auto-mode, delivering stable and consistent performance.  Downtime and crashes have been greatly reduced.  Reports are now accurate, timely, and useful for management decisions.  The client is satisfied, able to continue expanding the gaming catalog, and better positioned for further growth.    Conclusion: This case illustrates how tackling both immediate pain-points and investing in long-term architecture can transform a platform from struggling to scalable. By optimizing databases, decoupling services, integrating new game providers, and improving infrastructure, MagnusMinds helped its client not just survive but thrive.  If you’re facing performance bottlenecks, unreliable reporting, or limitations in scaling your gaming platform, reach out to MagnusMinds. We can help chart a roadmap to growth, stability, and better gaming experiences. 

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