Gaming Application Case Study
About Gaming Client
Our client, a global online-gaming provider, engaged MagnusMinds to validate and resolve frequent performance issues and determine the best strategy to scale their platform to handle continued growth.

MagnusMinds delivered strategic database performance tuning and infrastructure optimization that transformed a crash-prone platform into a reliably scaling gaming operation. The platform now runs in auto mode, delivering consistent performance — and the client has a foundation capable of supporting continued growth and a richer gaming experience.
Our Approach
Challenge & Solution
The Challenge
The client's app and website were experiencing significant performance issues including slow operation and frequent crashes. These issues prevented management from obtaining timely reports and were hindering growth. A single server was handling all requests, creating bottlenecks under a daily load of 10 million requests. Reports were generated from LOG/HISTORY tables and were inaccurate due to data inconsistencies, and the platform needed to integrate new game providers without additional infrastructure.
Our Solution
We leveraged our SQL Server optimization expertise as an immediate short-term fix, then developed a comprehensive long-term strategy. We identified modules that could be decoupled and deployed separately, distributing the load across multiple servers. AWS Load Balancers were introduced to manage traffic more effectively. We discovered and fixed data inconsistencies by optimizing the database schema — normalizing it for transactional operations and de-normalizing it for reporting, which improved report accuracy and reduced data load. Subsequently, we integrated 10 additional game providers onto the platform without requiring any new infrastructure.
What We Built
Key Features
SQL Server performance tuning and optimization
Module decoupling for independent deployments
AWS Load Balancers for traffic distribution
Database schema normalization for operations
De-normalized reporting schema for accurate reports
Game provider integrations without new infrastructure
Impact
Results & Outcomes
Platform scaled from 150k to 600k user collection
10 additional game providers integrated
Single-server bottleneck eliminated with load balancing
Report accuracy restored with schema optimization
Stack
Technologies Used
Client
Gaming Client
Industry
Gaming / Entertainment
Technologies
ASP.NET, SQL Server, AWS Load Balancers…
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