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MagnusMinds IT Solution
Portfolio / Gaming Client

Gaming Application Case Study

Gaming / EntertainmentASP.NETSQL ServerAWS Load BalancersDatabase OptimizationModule Decoupling

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.

Gaming Application Case Study

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

ASP.NET logo
ASP.NET
SQL Server logo
SQL Server
A
AWS Load Balancers
D
Database Optimization
M
Module Decoupling

Client

Gaming Client

Industry

Gaming / Entertainment

Technologies

ASP.NET, SQL Server, AWS Load Balancers…

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