Sharp Gaming Betting Platform
In the competitive world of online betting, staying ahead requires continuous innovation and adaptability. This case study delves into how a leading Betting SaaS (Software as a Service) provider, Sharp Gaming, leveraged integrations to enhance its platform’s efficiency, offer a wider range of services, and gain a competitive edge.
Challenges
Sharp Gaming faced several challenges:
Limited Features: To stay competitive, Sharp Gaming needed to offer additional features such as top notch slots and casino games, which required integration with third-party providers.
Performance and Scaling Issues: The existing infrastructure was not easily scalable, making it challenging to accommodate a growing user base and increased data loads due to lack of performance.
Lack of Quality Assurance API framework:
The current solution lacked a Quality Assurance API framework to test the APIs of the newly incorporated providers.
Outcome
Our team implemented a comprehensive integration strategy:
API Integration:
Our team extended Sharp Gaming’s platform, integrating multiple slot and casino games integrations.
Using the advantage of the latest technologies our team built unified core architecture for easy implementation of future providers.
Performance and Scaling:
Our engineers successfully migrated the core of the project to the latest tech stack used in the company.
Quality Assurance API framework:
Our team created a Quality Assurance API framework to test the APIs of the newly incorporated providers.
Conclusion
As a dedicated team supporting Sharp Gaming, our collaborative efforts in implementing integrations have been instrumental in reshaping their Betting SaaS platform. By proactively tackling challenges, Sharp Gaming has not only elevated its product but has also established itself as a frontrunner in the industry, offering valuable insights to fellow SaaS providers in the betting sector.
Tech Stack
Backend: .NET Core, Entity Framework Core, RabbitMQ, HazelCast, Redis
Cloud: AWS, Microservices, Jenkins, Docker
Database: MySQL Server, MongoDB