Background:
A video game development company experienced a surge in cloud costs following the launch of their new multiplayer game. With this situation, it was crucial to optimize cloud resource costs without compromising game performance, especially during peak demand.
Challenge:
The main challenge was to reduce server and storage costs without impacting the quality of the user experience, particularly during peak activity. A way had to be found to maintain optimal performance while controlling cloud costs.
Solution:
To address this challenge, the developer engaged CloudyFit. After a thorough analysis of cloud resource usage, we proposed the following corrective actions:
Implementation of a dedicated autoscaling system: This allowed the server capacity to be automatically adjusted based on real-time demand, preventing resource waste during low-activity periods.
Instance optimization: Creation of custom algorithm for automated spot reservation to reduce costs.
Results:
Through these optimization measures, the video game developer achieved remarkable savings:
Cost reduction: Monthly cloud resource costs were reduced by 40%.
Improved performance: The quality of the gaming experience was maintained, even during peak demand, ensuring optimal player satisfaction.
Conclusion:
This use case demonstrates the effectiveness of cloud cost optimization for video game developers. By leveraging CloudyFit technology, it is possible to significantly reduce costs without compromising game performance, ensuring the success of a game launch while optimizing long-term profitability.