Optimizing Cloud and Server Costs for a Fantasy Sports Giant

Our client, a prominent player in the fantasy sports industry, developed a popular application for NFL enthusiasts. This platform allowed users to create fantasy teams and earn rewards based on player performance.

Fantasy Sports
Cloud
Optimizing Cloud and Server Costs for a Fantasy Sports Giant

Problem

Despite having an impressive user base of around 50,000, the client was grappling with rising cloud and server maintenance costs.


Our Approach

Our team of technical consultants assessed the existing backend infrastructure and cloud service providers to identify areas of cost inefficiency while maintaining the application’s performance and reliability.

Cloud Infrastructure Audit: We conducted a thorough review of the client’s cloud infrastructure, examining usage patterns of virtual machines, storage, and networking resources.

Cost Breakdown Analysis: We analyzed the cost breakdown of cloud services to identify major expense areas.

Server Utilization Assessment: Our team assessed the performance and resource utilization of the existing servers, pinpointing over-provisioned or underutilized instances.

Rightsizing Resources: Based on usage patterns and performance metrics, we recommended right-sizing virtual machines and storage resources to match actual needs, eliminating over-provisioning and wastage.

Cost-effective Cloud Services: We identified more cost-effective alternatives for some cloud services without compromising performance or security.

Automated Scaling: We implemented automated scaling mechanisms to dynamically adjust resources based on user demand, ensuring the client was not paying for idle resources during low-traffic periods.

Serverless Architecture: Where feasible, we transitioned to a serverless architecture, reducing the need for maintaining and provisioning servers, significantly impacting cost reduction.


Benefits

Cost Reduction: Through rightsizing, optimizing cloud services, and automation, our client witnessed a substantial reduction in monthly cloud and server maintenance costs.

Improved Scalability: The implemented automated scaling mechanisms ensured that resources were always aligned with demand, improving application performance during peak times while minimizing costs during lulls.

Reliability and Performance: Despite cost-cutting measures, the application’s reliability and performance were maintained, ensuring a seamless user experience.

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