Case Study

ISportAnalysis: RDS MySQL Migration and Upgrade Case Study

Background

iSportsAnalysis is a UK-based platform offering video tagging, data analysis, and real-time feedback tools to help coaches and teams improve performance across various sports.
Rambunct migrated ISportAnalysis from MySQL 5.6 to RDS MySQL 8, enabling 70% faster sports analytics queries, advanced statistical modeling, and enhanced security—supporting the demands of a next-gen sports data platform.

The Challenge

ISportAnalysis, a UK-based sports analytics SaaS provider, struggled with its outdated MySQL 5.6 infrastructure, lacking modern analytics, scalability, and security. These issues delayed insights and limited real-time performance analysis for users.
  • Outdated MySQL engine lacked support for modern SQL features like window functions, CTEs, and JSON operations
  • Performance and scalability issues due to poor indexing, limited tuning, and inefficient query processing
  • Security vulnerabilities stemming from deprecated features and lack of ongoing support
  • Delayed insights and innovation caused by slow reporting and lack of real-time performance analysis for teams and coaches

Our Solution

The solution enables secure, high-performance sports data migration and analytics using AWS. It supports zero-downtime cutovers, real-time streaming, and scalable operations for peak match traffic.
  • Seamless migration and high availability using AWS DMS, RDS Blue/Green Deployments, automated backups, and point-in-time recovery
  • Modern analytics capabilities enabled through advanced SQL features, QuickSight dashboards, and real-time insights with Kinesis and Lambda
  • Optimized performance and scalability with InnoDB improvements, ElastiCache, query optimization techniques, and autoscaling based on live traffic
  • Secure and auditable infrastructure via AWS Secrets Manager, CloudTrail, Config, and structured ETL pipelines with S3, Redshift, and Glue

The Result

The AWS-powered modernization delivered significant gains in performance, cost-efficiency, and user experience for ISportAnalysis. It enhanced analytics speed, tightened security, and laid the groundwork for advanced innovation in sports data.
  • Faster performance and insights with 70% faster analytics queries, 90% quicker JSON processing, and real-time dashboards
  • Cost and storage efficiency achieved with 60% storage savings and 40% cost reduction through optimization
  • High availability and security via 99.9% uptime, encrypted data, and IAM-based access controls
  • Boosted productivity and innovation through advanced SQL features, DevOps automation, and a foundation for future ML capabilities