Background
The Challenge
- The outdated MySQL engine lacked support for modern SQL features like window functions, CTEs, and JSON operations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
- Seamless migration and high availability using AWS Database Migration Service (AWS DMS), Amazon RDS Blue/Green Deployments, automated backups, and point-in-time recovery
- Modern analytics capabilities enabled through advanced SQL features, Amazon QuickSight dashboards, and real-time insights with Amazon Kinesis and AWS Lambda
- Optimised performance and scalability with InnoDB improvements, Amazon ElastiCache, query optimisation techniques, and autoscaling based on live traffic
- Secure and auditable infrastructure via AWS Secrets Manager, AWS CloudTrail, AWS Config, and structured ETL pipelines with Amazon S3, Amazon Redshift, and AWS Glue
The Result
The AWS-powered modernisation 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 optimisation
- 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
