Scaling a Sports Analytics SaaS to Global Acquisition
From 17-Hour Wait Times to 6-Second Insights: How We Scaled a Sports Analytics SaaS to Global Acquisition
The Challenge: Scaling Bottlenecks Were Killing Growth
Imagine this: Your customers are frustrated, waiting 17+ hours for critical sports analytics reports. They start looking for alternatives.
- AWS costs are skyrocketing ($50K+ per month), but performance is still getting worse.
- Your dev team is working overtime, patching issues—but nothing seems to last.
- Investors and stakeholders are asking tough questions: “Can this platform really scale?”
This company was at a crossroads: scale effectively or lose momentum.
The CEO was frustrated:
We’re spending more on AWS every month, but performance keeps getting worse—why?
Our dev team keeps patching things, but we’re not seeing lasting improvements. What’s the real problem?
How do we scale to meet global demand without breaking our infrastructure?
They didn’t need more developers. They needed a smarter system.
The Results: Immediate Wins & Long-Term Growth
❌ Before: Customers waited 17 hours for analytics reports, making real-time insights impossible.
✅ After: Execution time slashed to 6 seconds, enabling instant insights and improving customer retention.
❌ Before: AWS costs were spiraling out of control at $50K+ per month.
✅ After: Optimized cloud infrastructure cut AWS costs by $50K/month, improving margins without sacrificing performance.
❌ Before: Dev teams spent 60%+ of their time firefighting and manually fixing performance issues.
✅ After: Automated monitoring, caching, and optimizations freed engineers to focus on building new features instead of fixing old ones.
❌ Before: Every system change felt risky, causing fear of breaking production.
✅ After: CI/CD pipelines with automated performance testing made scaling predictable and releases stress-free.
Our Solution: A System That Scales Without Breaking
We didn’t just patch performance issues—we engineered a scalable solution that ensured lasting efficiency.
- Database Optimization & Query Tuning: Eliminated inefficient joins, optimized indexes, and restructured stored procedures for 10,000x faster query execution.
- Redis Caching Implementation: Reduced redundant queries, accelerating response times without increasing database load.
- AWS Cost Optimization: Migrated from an over-provisioned SQL Server EC2 instance to AWS RDS, cutting costs while improving reliability.
- CI/CD for Performance Testing: Automated regression testing prevented future slowdowns, ensuring sustained performance at scale.
- Real-Time Monitoring Dashboards: Engineers could now track system health and optimize in real time, eliminating firefighting.
💡 Why This Worked: Instead of throwing more servers at the problem, we redesigned the system to scale efficiently—saving money while boosting performance.
Is Your SaaS Struggling to Scale? Stop Wasting Money on AWS & Fix the Root Cause.
If your AWS bill keeps climbing while performance gets worse, your business is losing money and customers every day.
🚀 Let’s diagnose your scalability problems—for free. In 30 minutes, we’ll identify where you’re bleeding money and how to fix it.