Enhancing Platform Responsiveness for Large-Scale Rental Operations

A leading North American rental housing provider manages over 31,000 single- and multi-family homes across multiple U.S. Sun Belt markets and Canada. Their digital platform supports key operations such as tenant leasing (including self-showings and screenings), rent payments, maintenance requests, and property analytics—serving thousands of concurrent users, including residents and on-site teams.

With rising market demand and accelerated digital adoption, the platform began to experience performance degradation during peak operational periods—especially around self-showing bookings, rent due dates, and move-in/move-out cycles. End users reported:

• Slow page loads impacting workflow efficiency
• Intermittent timeouts disrupting key transactions
• Delays in form submissions affecting booking and payment processes

A structured performance engineering initiative was executed to identify bottlenecks and improve system responsiveness across all major user flows

• Achieved <2 sec TTFB (Time to First Byte) for 90% of UI transactions under peak load
• Reduced self-showing scheduling latency by over 55% through query optimizations
• Completed 24-hour soak tests with stable memory and zero downtime
• Improved form submission reliability—timeouts dropped by 90%
• Enabled smoother user experience during critical “rent due” peaks with autoscaling responsiveness