Overcoming Application Latency and Scaling Challenges

Industry:

Manufacturing

Region:

North America

Technology:

Apache JMeter, Azure DevOps

About the Client

The client is a leading manufacturer of garage doors serving both residential and commercial markets across the United States and Canada. Their operations rely on a robust, custom-built application to manage the full lifecycle of orders—from configuration and entry to production scheduling, inventory tracking, and final shipment. The system also supports real-time integration with dealers and automated warehouse systems.

Challenges

As the company broadened its product portfolio and expanded into new regional markets, the application began showing signs of performance degradation—especially during peak order intake and scheduling windows. These slowdowns led to:

  • Reduced user productivity across operations and support teams
  • Delays in production workflows and supply chain coordination
  • Latency issues affecting partner portals and downstream systems
Solutions

A tailored performance testing strategy was designed and executed, focusing on real-world usage patterns and business-critical workflows. The key initiatives included:

  • Identifying and modeling high-usage scenarios
  • Designing performance UI and API test scripts
  • Monitoring system health and resource usage
Results

The performance engineering efforts led to substantial improvements in application responsiveness, scalability, and overall system reliability:

  • Delivered a 40% improvement in response times for door configuration and order submission transactions
  • Achieved 98% transaction completion within 2 seconds under 800 concurrent users
  • Identified and resolved memory leaks during endurance testing, significantly reducing unplanned downtime
  • Boosted API throughput for inventory updates by 60%, enhancing the warehouse module’s performance
  • Validated the system’s readiness for seasonal demand spikes and partner expansion
Read The Full Case Study

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