<< Case Studies
Conquered on: 03 . 09 . 2021 Download case study as PDF
Home > Case Studies > Performance Excellence for Knowledge Delivery by Optimizing Video Learning App

Performance Excellence for Knowledge Delivery by Optimizing Video Learning App

About the client

A leading global consulting firm specializing in BI & Data Analytics services required a seamless learning experience for its employees through a video-based application. The new learning module housed a vast video library, demanding consistent performance without lags or buffering in a production environment.

The Challenges

Smooth video streaming by eliminating delays and ensuring flawless video playback

Real-world performance while replicating realistic user behavior and workload,

Guaranteeing performance aligned with business SLAs and exceeding user expectations

The Solutions

  • Crafting a detailed performance testing roadmap aligning with the client’s needs and objectives.
  • Automated load generation by using Test tools to simulate real-world user load and monitor system behavior.
  • Meticulously crafting test scripts and incorporating complex XML calls to mimic user interactions.
  • Development of precise workload models and engaging load test scenarios.
  • Progressive increase of load tests to observe response time, hardware utilization, and overall system stability under varied conditions.
  • Closely monitoring and analyzing video streaming behavior under load ensured optimal playback performance.
  • Comprehensive analysis of performance test results and monitoring data.

Services we offered

Performance Testing

Key Outcomes:

  • Issues with slow video downloads, attributed to network bottlenecks, were identified and promptly reported.

  • Post-defect fix retesting showcased significant performance improvements across all business scenarios.

  • Comparative executions confirmed application performance exceeded established SLAs.

  • Smooth video streaming and optimized performance significantly improved user experience during the learning process.

  • Testing tasks were completed within the estimated timeframe, exceeding expectations with a 14% reduction in planned effort.

  • Actionable recommendations for future performance improvements, ensuring continued application stability and scalability.