Optimizing a Global Automotive Benchmarking Platform
Improving responsiveness, scalability, and user experience for a globally used automotive benchmarking application accessed by thousands of engineers across multiple countries.
Client
A US-based automotive solutions provider with a global workforce, operating across four continents.
Problem Statement
The client’s web-based benchmarking application—used by engineers worldwide—was experiencing significant performance degradation when accessed from various geographies. Slow load times, network latency, and inconsistent responsiveness were affecting productivity and user satisfaction.
Industry
Quick Summary
- Delivered a modular, k6-based performance testing framework with multi-region simulation.
- Built unified dashboards with InfluxDB, Grafana, and AWS CloudWatch for real-time performance and infrastructure visibility.
- Improved application responsiveness across six global regions, reducing latency and ensuring consistent performance.
Client Profile
A US-based global engineering solutions provider specializing in automotive benchmarking and product development. With a footprint spanning four continents and a workforce of 2,000+, the company enables manufacturers to optimize costs and drive efficiency across the automotive value chain.
Performance Bottlenecks and Latency Challenges
- Geographical Latency: Users across different continents experienced inconsistent load times and degraded performance.
- Backend Bottlenecks: Several long-running queries led to high resource utilization and impacted response times.
- Lack of Monitoring Visibility: Limited observability into backend systems and regional performance metrics.
- UI Rendering Issues: Browser-level delays impacted user experience during page rendering.
- Scalability Gaps: The application struggled under high concurrent usage from distributed locations.
QBurst Solution: Global Performance Benchmarking & Optimization Framework
We engineered a repeatable, production-grade performance system to assess, optimize, and sustain application performance across global regions. The approach combined multi-region testing, backend tuning, and unified observability to deliver consistent user experience at scale.
- Multi-Region Load Testing: Simulated heavy user loads from six global regions using k6 to assess real-world performance and network latency patterns.
- UI Performance Profiling: Leveraged Browsertime to analyze frontend rendering behavior and identify slow-loading UI elements.
- Backend Optimization: Detected long-running queries causing resource saturation and provided detailed tuning recommendations.
- Unified Observability: Integrated InfluxDB, Grafana, and AWS CloudWatch for real-time performance insights.
- CI/CD Integration: Automated performance testing using Jenkins, with trigger-based execution across environments, regions, and load conditions.
Implementation Approach: Performance Engineering & Continuous Monitoring
- Built modular k6 scripts for dynamic, multi-region load simulation
- Simulated peak concurrent usage across global regions to benchmark performance
- Optimized database queries to reduce CPU and memory spikes
- Configured CloudWatch KPIs across servers, databases, and network layers
- Enabled real-time metrics streaming using k6 → InfluxDB → Grafana
- Leveraged Browsertime for UI performance profiling to resolve frontend delays
Business Impact: Scalable Performance and Global Consistency
- Global Benchmarking at Scale: Executed high-load tests across six regions, simulating 15,000+ concurrent users, and establishing baseline throughput of 2,500 requests/sec for continuous optimization.
- Eliminated Bottlenecks: Resolved critical backend issues through targeted query tuning, reducing query execution time by 40%.
- Enhanced Observability: Enabled proactive monitoring with comprehensive, real-time CloudWatch dashboards.
- Improved User Experience: Reduced latency by 25% and ensured consistent responsiveness for globally distributed users.
- Future-Ready Framework: Delivered a reusable, extensible k6-based testing framework with automated pipelines for continuous performance assurance.
Client
Challenges
QBurst Solution
Implementation Approach
Business Impact