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Global e-commerce leader

Global e-commerce leader scales performance testing with Tricentis NeoLoad

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reduction in script maintenance effort

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savings on infrastructure costs

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improvement in application performance

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Company overview

This global technology enterprise is renowned for its innovative products and operates a sophisticated e-commerce platform across more than 30 markets. To serve a worldwide customer base, the company provides localized digital experiences complete with multiple languages, region-specific payment methods, and targeted promotions.

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    Industry: e-Commerce
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    Organization size: 14,000+
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    Location: Global
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Challenges

  • Could not efficiently handle ad-hoc performance testing requests for code upgrades, fixes, and sprint releases
  • Difficulty matching pace with peak user events under current load testing strategy

As the company continued its rapid global expansion, its existing performance testing practices struggled to keep pace. The team’s approach was limited to basic load tests with low user volumes, which failed to simulate the complex, high-traffic scenarios of a major online retailer. This gap became especially apparent during peak shopping seasons like Black Friday, when customers experienced slow page loads, transaction failures, and inconsistent site responsiveness.

These performance issues led to abandoned carts and risked eroding customer trust. The development teams, having transitioned to agile methodologies, required faster feedback loops that their traditional testing methods couldn’t provide. The engineering leaders knew they needed a more robust solution to proactively identify and resolve performance bottlenecks before they impacted a single customer. The goal was to evolve from a reactive stance to a forward-thinking performance engineering strategy that could support the company’s ambitious growth targets.

The solution: Building a scalable performance engineering practice

To address these challenges, the company partnered with LTIMindtree to implement a comprehensive performance engineering strategy centered on Tricentis NeoLoad. The primary goal was to create a testing framework that could simulate realistic, high-volume user traffic from multiple geographies, ensuring the e-commerce platform remained stable and responsive under any condition.

Leveraging NeoLoad’s SaaS platform across AWS, Azure, and GCP, the team could finally replicate real-world traffic patterns and scale tests to match peak event demand. This move to cloud-based testing eliminated dependencies on physical hardware and provided the elasticity needed for large-scale simulations.

A key differentiator in the new strategy was the powerful integration of NeoLoad with New Relic. This combination provided deep, real-time observability into the application, infrastructure, and third-party services during performance tests. With detailed dashboards, the team gained critical insights into:

  • CPU, memory, and infrastructure utilization under heavy load
  • Database query response times and throughput
  • Latency from critical API and third-party services
  • End-to-end correlation between NeoLoad test results and live system metrics

This proactive approach empowered the team to pinpoint bottlenecks early in the development cycle, validate fixes efficiently, and accurately predict scaling requirements ahead of major traffic spikes. By running targeted tests on database performance, security configurations, and APIs, the company shifted from firefighting production issues to preventing them entirely.

With guidance from LTIMindtree, the company’s teams adopted NeoLoad’s modular scripting capabilities, which simplified the creation and maintenance of test scripts. This allowed them to reuse test components across different scenarios, significantly reducing manual effort and accelerating the entire testing process.

Results

The adoption of Tricentis NeoLoad transformed the company’s approach to performance engineering, delivering measurable improvements across the board. The organization is now equipped to handle global traffic surges with confidence, ensuring a seamless and reliable shopping experience for customers everywhere, including results such as:

  • Faster release cycles: By detecting performance issues early and integrating testing into the CI/CD pipeline, the team reduced its release test cycle time by 45%. This enabled faster delivery of new features and enhancements to market.
  • Significant cost savings: The shift to cloud-based testing with NeoLoad led to a 40% reduction in infrastructure costs. Combined with a 50% reduction in script maintenance effort, the company achieved an overall testing cost reduction of 30–35%.
  • Improved platform performance and resilience: Application speed and responsiveness improved by 30% across all markets. The team successfully resolved critical issues related to APIs, third-party services, and bot attacks, leading to a more stable and resilient platform.
  • Enhanced user experience: Proactive performance management resulted in faster page loads, fewer disruptions, and a smoother shopping journey. This was particularly evident during peak seasons, where the platform delivered a consistently high-performing experience, boosting customer satisfaction and loyalty.
  • True global readiness: With the ability to simulate user traffic from various locations across three continents, the company can now confidently launch in new markets, assured that its platform can meet regional performance demands.

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