Improving Platform Performance Through Automated Testing and Remediation

challenge

Performance Under Load

Imagine if your online platform experienced over 90% of its usage in just two weeks of the year. Now picture the repercussions of your platform having performance or stability issues during those same two weeks. Needless to say, one of the largest online tax preparation services in the country had a slight problem on their hands. They asked us to identify and resolve any issues within their software and hardware, to improve their confidence in their system’s performance under load before the next tax season.

Key Outcomes

The end result provided our client with successful load factors and a vastly improved performance, enabling them to enter peak season with confidence as their large customer base continues to grow.

Successful

load factors

Improved

performance

the solution

Load Testing

Our team developed automated test scripts, which were then deployed to AWS instances and ramped up. In coordination with the client, load was introduced until their systems crashed, so we could identify trouble spots in their architecture. Previous testing had scaled up to 5,000 concurrent users; we stress tested their system with 20,000, then 50,000 and eventually over 100,000 concurrent users. This included approximately 20 scenarios, such as logging in, creating a new account, and initiating a 1040EZ form.

Case Study

Apr 8, 2025

Enhanced Insights and Data-Driven Decision Making for Center Street Lending

Center Street Lending provides smarter loans for residential real estate investors in 42 states. Their internal teams relied on visualizations to make data-driven decisions within their loan programs, but their data sources were fragmented and not automated. Learn how we helped establish a single source of truth for streamlined communication between stakeholders and teams, while improving the accuracy and accessibility of key organizational metrics and KPIs.

Case Study

Apr 1, 2025

AI-Powered Predictions Drive Efficiency for Transportation & Logistics Company

For a global transportation & logistics client, predicting pickup volumes for their highest-tier and most urgent next day air delivery service was a challenge due to fluctuations in customer demand. Without precise predictions, planners would either over-allocate or under-allocate resources, negatively impacting our client’s efficiency and their customers’ satisfaction. They partnered with us to find a more reliable way to assist their route planners in optimizing daily dispatch schedules.

Case Study

Mar 27, 2025

Scalable Data Overhaul for Supply Chain Sustainability Company

The existing tech stack for a leader in sustainable supply chain and manufacturing intelligence lacked usability and accessibility, making it harder to provide comprehensive product insights for customers in the hospitality industry. Learn how we created an AI-ready data solution that could scale efficiently while minimizing manual processes.

Case Study

Mar 26, 2025

Using AI to Solve a Stadium’s Biggest Entry Headache

A major American stadium had been struggling with serious bag check bottlenecks after the introduction of new security policies. Our client needed to find a new way to screen bags that was efficient, consistent, and preserved the positive experience fans expect. Learn how we used AI to solve this challenge.

See All Case Studies

Improving Platform Performance Through Automated Testing and Remediation

Performance Under Load

Sparq IT Blog Cookies Policy