Case Study: Corebridge Financial catches performance issues before release with BlazeMeter

Corebridge Financial catches outlier API calls with BlazeMeter, validating 95% of callbacks in 13 seconds

Corebridge Financial faced a challenge with its "Okay to Sell" API service, where inconsistent performance and slow outlier calls were difficult to identify using average response times alone. They needed a clearer method to evaluate service behavior and determine when performance fell outside of acceptable limits before new code reached production. To address this, they turned to the vendor BlazeMeter for performance testing.

By implementing BlazeMeter as part of its automated deployment workflow, Corebridge established a threshold-based quality gate. The solution provided validation against percentile response times, which allowed the team to proactively identify and debug issues. The results included measurably improved API stability, reduced response time variability, and a significant decrease in performance-related incidents reaching production. BlazeMeter enabled faster deployment cycles and greater confidence in application performance.

Corebridge Financial