How Corebridge Financial Uses BlazeMeter to Catch Performance Issues Before Release

Corebridge Financial uses BlazeMeter in its deployment workflow to run threshold-based performance validation on new code. When code is deployed, BlazeMeter helps the team determine whether performance remains within accepted limits before changes move forward. 

One of the clearest examples is Corebridge’s “Okay to Sell” service, a partner-facing API used by external partners. In that use case, BlazeMeter helped the team evaluate percentile response times, identify slower outlier calls, and direct deeper investigation when results fell outside acceptable thresholds. 

The Challenge: Identifying Performance Issues Beyond Average Response Time 

Corebridge highlighted a use case involving its “Okay to Sell” service, a partner-facing API used by external partners to verify agent eligibility data. Because the workflow behind the service was complex, response times were inconsistent. 

The issue was not average performance alone. Some outlier calls took 1 to 2 minutes, even though most callbacks returned much faster. Corebridge needed a clearer way to evaluate service behavior beyond averages and determine when performance had moved outside acceptable limits. 

The Solution: Threshold-Based Performance Validation in the Deployment Workflow 

Corebridge uses BlazeMeter as part of its quality gate process for functional and performance testing. When new code is deployed, the pipeline triggers a performance test through the BlazeMeter API. Results are checked against accepted thresholds, and that pass or fail outcome helps the pipeline decide whether to commit the code or roll it back. 

For the “Okay to Sell” service, BlazeMeter helped the team evaluate 90th and 95th percentile response times, not just averages. In that use case, the team identified that 95% of callbacks were returned within 13 seconds and 90% within 5 seconds, while still surfacing slower outlier calls that needed attention. 

When results fell outside accepted limits, the team used AppDynamics to identify where calls were hanging and debug those calls. 

The Results: A Clearer Signal for When Performance Requires Investigation 

By implementing BlazeMeter as the enforcement mechanism for performance standards, Corebridge realized measurably improved API stability and reliability. The organization reduced response time variability, ensured that applications consistently met defined service level objectives, and significantly decreased the likelihood of performance-related incidents reaching production. 

With BlazeMeter, Corebridge established a dependable and repeatable validation process that enabled faster deployment cycles, lower operational risk, and greater confidence in application performance across all releases. 

• Optimized Response Times: Corebridge successfully tuned its services to ensure the vast majority of callbacks were complete within an acceptable timeframe.  
• Automated Execution: The deployment pipeline now executes performance validations on every commit without manual intervention. 
• Proactive Issue Resolution: Teams instantly know when a service update breaks a performance threshold, allowing them to optimize specific calls before they reach production. 

Why BlazeMeter Support Stood Out 

Corebridge described BlazeMeter support as one of the quickest support experiences they have across vendors. In the interview, the team specifically called out the speed of response and the value of staying close to the BlazeMeter team to better understand and use available features. 

Bottom Line 

Corebridge uses BlazeMeter as part of a threshold-based quality gate process for functional and performance testing. In the “Okay to Sell” use case, BlazeMeter helped the team evaluate percentile response times, identify when results had moved outside accepted limits, and direct investigation toward the calls that needed attention. 

Experience the positive impact BlazeMeter can have on your organization. Try BlazeMeter for free today or explore one of our on-demand demos to get started. 

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