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Success Story

Enhancing Performance in Pega Applications by 50%

Client Background

As an independent investment and strategic advisory firm based in the UK, the firm is committed to delivering exceptional investment performance, strategic advice, and top-notch services to its clients.

Client Need

As the organization was in the process of building two new applications on Pega, ensuring their readiness and reliability posed significant hurdles:
Validating the applications' ability to handle a simulated load of 100 users while ensuring scalability for future growth.
Maintaining application stability and reliability through rigorous regression testing after each deployment.

Solution

To address these challenges, our experts executed a comprehensive strategy that included:
Automated Testing: Automated all high-priority scenarios using JMeter, enabling efficient testing of critical functionality
Regular Load Testing: Conducted weekly load tests during the staging phase to evaluate application performance under simulated user loads
Regression Testing: Performed regression testing for each deployment to identify and address functionality issues promptly
Final Validation: Once the applications stabilized, automated all high-priority scenarios and conducted a final load test to validate performance

Realized Benefits

The transformation delivered significant results, including:
A 50% improvement in performance through data grid pagination enhancements
Expedited deployment timelines and optimized processes with regular load tests
Early issue detection and minimized potential disruptions through regression testing after each deployment

Tools & Technologies

Pega Platform 8.x
Snowflake
Apache JMeter
Spring Framework

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