How Popken Fashion Group secured seamless cloud migration with Gatling Enterprise

Popken embarked on a major cloud migration and needed to ensure their e-commerce platform could handle large volumes of traffic while maintaining top performance. Any disruptions during peak shopping periods would negatively affect both revenue and customer satisfaction.

• Cloud migration complexity: Popken needed to validate that their cloud infrastructure could match the performance of their on-premise setup.
  
  
• No real-time performance insights: Without comprehensive load testing, performance issues were often discovered too late, causing delays in problem-solving.
  
  
• Manual performance testing: The lack of integration with CI/CD pipelines meant that performance testing was often manual, reactive, and inefficient.

• Comprehensive Load Simulation: Gatling simulated 250 concurrent users to test real-world conditions, ensuring Popken’s platform could handle peak traffic during critical events. The simulations covered the entire customer journey, from browsing to checkout, identifying bottlenecks early in the process.
  
  
• Dynamic Testing Flexibility: Gatling allowed Popken to adjust simulations to match changing traffic patterns, ensuring their system remained responsive during high-demand periods.
  
  
• Database Optimization: Gatling’s stress tests identified database bottlenecks, optimizing queries and caching strategies to improve page load times even during peak traffic.
  
  
• CI/CD Integration: Gatling was integrated into Popken’s CI/CD pipeline, automating performance testing for every code commit, which helped detect performance issues before they reached production.
  
  
• User-Friendly Reporting: Gatling provided actionable reports that allowed both technical and business teams to easily understand the platform’s performance, speeding up decision-making and problem-solving.

• Significant Performance Gains: Popken achieved 99.9% of requests with response times of 1,143ms or less, exceeding performance targets.
  
  
• Operational Efficiency: Automated testing freed up the development team to focus on new features while maintaining performance.
  
  
• Long-Term Scalability: Gatling ensured that Popken’s infrastructure could continue to handle increasing demand as the business grew.

Popken plans to implement performance thresholds for every pull request, ensuring issues are detected even earlier in the development process. They will also increase the frequency of load tests to maintain platform responsiveness as their user base continues to grow.

Using Gatling Enterprise, Popken plans to enforce performance thresholds as part of their pull request process, ensuring that any code changes impacting performance are detected and resolved early on. This proactive approach will maintain the platform’s speed and reliability, providing customers with a consistently smooth experience.

Additionally, by running daily load tests, the team will be able to catch potential issues even earlier, ensuring the platform remains responsive under all conditions. As Popken Fashion Group continues to innovate and grow, Gatling Enterprise will play a crucial role in upholding the high standards of performance and reliability that their users expect.