In a large-scale bank migration project, Cubio took charge of the testing automation process using Selenium, Appium, and TestNG. Integrated into a Jenkins CI/CD pipeline, the automated tests ensured accurate validation of all migrated data and processes, reducing manual testing efforts. Performance testing with JMeter ensured the new platform could handle high transaction volumes without performance degradation. This allowed for a smooth transition with minimal disruption.
For an insurance company, Cubio automated the testing of their claims processing system using TestComplete and Postman for API testing. By integrating these into a GitLab CI/CD pipeline, manual testing efforts were reduced by 70%, speeding up time-to-market for new features. Load testing with Gatling improved system performance by 30%, ensuring smooth operation during peak claim periods.E-commerce Platform:
Cubio implemented QA automation using Selenium and TestNG, integrated with a Jenkins CI/CD pipeline. This reduced regression testing time by 60%. Additionally, performance testing with JMeter ensured the platform could handle a 40% increase in user traffic during peak periods. Cross-browser testing through BrowserStack improved the user experience across multiple devices.
For a fintech platform, Cubio conducted security testing using OWASP ZAP and Burp Suite, identifying critical vulnerabilities and ensuring PCI DSS compliance. Automated mobile testing via Appium and integration with GitLab CI reduced deployment times by 25%, improving security and accelerating feature rollouts.
Cubio delivered manual testing and QA automation using TestComplete and Selenium, resulting in a 90% reduction in post-launch bugs. Performance testing with LoadRunner confirmed the system could handle high data loads, and CircleCI integration enabled faster releases, reducing time-to-market by 30%.
Cubio supported a SaaS provider by implementing continuous testing through Jenkins and Docker. API testing was automated with Postman and Newman, reducing the release cycle from quarterly to monthly and maintaining a 98% test pass rate. Gatling was used for load testing, ensuring scalability for an expanding user base.