Elyxor transformed a leading fintech provider's delivery process by implementing test automation, CI/CD pipelines, and elastic scaling, reducing costs, accelerating releases, and improving quality.
Case Study
Oct 24, 2024
Problem Statement
A leading retail banking software provider relied on a waterfall SDLC, dedicated hardware, and manual testing, resulting in costly upfront investments, extended release cycles, and limited agility. The client aimed to reduce time-to-market and operational costs by adopting an agile SDLC with a cloud-based, containerized architecture on RedHat OpenShift and Microsoft Azure.
Solution
Elyxor designed and implemented a scalable solution using the Elyxor Test Automation Platform (ETAP) and a comprehensive CI/CD pipeline to modernize their delivery process. The project was completed in just eight weeks and included functional and performance test automation, elastic scaling, and dashboard development.
Results
Digital Agility: Faster delivery of new features, measured deployment success with A/B testing, and analytics.
Continuous Delivery: Improved release quality, reduced timeline risks, and increased automation.
Elastic Scale: Lowered infrastructure costs and supported dynamic scaling to handle customer loads.
Key Deliverables
Functional Test Automation:
Integrated ETAP to streamline test case development and management.
Leveraged Selenium for UI and headless browser automation.
Externalized test data in JSON and managed test execution/reporting via TestRail.
CI/CD Pipelines:
Built Jenkins-based pipelines for automated deployment and testing in OpenShift.
Streamlined workflows for continuous integration and continuous testing.
Performance Test Automation:
Simulated elastic scaling with JMeter and Blazemeter to validate OpenShift's auto-scaling capabilities.
Dashboard Development:
Created a Python-based dashboard deployed on OpenShift for real-time project visibility.
Tech Stack
Elyxor Test Automation Platform, TestRail, Jenkins, TestNG
RedHat OpenShift, Microsoft Azure, Docker
Selenium, JMeter, Blazemeter, Python