Building on a strategic partnership since 2016, Apexon evolved from streamlining application and infrastructure environments to leading a major financial institution’s enterprise cloud-native transformation. A key milestone includes the successful migration of a core auto-lending platform from on-premises legacy systems to a high-performance Amazon Aurora and Amazon ECS on Fargate architecture.
Success Story Financial Services
US-Based Bank Cuts Cycle Time, Improves User ExperienceApexon: Modernizing Financial Application and Infrastructure through Agile Automation and Proven Resilience 
This company is changing the online banking landscape with award-winning services powered by innovative digital experiences. Its offerings include a full suite of digital banking, loan, and investment products for consumer, commercial, and corporate customers.
The bank’s mission is to make auto financing as convenient as possible for both consumers and dealers. Enabling borrowers to manage their loans via web and mobile is an important part of this goal, but disjointed frontend, backend, and database environments were causing trouble with testing cycles, and leaving customers with an inconsistent experience.
-
Serving +18,000 dealers
-
4M customers in the U.S.
-
Finance a vehicle purchase every minute
the Customer
Journey
Journey
- Application Automation (Perfecto)
- Master Data Management Testing
- Loan Origination System (LOS) Test Automation
- Automation for Application Monitoring
- Digital Transformation UAT Testing Analyst – Mobile Invest
- Advantage Regression suite Automation
- DevOps support
- Auto Online Services
- Application Support
- Full stack development & QE Automation
- Data Engineering
- Platform Engineering
the Results
Key Outcomes
Reduced
Cycle Time
Cycle Time
Automation and reusable test components speed testing by 97%
Comprehensive
Automation
Automation
Enabling daily execution of regression suite and testing of complex scenarios
Higher
Service Levels
Service Levels
Improved quality drives higher customer satisfaction
Enhanced
Resilience
Resilience
Established automated recovery processes to ensure high availability and rapid service restoration.
Improved
Agility
Agility
Streamlined capacity scaling by implementing a fully automated Infrastructure as Code (IaC) model.
Increased
Observability
Observability
Enhanced system reliability through comprehensive monitoring.
Go Digital
Accelerating the delivery of new digital initiatives with confidence
Be digital
Creating the infrastructure and foundation to scale digital initiatives
Evolve Digital
Leveraging data and analytics to continuously improve digital delivery processes
Enable digital adoption in a quick, and agile manner
The Apexon QE team devised a test automation strategy that ensured proposed architectural changes were tested and certified in an Agile and automated fashion, speeding cycle time for new web and mobile applications.
Build digital infrastructure and foundation for enterprises to scale
The open-source automation framework enabled the company’s delivery team to write automated UI tests for each interface.
Leverage data engineering to make strategic decisions and get digital right every time
Using Apexon’s testing framework, automation scripts are executed on real mobile devices that can also be shared across different teams and different geographies for testing.
The challenge
TO BUILD A SEAMLESS, OMNI-CHANNEL EXPERIENCE
The bank envisioned a seamless, omni-channel consumer-oriented experience that would differentiate its services from the competition and strengthen its customer relationships. This included enabling easy online account management (for example, adding payment accounts, enrolling in auto pay, making payments, requesting a quote, and much more). Behind the scenes though, the web and mobile applications had different frontend, backend, and database environments. Each channel presented a different experience.
Addressing these problems was hampered by too many time-consuming manual application and infrastructure processes including:
Environment Inconsistency
It took a full week to execute. 100 test cases in a single environment due to manual infrastructure provisioning and setup.
Infrastructure Silos
There was no ability to deploy or validate applications across multiple environments at the same time, creating much slower delivery cycles.
Modernization Expertise
The bank did not have the internal expertise to manage large-scale application migrations on multiple browsers or complex hybrid infrastructure scenarios.
Operational Latency
Complex narrative testing and manual environment refreshes slowed cycle time even further, preventing rapid scaling to meet consumer demand.
The Solution
CLOUD-NATIVE DELIVERY & AUTOMATION FRAMEWORK
The bank turned to Apexon to roll out a new technology architecture to facilitate a backend system upgrade along with new UI flows to provide a better customer experience. Core Solution Components
Agile POD Delivery Model: Apexon deployed a structured Agile POD framework to provide continuous, high-velocity management of the application lifecycle. The engagement featured specialized teams, including Platform Lead Engineers and Senior Automation Engineers, operating across 25+ sprint cycles to ensure architectural integrity.
Integrated Infrastructure as Code: The solution utilized a Terraform-based Infrastructure as Code (IaC) model to automate the deployment of Amazon ECS on Fargate and Amazon Aurora environments. This framework enabled the delivery team to provision consistent, secure environments across all channels without manual intervention.
Cross-Platform Automation: The automation framework integrated with cloud-based testing platforms to execute scripts against real mobile devices and a variety of desktop web browsers. This ensured that automated UI tests could simulate real user activities for each interface while maintaining a “Security by Design” posture for high-compliance workloads.
FINAL IMPACT SUMMARY
As a result, the bank was able to cut testing cycle time from one week to four hours in a single test environment for 450+ test cases. The implementation also delivered a 33% reduction in cost per workload and a 50% reduction in mttr while maintaining 99.99% uptime in production.
Jenkins – Jenkins for Continuous Integration
Selenuum – Selenium grid for parallel execution
Highly Available Architecture: Built resilient RDS Proxy for banking failovers
Application Modernization: Modernized legacy services to API-first architecture
Multiple batch scenarios which could be executed simultaneously