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Case Studies
QE Partner for a world-class Fin-tech firm.
A US-based fin-tech servicing firm innovates to develop a scalable, flexible platform that helps clients build and launch better debit, credit, and lending products. Selected and engaged QulaiZeal as their Quality Engineering partner.
Location
US
Industry
FinTech
Year
2021
Headlining stats
50%
faster time to market with continuous testing approach
75%
reduction in test cycle
75%
Improved API response times by 75%
~25K
Cost savings of ~25K with optimized tooling
2000+
Added 2000+ fast executing end-to-end API-based functional, performance, and security tests run on every build
21x
times reduction in build deployment time through 1-touch deployment
Process and timeline
01
Tools used
Cypress; K6;CodeQL; ZAP;Netscaler; GitHub Actions (Community & Homegrown); Datadog; Prometheus; Grafana; AWS Cloudwatch; Cloudwatch logs; AWS Lambda
02
Problem
Platform is built on modern API-based architecture and maintains an immutable general ledger with dynamic retroactive events and supports multiple issuer processor integrations. The platform attained a critical capability and quality engineering issues surfaced as more clients started being serviced by the platform.
03
Challenges
- Experimental development frameworks using SST- Serverless stack forcing limited tool options (SEED CLI)
- Post-modern software engineering methodology
Solution / Outcome
1
Architected and implemented GitHub action-based CI with AWS CLI and SST and managed 13 deployment configurations with less than 30 lines of code.
2
Implemented a test automation framework based on Cypress.io for API/Webservices and UI tesing using data-driven features to cover all edge cases in financial calculations.
3
Team was composed of engineers with Banking Domain knowledge to improve the test coverage and increase the overall quality of the platform.
4
Built API load tests using the K6.io framework and integrated them inside CI/CD pipelines.
5
Performed thorough SAST, DAST scans and performed API security testing, and revealed very useful vulnerabilities. We built a DevSecOps pipeline to run scans continuously.
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