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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

  • Overview
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  • Overview
  • Overview
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  • Overview
  • Overview
QualiZeal is helping the client engineering organization to transform their Quality Engineering capabilities by building a suitable DevOps architecture, integrating end to end continuous test automation, shift-left performance testing, and integrating Static application security testing (SAST) and Dynamic application security testing (DAST) in the CI/CD pipelines.

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

Case Study: QE Partner for a world-class fin-tech firm

01

Tools used

Cypress; K6;CodeQL; ZAP;Netscaler; GitHub Actions (Community & Homegrown); Datadog; Prometheus; Grafana; AWS Cloudwatch; Cloudwatch logs; AWS Lambda

Case Study: QE Partner for a world-class fin-tech firm

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.

Case Study: QE Partner for a world-class fin-tech firm

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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