API Test Automation: 10x Faster Regression Cycles
3 product squads (~25 engineers)
5 weeks delivery
FinTech API Provider
Tech Stack:
The Problem
Regression testing was entirely manual. QA spent 2-3 days running through API scenarios in Postman before each release. This created a bottleneck: releases were delayed waiting for QA sign-off, and coverage was inconsistent (different scenarios tested each time based on QA memory).
The Approach
We built a fully automated API regression suite using Postman + Newman: (1) collaborated with QA to document 80+ critical API scenarios, (2) converted manual tests to automated Postman collections with assertions, (3) integrated tests into CI/CD to run on every PR and nightly, (4) added environment-aware configs for staging/production validation, (5) created a dashboard showing API health and coverage trends.
The Outcomes
- Cut regression cycle time from 2–3 days to 15–30 minutes (automated)
- Increased API coverage from inconsistent (~50%) to consistent 90%+
- Freed up 10–15 hours/week of QA time for exploratory testing
- Caught 8+ breaking changes before production in the first month
- Enabled daily releases (vs. weekly) due to faster validation
What Changed
Before: QA manually tested APIs in Postman for 2-3 days. Coverage varied based on memory/time. After: Automated suite ran in 15 minutes on every PR. 90%+ scenarios validated consistently. QA shifted to exploratory testing and edge case discovery.
Services Provided
- •API test automation framework design
- •Postman collection development and assertions
- •CI/CD integration for automated regression
- •Environment configuration and secrets management
- •API coverage and health monitoring dashboard
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