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Case study 11AutomationFull-Stack

CI/CD & Regression Test Automation

GitHub Actions pipelines with API and UI regression tests, promoting one Docker image to every stage.

Role
Full-stack engineer · CI/CD and test automation
Core stack
GitHub ActionsDockerNode.jsDjangoReact
Every PR
Runs API integration and UI regression tests
1 image
Same Docker build promoted from staging to production
Blocked
Merges stop automatically when a required check fails

Overview

Brought automated testing and continuous delivery to retail client applications: every pull request runs API integration and frontend regression tests, and releases ship as Docker images through GitHub Actions.

Releases relied on manual testing and hand-configured servers, so regressions in checkout and payments surfaced late and deployments were slow and inconsistent.

Product walkthrough

The flow, screen by screen

Pipeline run
01 / 02

Pipeline run. Lint, typecheck, and unit tests run in parallel, the image that will ship is built once, then UI regression tests run across four shards against service containers before it deploys to staging. A flaky test is retried and flagged in the log.

ArchitectureCorePlatformAsync / control
pushresultsPull requestLint & unitfast checksAPI integrationPostgres · RedisUI regressioncheckout · dashboardsDocker imagebuilt onceTest reporton the pull requestProductionmanual promoteStagingauto deployRegistrytagged by commit
Each pull request is linted and tested against service containers; the Docker image is built once, deployed to staging, and the same image is promoted to production.

Approach

  1. 01Added API integration tests for payments, orders, and subscriptions against real PostgreSQL and Redis containers.
  2. 02Introduced frontend regression coverage for the key merchant dashboard and checkout flows.
  3. 03Containerized the Node.js, Django, and React applications with Docker so every environment runs the same build.
  4. 04Introduced GitHub Actions pipelines that lint, test, build images, and deploy, with production promoted manually.
  5. 05Published test reports on every pull request so reviewers could see exactly what failed and why.

Key decisions

Test the money paths first

Checkout, payments, and webhooks got integration coverage before anything else, because those regressions cost the most.

Build once, promote the same image

Shipping the exact container that passed staging removed “works on staging” surprises.

Parallel jobs for fast feedback

Independent test suites run side by side, so pull requests get results while the change is still fresh.

Outcomes

  • Regressions in checkout and payments are caught before review, not after release.
  • Faster, repeatable releases through CI and containers.
  • GitHub Actions
  • Docker
  • Node.js
  • Django
  • React
  • TypeScript
  • PostgreSQL
  • Redis

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