QA Scenarios

Each scenario shows how multiple services chain together to deliver a real-world QA outcome — from nightly regression to chaos engineering and Kubernetes-based test runners.

GitHub Actions

4

CI/CD workflows on GitHub Actions — from beginner command reference to OIDC deploys, nightly perf grids and Lambda canaries.

AWS-Native Scenarios

7

End-to-end blueprints built on AWS services — CodePipeline, ECS, EKS, Lambda, Chaos, performance and Kubernetes test runners.

AWS-Native Scenarios

CI/CD with Automation + Performance Gates

Build → unit tests → deploy ephemeral env → parallel Playwright e2e → k6 perf gate → canary with auto-rollback.

codecommitcodebuildcodepipelinecodedeployecsecrcloudwatchsnss3
AWS-Native Scenarios

Serverless Nightly Regression Automation

EventBridge schedules nightly automation. Step Functions seeds data, fans out API + UI suites in parallel, aggregates results.

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AWS-Native Scenarios

Distributed Playwright Grid on ECS Fargate

Run thousands of Playwright tests in parallel using SQS-backed Fargate workers, autoscaled on queue depth.

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AWS-Native Scenarios

Distributed Load Testing with Observability

k6 generators on EC2 Auto Scaling drive load against EKS services; correlate with X-Ray + CloudWatch; chaos via FIS.

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AWS-Native Scenarios

Soak + Stress Testing with FIS Resilience Drills

Multi-day soak test reveals memory leaks while FIS injects AZ failures and CPU pressure; auto-rollback on SLO burn.

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AWS-Native Scenarios

Mobile Automation Across 30 Real Devices

CodeBuild builds signed IPA/APK; Device Farm executes Appium suite across a curated device pool; artifacts archived to S3.

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AWS-Native Scenarios

Kubernetes Test Runner on EKS with Results in RDS

An EKS-native test platform: SQS dispatches jobs, the Kubernetes Jobs controller spins up Playwright/k6 pods, artifacts land in S3 and structured results stream into RDS PostgreSQL for dashboards and trend analysis.

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