Azure
QA Scenarios
Each scenario shows how multiple Azure services chain together to deliver a real-world QA outcome — from nightly regression to chaos engineering. Use them as blueprints.
CI/CD with Playwright + Load Testing Gates
Azure Pipelines builds, pushes to ACR, deploys to Container Apps staging, runs Playwright + Azure Load Testing, then traffic-shifts to prod.
Event-Driven Nightly Automation
Logic Apps schedules nightly run; Service Bus dispatches to KEDA-scaled Container Apps workers; results to Cosmos + Blob.
Massively Parallel Playwright with Microsoft Playwright Testing
Cut a 90-minute suite to under 10 by running 50+ cloud-hosted Playwright browsers in parallel from Azure DevOps.
Distributed Performance Testing with Azure Load Testing
Run JMeter from multiple regions, push metrics to App Insights, gate releases on p95 + error-rate criteria.
Soak Test with Chaos Studio Resilience Drills
Multi-hour load on AKS while Chaos Studio injects pod kills, latency and AZ failures; Monitor SLO decides pass/fail.
Kubernetes Test Runner on AKS with Results in Azure SQL
AKS runs Playwright/JMeter Jobs scaled by KEDA from Service Bus; artifacts persist to Blob Storage while structured results land in Azure SQL Database for Power BI dashboards.