Beginner → Expert · AWS · GCP · Azure
Testing Professor
Your multi-cloud guidebook for QA.
One reference for the three big public clouds — what each service is, when to use it, how to set it up, how to use it, and how it fits into end-to-end QA workflows.
Pick your cloud
AWS
Amazon Web Services
The most mature public cloud.
GCP
Google Cloud Platform
Data, AI and serverless first.
Featured QA scenarios
AWS
CI/CD with Automation + Performance Gates
Build → unit tests → deploy ephemeral env → parallel Playwright e2e → k6 perf gate → canary with auto-rollback.
AWS
Serverless Nightly Regression Automation
EventBridge schedules nightly automation. Step Functions seeds data, fans out API + UI suites in parallel, aggregates results.
GCP
CI/CD with Automation + Performance Gates
Cloud Build → Artifact Registry → Cloud Deploy promotes through dev/qa/prod; verify jobs run Playwright and k6 as quality gates.
GCP
Serverless Nightly Regression with Workflows
Cloud Scheduler kicks a Workflow that seeds data, runs API + UI automation in parallel Cloud Run Jobs, aggregates to BigQuery.
Azure
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.
Azure
Event-Driven Nightly Automation
Logic Apps schedules nightly run; Service Bus dispatches to KEDA-scaled Container Apps workers; results to Cosmos + Blob.