GCP Professional Cloud Developer study materials
GCP Professional Cloud Developer study resources

GCP Professional Cloud Developer case studies

GCP Professional Cloud Developer · Put your knowledge to work in context.

The Professional Cloud Developer certification is a Google Cloud credential for developers who build and configure scalable, secure applications using Google-recommended tools and best practices. According to Google Cloud, the target candidate works across the full development lifecycle - from architecting cloud-native applications to integrating machine learning capabilities, using generative AI APIs, and applying AI-powered development tools such as coding assistants, context engineering and automated debugging agents. The GCP Professional Cloud Developer case studies are 5 cases and about 4,911 words.

1

Flash-sale 503s: connection exhaustion behind a connection-per-request handler

OrderFlow runs its order API on Cloud Run (2nd gen) behind an external HTTPS load balancer. Baseline is 20 req/s, but flash sales push 900 req/s for ten minutes.

926 words, about 5 min
2

8% flaky CI: integration tests asserting delivery guarantees Pub/Sub never made

A Go checkout service is tested in Cloud Build. Unit and integration tests pass on developer laptops but fail on roughly 8% of CI runs, always in the same three tests.

980 words, about 5 min
3

A 25-minute rollback: pinned traffic, deleted revisions, and migrations on startup

A team ships 30 Cloud Run services from a single Cloud Build trigger on every push to main. Deploys use gcloud run deploy --source .

951 words, about 5 min
4

Ordering keys that don't order, a 600-second lease, and a dead-letter topic that isn't dead

An inventory service receives stock-level events on a Pub/Sub topic with message ordering enabled. A push subscription delivers to a Cloud Run service (concurrency=80, max-instances=100).

1,085 words, about 5 min
5

Streaming inserts: 0.4% double-counted and a batch that returns 200 while dropping rows

A Go service on GKE ingests ad impressions into BigQuery using tabledata.insertAll with a per-row insertId set to the impression ID. The client retries on any 5xx or deadline-exceeded with exponential backoff.

969 words, about 5 min