What's changed: Created Professional Cloud Developer Chapter 5 (Domain 4 "Integration" part 1: data/storage/messaging = Cloud SQL/Firestore/Cloud Storage connections, connection pool, Cloud SQL Auth Proxy, ADC, Pub/Sub publish/subscribe/at-least-once/dead-letter; consuming Google Cloud APIs = enabling services, client libraries/REST/gRPC, batching/restrict/pagination/caching, exponential backoff, service accounts).
5.2Consuming Google Cloud APIs
Understand enabling Google Cloud services, calling APIs via client libraries/REST/gRPC, batching/restricting results/pagination/caching, error handling with exponential backoff, and making API calls with service accounts.
To harness Google Cloud, call each service API correctly and efficiently. Optimizing calls and error handling determines quality.
5.2.1Calling and optimizing APIs
First enable the API for the service you use. Call via language-specific client libraries (recommended), REST, or gRPC. For efficiency: batch multiple requests, restrict returned data to needed fields, paginate large result sets, and cache repeated results. This reduces latency, cost, and quota consumption. Map "efficient API use = batching/pagination/caching."
5.2.2Error handling and authentication
Retry transient errors (rate limits, blips) with exponential backoff to avoid overload from synchronized retries. Be mindful of quotas and rate limits, requesting increases when needed. Authenticate API calls with service accounts (and ADC), avoiding hardcoded keys. Map "transient errors = exponential backoff" and "API-call auth = service accounts."
Continue reading — free sign-up
You're reading the free preview. Sign up free to read this section in full, plus every chapter (including 4+) and all questions.