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Cloud & infrastructure · #gcp
Environment variables and mounted secret files behave differently. Match the method to your application and test the failure path.
I am designing a Cloud CDN caching policy behind an external HTTP(S) load balancer and need to confirm what clients receive when origin revalidation returns a 5xx error during a stale-while-revalidate window. The origin sends Cache-Control: stale-while-revalidate=60, and a previous 200 response may or may not already be cached. I need to determine whether Cl
Compare suitability, operational responsibilities and limits before choosing this technology for a project. Which trade-offs should guide the decision?
Goal Understand the exact behavior of Cloud Tasks when an idempotency key is presented after the service's deduplication window has expired, or when the same key is intentionally reused for a logically distinct task payload. Constraints and Uncertainty Cloud Tasks documents an optional idempotency_key header that suppresses duplicate execution within a dedup
A performance change should improve the measured workload without sacrificing correctness or wasting capacity. Which measurements and bottlenecks should be considered first?
I am planning a zero-downtime migration of a small web application from an on-premises origin to Google Cloud (Cloud Run behind a Global External HTTP(S) Load Balancer). The intended design keeps the legacy origin serving traffic while the GCP backend is health-checked, then shifts traffic gradually rather than flipping a single record. Two supported mechani
Interoperability Boundary A Cloud Run service uses an application-level connection pool (for example, HikariCP with maxPoolSize=20 ) while the Cloud SQL Auth Proxy sidecar runs with --max_connections=10 . Both components enforce a connection ceiling, but the documented interaction between the two limits is not explicit about which one effectively governs bac