How to Run a Real-Time API Across 10 Global Regions on GKE — Without Duplicating Your Manifests

Short summary

A detailed engineering walkthrough of deploying a real-time speech translation service across 10 GCP regions using GKE without duplicating Kubernetes manifests. The architecture uses a Kustomize base/overlay pattern where a single prod.yml defines all shared configuration and per-region overlays patch only region-specific env vars and secrets. A dual-cloud approach pairs GCP compute with Azure Cognitive Services for best-in-class STT and translation, keeping cross-cloud latency under 20ms.

• •Kustomize base/overlay pattern manages 10 GCP regions from one source of truth
• •Dual-cloud: GCP for compute, Azure for AI services, cross-cloud latency under 20ms
• •Per-region overlays patch only REGION env var and region-specific secrets

Generated with AI, which can make mistakes.