[Suggestion] Google Cloud Run streaming transcription microservice with health checks (Python)

[deepgram-robot]

What to build

A containerized streaming transcription microservice designed for Google Cloud Run, featuring WebSocket support for real-time STT, an HTTP endpoint for batch transcription, health check endpoints for Cloud Run's health monitoring, and a Dockerfile optimized for Cloud Run's concurrency model.

Why this matters

Google Cloud Run is one of the most popular container deployment platforms, with native WebSocket support and automatic scaling to zero. Developers deploying Deepgram-powered transcription services on GCP need a production-ready template that handles Cloud Run's specific requirements: request timeout configuration, concurrency settings, and health monitoring. No existing Deepgram example covers GCP container deployment, leaving a gap for the large GCP developer ecosystem.

Suggested scope

• Language: Python (FastAPI)
• Deepgram APIs: STT streaming (WebSocket), STT pre-recorded (REST)
• Infrastructure: Dockerfile, Cloud Run deployment config (service.yaml), health check endpoints
• Key patterns: WebSocket handling on Cloud Run, graceful shutdown, container health monitoring
• Complexity: Moderate

Acceptance criteria

• Runnable with minimal setup (clone, add API key, run)
• README explains the pattern clearly
• Uses current SDK version
• Includes production-ready Dockerfile
• Includes Cloud Run service.yaml deployment config
• Health check endpoint compatible with Cloud Run monitoring
• Documents Cloud Run-specific configuration (timeouts, concurrency, WebSocket support)

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Raised by the DX intelligence system.