Migrate a US-only, high-day/idle-night, containerized Python 3 service and enable Error Reporting with minimal cost and effort.

Deploying to Cloud Run is the most cost-effective and low-effort solution for a high-day/idle-night, US-only containerized service. Cloud Run automatically scales to zero when idle, eliminating costs during off-peak hours, and handles infrastructure management. Writing errors to stderr allows Cloud Logging to automatically capture these logs, which are then ingested by Error Reporting without additional configuration or cost. Deploying to GKE Autopilot, while also managed, incurs higher baseline costs than Cloud Run due to its Kubernetes cluster overhead, even when scaled down. Streaming errors to a Cloud Storage bucket would require additional code to implement the streaming mechanism and would not automatically integrate with Error Reporting without further configuration, increasing effort and complexity compared to simply logging to stderr.