spoonos-deployment-guide

You can deploy SpoonOS agents using Docker by applying a containerized setup with a Dockerfile for portable and consistent runtimes, ensuring explicit dependencies in scripts and clear configuration for environment variables and health checks.

Yes, SpoonOS agents can run on serverless platforms. AWS Lambda supports serverless event-driven execution, while Vercel provides quick serverless API endpoints, both requiring minimal Python tooling and clear environment variable configuration.

Self-hosting SpoonOS agents on a VPS is best achieved using a Systemd service and an Nginx reverse proxy for full control, applying security best practices and explicit dependencies within the deployment scripts to ensure stable execution.

Yes, GCP Cloud Run supports auto-scaling containers for SpoonOS agents. This deployment target applies containerized workflows to automatically scale your agents while maintaining clear configuration for health checks and security.

Yes, automating SpoonOS agent deployment requires FastAPI, Pydantic, and spoon_ai dependencies. You must declare these explicit dependencies in the scripts to ensure repeatable patterns and reliable deployment automation across hosting platforms.

SpoonOS agent deployment requires environment management and health checks because production environments are complex and error-prone. Applying secure configurations and reliable deployment automation ensures repeatable patterns across Docker, serverless, and VPS infrastructure.