What problem does it solve?
This Skill provides production deployment configurations for ElizaOS agents, including Docker, monitoring, and scaling strategies. It simplifies the process of moving AI agents from development to a robust, observable, and scalable production environment.
Core Features & Use Cases
- Docker Deployment: Generates
Dockerfile and docker-compose.yml for containerized deployments with databases and caching.
- Monitoring Integration: Sets up Prometheus metrics collection for tracking agent performance and usage.
- Production Checklist: Provides a comprehensive checklist for environment variables, health checks, logging, and security.
- Use Case: To deploy your ElizaOS agent to production using Docker, use this skill to "deploy my ElizaOS agent." It will generate the necessary Docker files, configure monitoring, and guide you through a production readiness checklist.
Quick Start
Deploy my ElizaOS agent to production using Docker and set up basic monitoring.