Deployment

Deploy your ADK-TS agents to production using various platforms and deployment strategies. Choose the approach that best fits your infrastructure and requirements.

Platform Guides

Deploy to popular cloud platforms with step-by-step instructions:

🐳 Docker

Deploy using Docker containers to any platform

☁️ AWS

Deploy to AWS Lambda, ECS Fargate, or EC2 for scalable cloud deployment

🚂 Railway

Deploy using Railway's container hosting platform

⚡ Vercel

Deploy serverless functions for API agents and webhooks

Agent-Specific Guides

Deployment guides for specific agent types with unique requirements:

📱 Telegram Bots

Deploy polling-based Telegram bots as background workers

Coming Soon

We're working on guides for additional platforms:

☁️ Google Cloud - Cloud Run and GKE deployment
🌐 Netlify - Serverless functions and static site deployment
⚓ Kubernetes - Container orchestration for scalable deployments

Contributions Welcome

Have experience deploying ADK-TS agents to other platforms? We welcome contributions! Share your deployment guides by opening a pull request on GitHub or start a discussion in our community forum.

Prerequisites

Before deploying your agent, ensure you have:

Built and tested your ADK-TS agent locally
Environment variables documented and ready to configure
Dependencies properly defined in package.json
Production configuration prepared (API keys, database connections, etc.)

General Best Practices

Environment Variables: Never commit sensitive data; use platform-specific secret management
Health Checks: Implement health check endpoints for monitoring
Logging: Configure proper logging for production debugging
Error Handling: Ensure graceful error handling and recovery
Resource Limits: Set appropriate memory and CPU limits
Monitoring: Set up monitoring and alerting for your deployed agents

Next Steps

Choose a deployment platform from the guides above to get started, or explore our other guides for best practices and troubleshooting tips.