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Kye Gomez 5 days ago
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# Deploying Swarms on Phala Network # 🔐 Swarms x Phala Deployment Guide
## Overview This guide will walk you through deploying your project to Phala's Trusted Execution Environment (TEE).
!!! abstract "What you'll learn" ## 📋 Prerequisites
Deploy Swarms agents on Phala Network's decentralized cloud infrastructure, leveraging secure and private execution environments through Trusted Execution Environments (TEE).
## Prerequisites - Docker installed on your system
- A DockerHub account
- Access to Phala Cloud dashboard
!!! check "Before you begin" ## 🛡️ TEE Overview
Make sure you have:
For detailed instructions about Trusted Execution Environment setup, please refer to our [TEE Documentation](./tee/README.md).
- [:simple-docker: Docker](https://www.docker.com/get-started){ .md-button } installed on your system ## 🚀 Deployment Steps
- [:simple-docker: DockerHub](https://hub.docker.com/){ .md-button } account ### 1. Build and Publish Docker Image
- [:octicons-terminal-24: tee-cloud-cli](https://github.com/Phala-Network/tee-cloud-cli){ .md-button } installed
- [:simple-phala: Phala Network](https://phala.network){ .md-button } account with PHA tokens
## Quick Start Guide
=== "1. Build Docker Image"
```bash
docker compose build -t <your-dockerhub-username>/swarm-agent-node:latest
```
=== "2. Push to DockerHub"
```bash
docker push <your-dockerhub-username>/swarm-agent-node:latest
```
=== "3. Deploy to Phala"
```bash
tee-cloud-cli deploy --image <your-dockerhub-username>/swarm-agent-node:latest
```
## Deployment Methods
### Using tee-cloud-cli (Recommended)
!!! tip "Recommended Method"
This is the preferred way to deploy your Swarms agents.
1. Install the CLI:
```bash
npm install -g @phala/tee-cloud-cli
```
2. Configure credentials:
```bash
tee-cloud-cli config set --key YOUR_KEY
```
3. Deploy your agent:
```bash
tee-cloud-cli deploy --image your-image --name your-agent-name
```
### Using Phala Dashboard
1. Visit [:material-web: Phala Cloud Dashboard](https://cloud.phala.network/)
2. Connect your wallet
3. Navigate to "Deploy" section
4. Configure your deployment
5. Click "Deploy"
## Configuration
### Environment Variables
!!! example "Configuration Example"
```yaml
SWARMS_API_KEY: "your-api-key"
PHALA_ENDPOINT: "wss://api.phala.network/ws"
TEE_WORKER_ENDPOINT: "http://localhost:8000"
```
### Resource Requirements
| Resource | Recommended |
|----------|------------|
| CPU | 2-4 cores |
| Memory | 4-8 GB |
| Storage | 20-50 GB |
## Monitoring
### Viewing Logs
=== "Using Dashboard"
Access logs through the Phala Dashboard interface
=== "Using CLI"
```bash
tee-cloud-cli logs --name your-agent-name
```
### Health Checks
```bash ```bash
tee-cloud-cli status --name your-agent-name # Build the Docker image
``` docker compose build -t <your-dockerhub-username>/swarm-agent-node:latest
## Best Practices
!!! success "Recommended Practices"
1. **Version Control**: Tag Docker images with specific versions
2. **Security**: Keep credentials out of Docker images
3. **Resource Management**: Monitor and adjust resource usage
4. **Backup**: Maintain regular backups
5. **Testing**: Use staging environment first
## Troubleshooting
??? question "Deployment Failures"
- Verify Docker image accessibility
- Check resource allocations
- Validate environment variables # Push to DockerHub
docker push <your-dockerhub-username>/swarm-agent-node:latest
??? question "Connection Issues" ```
- Verify network connectivity
- Check Phala endpoint status
- Validate API credentials
??? question "Performance Problems"
- Monitor resource usage
- Adjust allocation if needed
- Check for memory leaks
## FAQ
??? question "What is TEE?"
TEE (Trusted Execution Environment) is a secure area of a processor that guarantees code and data loaded inside is protected with respect to confidentiality and integrity.
??? question "How much does it cost to deploy?"
Deployment costs vary based on resource usage and current PHA token prices. Check the [Phala pricing calculator](https://cloud.phala.network) for current rates.
??? question "Can I use custom Docker images?" ### 2. Deploy to Phala Cloud
Yes, you can use any Docker image that's compatible with the Phala Network requirements and accessible on DockerHub.
Choose one of these deployment methods:
- Use [tee-cloud-cli](https://github.com/Phala-Network/tee-cloud-cli) (Recommended)
- Deploy manually via the [Phala Cloud Dashboard](https://cloud.phala.network/)
### 3. Verify TEE Attestation
Visit the [TEE Attestation Explorer](https://proof.t16z.com/) to check and verify your agent's TEE proof.
## 📝 Docker Configuration
Below is a sample Docker Compose configuration for your Swarms agent:
```yaml
services:
swarms-agent-server:
image: swarms-agent-node:latest
platform: linux/amd64
volumes:
- /var/run/tappd.sock:/var/run/tappd.sock
- swarms:/app
restart: always
ports:
- 8000:8000
command: # Sample MCP Server
- /bin/sh
- -c
- |
cd /app/mcp_example
python mcp_test.py
volumes:
swarms:
```
??? question "How do I scale my deployment?" ## 📚 Additional Resources
You can scale by adjusting resource allocations or deploying multiple instances through the dashboard or CLI.
## Support & Community For more comprehensive documentation and examples, visit our [Official Documentation](https://docs.swarms.world/en/latest/).
Need help? Join our communities: ---
[:simple-discord: Phala Discord](https://discord.gg/phala){ .md-button } > **Note**: Make sure to replace `<your-dockerhub-username>` with your actual DockerHub username when building and pushing the image.
[:simple-discord: Swarms Discord](https://discord.gg/swarms){ .md-button }
[:material-book: Phala Docs](https://docs.phala.network){ .md-button }
[:octicons-mark-github-16: GitHub Issues](https://github.com/kyegomez/swarms/issues){ .md-button }
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