> ## Documentation Index
> Fetch the complete documentation index at: https://docs.pyleeai.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Deployments

> Understanding deployments in Pylee and how to deploy your MCP servers

# Deployments

Deployments are the mechanism by which your MCP servers are made available and accessible in Pylee. They represent running instances of your server versions that can be connected to and used by AI models.

## What are Deployments?

Deployments in Pylee are live, running instances of your MCP servers that:

* **Execute Server Code**: Run your server version's code and configuration
* **Handle Connections**: Accept connections from AI models and clients
* **Manage Resources**: Allocate and manage computational resources
* **Provide Endpoints**: Expose your server's tools and resources
* **Monitor Health**: Track server performance and availability

## Deployment Types

### Development Deployments

Used for testing and development:

* **Local Testing**: Run servers locally for development
* **Staging Environment**: Test in production-like conditions
* **Feature Testing**: Validate new features before release
* **Integration Testing**: Test server integrations

### Production Deployments

Used for live, production workloads:

* **High Availability**: Ensure server uptime and reliability
* **Load Balancing**: Distribute requests across instances
* **Auto Scaling**: Automatically scale based on demand
* **Performance Monitoring**: Track production metrics

### Temporary Deployments

Short-lived deployments for specific purposes:

* **Demo Deployments**: Showcase server capabilities
* **Testing Deployments**: Validate specific scenarios
* **Experiment Deployments**: Test new configurations
* **Backup Deployments**: Emergency fallback instances

## Creating Your First Deployment

### Prerequisites

Before creating a deployment, ensure you have:

1. **Server Version**: A valid server version to deploy
2. **Configuration**: Proper server configuration including:
   * Remotes (if using HTTP endpoints)
   * Packages (if using external dependencies)
   * Variables (environment configuration)
   * Secrets (sensitive data)
3. **Permissions**: Deployment creation permissions in your organization

### Step-by-Step Guide

1. **Navigate to Server**: Go to your server's page in Pylee
2. **Select Version**: Choose the version you want to deploy
3. **Create Deployment**: Click "Create New Deployment"
4. **Configure Environment**: Set deployment-specific configuration
5. **Review Settings**: Verify all configuration is correct
6. **Deploy**: Start the deployment process
7. **Monitor**: Watch deployment status and health

### Deployment Process

When you create a deployment, Pylee:

1. **Validates Configuration**: Checks all settings are correct
2. **Provisions Resources**: Allocates computational resources
3. **Installs Dependencies**: Downloads and installs required packages
4. **Starts Server**: Launches your server with the specified configuration
5. **Performs Health Checks**: Verifies server is running correctly
6. **Exposes Endpoints**: Makes server available for connections

## Deployment Configuration

### Environment Variables

Configure your deployment with environment-specific settings:

```json theme={null}
{
  "variables": {
    "API_BASE_URL": "https://api.production.com",
    "LOG_LEVEL": "warn",
    "MAX_CONNECTIONS": "100",
    "TIMEOUT": "30000"
  }
}
```

### Resource Allocation

Specify computational resources for your deployment:

```json theme={null}
{
  "resources": {
    "cpu": "1000m",
    "memory": "512Mi",
    "storage": "1Gi"
  }
}
```

### Network Configuration

Configure network settings:

```json theme={null}
{
  "network": {
    "ports": [8080, 8443],
    "protocols": ["http", "https"],
    "loadBalancer": true
  }
}
```

### Scaling Configuration

Set up auto-scaling parameters:

```json theme={null}
{
  "scaling": {
    "minReplicas": 1,
    "maxReplicas": 10,
    "targetCPU": 80,
    "targetMemory": 70
  }
}
```

## Deployment Lifecycle

### 1. Provisioning Phase

* **Resource Allocation**: Computational resources are allocated
* **Environment Setup**: Runtime environment is prepared
* **Dependency Installation**: Required packages are installed

### 2. Startup Phase

* **Server Launch**: Your server process is started
* **Configuration Loading**: Environment variables and secrets are loaded
* **Service Registration**: Server registers with Pylee infrastructure

### 3. Running Phase

* **Request Handling**: Server processes incoming requests
* **Health Monitoring**: Continuous health checks are performed
* **Performance Tracking**: Metrics are collected and analyzed

### 4. Scaling Phase

* **Load Monitoring**: Request load is continuously monitored
* **Auto Scaling**: Additional instances are created as needed
* **Load Distribution**: Traffic is distributed across instances

### 5. Termination Phase

* **Graceful Shutdown**: Server is gracefully stopped
* **Resource Cleanup**: Allocated resources are released
* **Data Persistence**: Any persistent data is saved

## Deployment Management

### Monitoring Deployments

Track deployment health and performance:

* **Health Status**: Monitor server health and availability
* **Performance Metrics**: Track response times and throughput
* **Resource Usage**: Monitor CPU, memory, and storage usage
* **Error Rates**: Track and analyze error patterns

### Scaling Deployments

Manage deployment scaling:

* **Manual Scaling**: Manually increase or decrease instances
* **Auto Scaling**: Automatically scale based on metrics
* **Scheduled Scaling**: Scale based on time patterns
* **Predictive Scaling**: Scale based on predicted demand

### Updating Deployments

Update running deployments:

* **Rolling Updates**: Gradually update instances
* **Blue-Green Deployment**: Switch between environments
* **Canary Deployment**: Test updates with subset of traffic
* **Rollback**: Revert to previous version if needed

## Deployment Strategies

### Rolling Deployment

Gradually replace old instances with new ones:

1. **Start New Instance**: Launch new version instance
2. **Health Check**: Verify new instance is healthy
3. **Route Traffic**: Gradually shift traffic to new instance
4. **Terminate Old**: Remove old instance when safe
5. **Repeat**: Continue until all instances are updated

### Blue-Green Deployment

Maintain two identical environments:

1. **Blue Environment**: Current production deployment
2. **Green Environment**: New version deployment
3. **Testing**: Validate green environment thoroughly
4. **Switch**: Route traffic from blue to green
5. **Rollback**: Keep blue environment for quick rollback

### Canary Deployment

Test new version with small subset of traffic:

1. **Deploy Canary**: Deploy new version to small subset
2. **Monitor**: Watch canary performance and errors
3. **Validate**: Ensure canary performs well
4. **Gradual Rollout**: Gradually increase canary traffic
5. **Full Deployment**: Complete rollout if successful

## Deployment Security

### Access Control

Control who can manage deployments:

* **Deploy Permissions**: Who can create deployments
* **Manage Permissions**: Who can update deployments
* **View Permissions**: Who can view deployment details

### Network Security

Secure deployment network access:

* **Firewall Rules**: Control network access
* **TLS/SSL**: Encrypt data in transit
* **VPN Access**: Secure remote access
* **IP Whitelisting**: Restrict access by IP address

### Data Security

Protect sensitive data in deployments:

* **Secrets Management**: Secure storage of sensitive data
* **Encryption**: Encrypt data at rest and in transit
* **Access Logging**: Log all data access
* **Audit Trail**: Track all deployment changes

## Deployment Monitoring

### Health Checks

Implement comprehensive health monitoring:

```json theme={null}
{
  "healthChecks": {
    "startup": {
      "path": "/health/startup",
      "timeout": "30s",
      "interval": "5s"
    },
    "liveness": {
      "path": "/health/live",
      "timeout": "5s",
      "interval": "30s"
    },
    "readiness": {
      "path": "/health/ready",
      "timeout": "5s",
      "interval": "10s"
    }
  }
}
```

### Performance Metrics

Track key performance indicators:

* **Response Time**: Average and percentile response times
* **Throughput**: Requests per second
* **Error Rate**: Percentage of failed requests
* **Availability**: Uptime percentage
* **Resource Utilization**: CPU, memory, and storage usage

### Alerting

Set up alerts for deployment issues:

* **High Error Rate**: Alert when error rate exceeds threshold
* **Slow Response**: Alert when response time is too high
* **Resource Exhaustion**: Alert when resources are running low
* **Health Check Failure**: Alert when health checks fail

## Deployment Troubleshooting

### Common Issues

**Deployment Fails to Start**

* Check server configuration
* Verify dependencies are available
* Review startup logs
* Validate environment variables

**High Error Rate**

* Review error logs
* Check external dependencies
* Validate configuration
* Monitor resource usage

**Poor Performance**

* Analyze performance metrics
* Check resource allocation
* Review code efficiency
* Optimize configuration

**Connection Issues**

* Verify network configuration
* Check firewall rules
* Validate endpoints
* Test connectivity

### Debugging Steps

1. **Check Logs**: Review deployment and server logs
2. **Monitor Metrics**: Analyze performance metrics
3. **Test Connectivity**: Verify network connections
4. **Validate Configuration**: Check all settings
5. **Resource Analysis**: Monitor resource usage
6. **External Dependencies**: Test external services

## Best Practices

### Deployment Planning

* **Environment Parity**: Keep environments similar
* **Configuration Management**: Use consistent configuration
* **Dependency Management**: Pin dependency versions
* **Resource Planning**: Allocate appropriate resources

### Monitoring Strategy

* **Comprehensive Monitoring**: Monitor all aspects
* **Proactive Alerting**: Set up preventive alerts
* **Performance Baselines**: Establish performance baselines
* **Regular Reviews**: Regularly review metrics

### Security Practices

* **Principle of Least Privilege**: Minimal required permissions
* **Regular Updates**: Keep dependencies updated
* **Security Scanning**: Regularly scan for vulnerabilities
* **Incident Response**: Have incident response plan

### Performance Optimization

* **Resource Optimization**: Right-size resources
* **Caching Strategy**: Implement appropriate caching
* **Connection Pooling**: Use connection pooling
* **Load Testing**: Regular load testing

## Integration with CI/CD

### Automated Deployment

Integrate deployment with CI/CD:

```yaml theme={null}
name: Deploy to Production
on:
  push:
    tags:
      - 'v*'

jobs:
  deploy:
    runs-on: ubuntu-latest
    steps:
      - name: Deploy to Pylee
        run: |
          pylee server deploy \
            --server=${{ env.SERVER_NAME }} \
            --version=${{ github.ref_name }} \
            --environment=production
```

### Deployment Pipeline

Create comprehensive deployment pipeline:

1. **Build**: Build server artifacts
2. **Test**: Run automated tests
3. **Deploy Staging**: Deploy to staging environment
4. **Integration Test**: Run integration tests
5. **Deploy Production**: Deploy to production
6. **Monitor**: Monitor deployment health

## Next Steps

* Learn about [Server Versions](/understanding-pylee/server-versions) to understand what gets deployed
* Explore [Variables](/understanding-pylee/variables) for environment configuration
* Check [Secrets](/understanding-pylee/secrets) for secure data management
* Review [Servers](/understanding-pylee/servers) for server management basics
* Visit [Troubleshooting](/support/troubleshooting) for common issues and solutions