# Terradev User Guide

## Table of Contents

1. [Getting Started](#getting-started)
2. [Dashboard Overview](#dashboard-overview)
3. [GPU Arbitrage](#gpu-arbitrage)
4. [Cost Management](#cost-management)
5. [Deployment Management](#deployment-management)
6. [Risk Analysis](#risk-analysis)
7. [API Integration](#api-integration)
8. [Troubleshooting](#troubleshooting)
9. [Best Practices](#best-practices)

## Getting Started

### Sign Up

1. Visit [https://app.terradev.io](https://app.terradev.io)
2. Click "Sign Up" and create an account
3. Verify your email address
4. Choose your subscription tier (Free or Paid)

### Initial Setup

#### 1. Configure Cloud Credentials

Navigate to **Settings > Cloud Providers** and add your credentials:

**AWS:**
- Access Key ID
- Secret Access Key
- Default Region

**Google Cloud:**
- Service Account Key JSON
- Project ID
- Default Region

**Azure:**
- Client ID
- Client Secret
- Tenant ID
- Subscription ID

**RunPod:**
- API Key

**Lambda Labs:**
- API Key

**CoreWeave:**
- API Key

#### 2. Set Budget Limits

Go to **Settings > Budget** to configure:
- Monthly spending limit
- Alert thresholds (50%, 75%, 90%, 100%)
- Notification preferences

#### 3. Configure Preferences

Set your default preferences in **Settings > Preferences**:
- Preferred cloud providers
- Preferred regions
- Spot pricing preference
- Risk tolerance level

## Dashboard Overview

### Main Dashboard

The main dashboard provides an at-a-glance view of your GPU arbitrage activities:

#### Key Metrics Panel
- **Current Hourly Cost**: Real-time cost across all deployments
- **Total Savings**: Month-to-date savings from arbitrage
- **Active Deployments**: Number of running GPU instances
- **Available Opportunities**: Current arbitrage opportunities

#### Cost Trend Chart
Visualize your spending over time with:
- Daily cost breakdown
- Savings accumulation
- Provider comparison
- Budget utilization

#### GPU Price Monitor
Real-time GPU pricing across providers:
- Current spot prices
- Price trends
- Availability status
- Savings potential

#### Opportunity Feed
Latest arbitrage opportunities:
- Provider recommendations
- Estimated savings
- Confidence scores
- Risk levels

### Navigation Menu

- **Arbitrage**: GPU price comparison and opportunity analysis
- **Deployments**: Manage your GPU deployments
- **Costs**: Detailed cost analysis and budgeting
- **Risk**: Risk assessment and volatility analysis
- **Settings**: Account configuration and preferences

## GPU Arbitrage

### Finding Opportunities

#### Basic Search

1. Navigate to **Arbitrage > Search**
2. Select GPU type (A100, H100, A10G, etc.)
3. Set maximum budget per hour
4. Choose providers (all or specific)
5. Click "Find Opportunities"

#### Advanced Search

For more sophisticated analysis:

1. **Risk Parameters:**
   - Maximum risk score (0.0-1.0)
   - Confidence threshold (0.0-1.0)
   - Volatility tolerance

2. **Financial Modeling:**
   - Include Greeks calculation
   - Time-of-use pricing
   - Liquidity analysis
   - Correlation analysis

3. **Time Constraints:**
   - Required duration
   - Flexibility window
   - Start time preferences

#### Understanding Results

**Opportunity Card:**
- **Provider & Instance**: Cloud provider and instance type
- **Hourly Cost**: Current spot price
- **Savings**: Percentage and dollar amount saved
- **Confidence**: Algorithm's confidence in the opportunity
- **Risk Level**: Low, Medium, or High risk
- **Features**: Additional benefits (high availability, fast network, etc.)

**Risk Indicators:**
- 🟢 **Low Risk**: Stable pricing, high availability
- 🟡 **Medium Risk**: Moderate volatility, good availability
- 🔴 **High Risk**: High volatility, limited availability

### Opportunity Analysis

#### Detailed View

Click on any opportunity to see detailed analysis:

**Pricing Analysis:**
- Historical price trends
- Volatility metrics
- Market efficiency score
- Price forecast

**Risk Assessment:**
- Value at Risk (VaR)
- Expected Shortfall
- Sharpe Ratio
- Greeks (Delta, Gamma, Theta, Vega)

**Provider Comparison:**
- Performance metrics
- Reliability score
- Network quality
- Support response time

#### Opportunity Scoring

Terradev uses a sophisticated scoring algorithm:

**Base Score (40%)**: Raw price advantage
**Risk Adjustment (25%)**: Risk-adjusted pricing
**Volatility Factor (15%)**: Volatility impact
**Liquidity Premium (10%)**: Market depth consideration
**Correlation Discount (10%)**: Portfolio correlation

### Acting on Opportunities

#### Quick Deploy

1. Click "Deploy" on the opportunity card
2. Review deployment configuration
3. Confirm deployment

#### Custom Deploy

1. Click "Customize" on the opportunity card
2. Modify deployment settings:
   - Instance configuration
   - Docker image
   - Environment variables
   - Storage requirements
3. Save and deploy

#### Save for Later

Click "Watch" to monitor the opportunity without deploying immediately.

## Cost Management

### Cost Dashboard

#### Overview

The cost dashboard provides comprehensive spending analysis:

**Total Cost Breakdown:**
- By provider (AWS, GCP, Azure, RunPod, etc.)
- By GPU type (A100, H100, A10G, etc.)
- By project/deployment
- By time period

**Savings Analysis:**
- Total savings achieved
- Savings percentage
- Savings by provider
- Savings trends over time

#### Cost Trends

**Visualizations:**
- Daily spending chart
- Cumulative cost curve
- Provider comparison
- Budget utilization gauge

### Budget Management

#### Setting Budgets

1. Navigate to **Costs > Budget**
2. Click "Create New Budget"
3. Configure:
   - Budget amount (monthly)
   - Alert thresholds (50%, 75%, 90%, 100%)
   - Notification channels
   - Budget categories

#### Budget Alerts

Configure alert notifications:

**Email Alerts:**
- Budget threshold warnings
- Daily/weekly spending summaries
- Anomaly detection alerts

**Slack Integration:**
- Real-time budget notifications
- Team spending updates
- Cost optimization suggestions

#### Budget Optimization

Terradev provides automated optimization suggestions:

**Spot Migration:**
- Identify on-demand instances that can be migrated to spot
- Estimated savings and implementation effort
- Risk assessment for migration

**Provider Switching:**
- Find cheaper alternatives for current deployments
- Cost-benefit analysis
- Migration complexity assessment

**Right-Sizing:**
- Identify over-provisioned instances
- Recommend appropriate instance sizes
- Performance impact analysis

### Cost Forecasting

#### Predictive Analytics

Terradev uses machine learning to forecast costs:

**Factors Considered:**
- Historical spending patterns
- Seasonal trends
- Market price movements
- Planned deployments

**Forecast Accuracy:**
- 7-day forecast: 85% accuracy
- 30-day forecast: 78% accuracy
- 90-day forecast: 65% accuracy

#### Scenario Planning

Model different spending scenarios:

**Growth Scenario:**
- Increased deployment needs
- New project requirements
- Team expansion impact

**Optimization Scenario:**
- Maximum spot utilization
- Provider switching benefits
- Right-sizing opportunities

## Deployment Management

### Deployment Dashboard

#### Active Deployments

Monitor all running GPU deployments:

**Deployment Status:**
- Running: Currently active and processing
- Initializing: Starting up
- Stopped: Terminated
- Failed: Error during deployment

**Key Metrics:**
- Current cost per hour
- Total runtime
- GPU utilization
- Estimated completion time

#### Deployment Actions

**Control Actions:**
- Stop deployment
- Restart deployment
- Scale resources
- Modify configuration

**Monitoring Actions:**
- View logs
- Check metrics
- Performance analysis
- Cost tracking

### Creating Deployments

#### Quick Deployment

1. Navigate to **Deployments > Create**
2. Select GPU type and provider
3. Choose from pre-configured templates:
   - PyTorch Training
   - TensorFlow Training
   - Jupyter Notebook
   - Custom Container
4. Set duration and budget
5. Deploy

#### Advanced Deployment

**Instance Configuration:**
- GPU count and type
- CPU cores
- Memory allocation
- Storage requirements
- Network configuration

**Software Stack:**
- Docker image selection
- Environment variables
- Startup commands
- Volume mounts
- Port configurations

**Advanced Options:**
- Auto-scaling settings
- Health checks
- Monitoring configuration
- Backup policies
- Security settings

#### Deployment Templates

Create reusable deployment templates:

**Template Components:**
- Instance specifications
- Software configuration
- Environment setup
- Monitoring preferences
- Cost limits

**Template Sharing:**
- Team templates
- Public templates
- Version control
- Template analytics

### Deployment Monitoring

#### Real-time Monitoring

**Performance Metrics:**
- GPU utilization
- Memory usage
- CPU utilization
- Network I/O
- Storage I/O

**Application Metrics:**
- Training progress
- Model accuracy
- Loss curves
- Custom metrics

#### Log Management

**Log Collection:**
- Application logs
- System logs
- Error logs
- Access logs

**Log Analysis:**
- Search and filter
- Error pattern detection
- Performance analysis
- Compliance auditing

#### Alerting

**Pre-configured Alerts:**
- High GPU utilization
- Memory pressure
- Application errors
- Cost anomalies

**Custom Alerts:**
- Metric thresholds
- Log pattern matching
- Budget limits
- Performance SLAs

## Risk Analysis

### Risk Dashboard

#### Risk Overview

Comprehensive risk assessment across all deployments:

**Risk Categories:**
- **Market Risk**: Price volatility, market inefficiency
- **Operational Risk**: Provider reliability, instance availability
- **Financial Risk**: Cost overruns, budget breaches
- **Technical Risk**: Performance issues, compatibility problems

#### Risk Metrics

**Key Risk Indicators (KRIs):**
- Value at Risk (VaR)
- Expected Shortfall
- Maximum Drawdown
- Sharpe Ratio
- Beta Coefficient
- Correlation Matrix

### Volatility Analysis

#### Price Volatility

**Volatility Metrics:**
- Historical volatility (daily, weekly, monthly)
- Implied volatility from options pricing
- Volatility clustering detection
- Mean reversion analysis

**Volatility Forecasting:**
- Realized volatility analysis
- Regime-switching models
- Monte Carlo simulations
- Confidence intervals

#### Volatility Management

**Volatility Strategies:**
- Volatility targeting
- Dynamic hedging
- Portfolio rebalancing
- Risk parity allocation

### Risk Mitigation

#### Diversification

**Provider Diversification:**
- Multi-cloud deployment
- Geographic distribution
- Instance type variety
- Provider-specific risk analysis

**Temporal Diversification:**
- Staggered deployments
- Time-based averaging
- Market timing avoidance
- Liquidity management

#### Hedging Strategies

**Financial Hedging:**
- Options strategies
- Futures contracts
- Forward contracts
- Swaps

**Operational Hedging:**
- Backup providers
- Instance reservations
- Capacity planning
- SLA management

## API Integration

### Getting API Access

#### API Keys

1. Navigate to **Settings > API Keys**
2. Click "Generate API Key"
3. Set key permissions and restrictions
4. Copy and securely store the key

#### Authentication

Terradev supports multiple authentication methods:

**JWT Tokens:**
- Short-lived (1 hour)
- User-specific permissions
- Refresh token support

**API Keys:**
- Long-lived
- Service account access
- Rate limit quotas

### SDK Integration

#### Python SDK

```python
from terradev import TerradevClient

# Initialize client
client = TerradevClient(api_key="your-api-key")

# Get GPU prices
prices = client.gpu.get_prices(gpu_types=["a100", "h100"])

# Find opportunities
opportunities = client.arbitrage.find_opportunities(
    gpu_type="a100",
    max_budget=5.0
)

# Deploy instance
deployment = client.deployment.deploy(
    gpu_type="a100",
    provider="runpod",
    configuration={
        "image": "pytorch/pytorch:latest",
        "command": ["python", "train.py"]
    }
)
```

#### JavaScript SDK

```javascript
import { TerradevClient } from 'terradev-js';

const client = new TerradevClient({
  apiKey: 'your-api-key'
});

// Find opportunities
const opportunities = await client.arbitrage.findOpportunities({
  gpuType: 'a100',
  maxBudget: 5.0
});

// Deploy with callback
client.deployment.deploy({
  gpuType: 'a100',
  provider: 'runpod'
}).then(deployment => {
  console.log('Deployment ID:', deployment.id);
});
```

#### Go SDK

```go
package main

import (
    "github.com/terradev/terradev-go"
)

func main() {
    client := terradev.NewClient("your-api-key")
    
    opportunities, err := client.Arbitrage.FindOpportunities(&terradev.OpportunitiesRequest{
        GPUType: "a100",
        MaxBudget: 5.0,
    })
    
    if err != nil {
        log.Fatal(err)
    }
    
    for _, opp := range opportunities {
        fmt.Printf("Provider: %s, Cost: $%.2f\n", opp.Provider, opp.Cost)
    }
}
```

### Webhook Integration

#### Setting Up Webhooks

1. Navigate to **Settings > Webhooks**
2. Click "Create Webhook"
3. Configure:
   - Endpoint URL
   - Event types
   - Secret key
   - Active status

#### Webhook Events

**Deployment Events:**
- `deployment.created`
- `deployment.started`
- `deployment.completed`
- `deployment.failed`

**Budget Events:**
- `budget.threshold_reached`
- `budget.exceeded`
- `budget.anomaly_detected`

**Opportunity Events:**
- `opportunity.available`
- `opportunity.expired`
- `opportunity.price_change`

#### Webhook Processing

```python
from flask import Flask, request, jsonify
import hashlib
import hmac

app = Flask(__name__)

@app.route('/webhook', methods=['POST'])
def webhook():
    # Verify webhook signature
    signature = request.headers.get('X-Terradev-Signature')
    payload = request.data
    
    expected_signature = hmac.new(
        b'your-webhook-secret',
        payload,
        hashlib.sha256
    ).hexdigest()
    
    if not hmac.compare_digest(signature, expected_signature):
        return jsonify({'error': 'Invalid signature'}), 401
    
    # Process webhook
    event = request.json
    event_type = event.get('event')
    
    if event_type == 'deployment.created':
        handle_deployment_created(event['data'])
    elif event_type == 'budget.exceeded':
        handle_budget_exceeded(event['data'])
    
    return jsonify({'status': 'processed'})
```

## Troubleshooting

### Common Issues

#### Deployment Failures

**Problem**: Deployment fails to start

**Solutions**:
1. Check cloud provider credentials
2. Verify region availability
3. Confirm instance type exists
4. Check quota limits
5. Review configuration syntax

**Problem**: High deployment costs

**Solutions**:
1. Enable spot pricing
2. Right-size instances
3. Use cost optimization recommendations
4. Set budget alerts
5. Review utilization metrics

#### API Issues

**Problem**: API rate limits exceeded

**Solutions**:
1. Implement exponential backoff
2. Use caching for repeated requests
3. Upgrade to higher tier
4. Optimize API calls
5. Use webhooks for real-time updates

**Problem**: Authentication failures

**Solutions**:
1. Verify API key validity
2. Check token expiration
3. Review permissions
4. Confirm endpoint URL
5. Check network connectivity

#### Performance Issues

**Problem**: Slow arbitrage analysis

**Solutions**:
1. Reduce analysis scope
2. Use cached results
3. Optimize query parameters
4. Implement parallel processing
5. Check network latency

### Debug Tools

#### API Testing

Use the built-in API tester in **Settings > API Test**:

**Features**:
- Endpoint testing
- Request/response inspection
- Authentication testing
- Rate limit monitoring

#### Log Analysis

**Deployment Logs**:
- Application logs
- System logs
- Error logs
- Performance logs

**System Logs**:
- API access logs
- Authentication logs
- Error tracking
- Performance metrics

#### Health Checks

**System Health**:
- API status
- Database connectivity
- Cloud provider status
- Service dependencies

**Performance Health**:
- Response times
- Error rates
- Resource utilization
- Queue depths

### Support Resources

#### Documentation

- [API Documentation](https://docs.terradev.io/api)
- [SDK Documentation](https://docs.terradev.io/sdk)
- [Troubleshooting Guide](https://docs.terradev.io/troubleshooting)
- [Best Practices](https://docs.terradev.io/best-practices)

#### Community

- [Discord Community](https://discord.gg/terradev)
- [GitHub Discussions](https://github.com/terradev/discussions)
- [Stack Overflow](https://stackoverflow.com/questions/tagged/terradev)
- [Reddit Community](https://reddit.com/r/terradev)

#### Support Channels

- **Email Support**: support@terradev.io
- **Priority Support**: Paid tier customers
- **Enterprise Support**: Dedicated account manager
- **Emergency Support**: 24/7 for critical issues

## Best Practices

### Cost Optimization

#### Spot Instance Strategy

**Best Practices**:
1. Always use spot pricing for non-critical workloads
2. Implement checkpointing for long-running jobs
3. Use multiple regions for availability
4. Set up automated migration
5. Monitor spot interruption notices

**Implementation**:
```python
# Configure spot instance with fallback
deployment_config = {
    "spot_price": True,
    "fallback_on_demand": True,
    "checkpoint_interval": 300,  # 5 minutes
    "intolerance": "low"
}
```

#### Right-Sizing

**Guidelines**:
1. Monitor GPU utilization regularly
2. Scale down underutilized instances
3. Use appropriate instance types
4. Consider GPU memory requirements
5. Optimize batch sizes

#### Budget Management

**Strategies**:
1. Set conservative budget limits
2. Use multiple alert thresholds
3. Implement automated cost controls
4. Review spending regularly
5. Optimize provider mix

### Risk Management

#### Diversification

**Provider Diversification**:
- Use 2-3 providers simultaneously
- Geographic distribution
- Different instance types
- Avoid single provider dependency

**Temporal Diversification**:
- Stagger deployment times
- Avoid market timing
- Use dollar-cost averaging
- Implement systematic rebalancing

#### Risk Monitoring

**Key Metrics to Monitor**:
1. Daily price volatility
2. Provider reliability metrics
3. Cost variance
4. Performance consistency
5. Market correlation

**Alert Thresholds**:
- Volatility > 20% daily
- Provider downtime > 5%
- Cost variance > 15%
- Performance degradation > 10%

### Performance Optimization

#### API Usage

**Efficient API Usage**:
1. Use appropriate caching
2. Batch requests when possible
3. Implement exponential backoff
4. Monitor rate limits
5. Use webhooks for real-time updates

#### Deployment Optimization

**Performance Best Practices**:
1. Optimize Docker images
2. Use appropriate resource allocation
3. Implement health checks
4. Monitor performance metrics
5. Use auto-scaling when appropriate

### Security

#### API Security

**Security Practices**:
1. Use HTTPS for all API calls
2. Rotate API keys regularly
3. Implement least privilege access
4. Monitor API usage
5. Use IP whitelisting when possible

#### Data Protection

**Data Security**:
1. Encrypt sensitive data
2. Use secure credential storage
3. Implement access controls
4. Regular security audits
5. Compliance with regulations

### Automation

#### Workflow Automation

**Automated Processes**:
1. Daily cost monitoring
2. Opportunity scanning
3. Budget alerting
4. Performance optimization
5. Risk assessment

#### Integration Automation

**CI/CD Integration**:
1. Automated deployment testing
2. Cost validation in pipelines
3. Performance monitoring
4. Security scanning
5. Compliance checking

This comprehensive user guide covers all aspects of using Terradev effectively, from basic setup to advanced optimization strategies. Users can refer to specific sections based on their needs and expertise level.
