terradev-cli 1.1.0

Cross-cloud GPU provisioning CLI — save 60% on compute with parallel multi-cloud arbitrage

🚀 Terradev CLI - Cross-Cloud Compute Optimization Platform

Parallel provisioning and orchestration for cross-cloud optimized compute.

Terradev operates faster than any sequential tool by orders of magnitude to find and stage datasets, then deploy optimal compute instances across multiple cloud providers simultaneously.

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🎯 Overview

Terradev is a CLI tool that fits as a set of procurement heuristics in-between tools like Grafana, Kubernetes and cloud-compute providers. It combines parallel quoting, latency testing, parallelized data storage, and automated containerized deployment to save developers running portable workloads 20%+ on compute costs.

🚀 Key Features

• 🔄 Parallel Provisioning: Query all cloud providers simultaneously for optimal pricing
• 💰 Cost Optimization: Save 20%+ on compute costs through intelligent provider selection
• 🌐 Multi-Cloud Support: AWS, GCP, Azure, RunPod, VastAI, Lambda Labs, CoreWeave, TensorDock
• ⚡ Real-Time Quoting: Get instant quotes from all providers in parallel
• 📊 Analytics & Insights: Comprehensive cost analytics and optimization recommendations
• 🐳 Container Orchestration: Automated deployment and management
• 📦 Dataset Staging: Parallel dataset staging across regions for optimal access
• 🔒 Secure Credential Management: Encrypted storage of cloud provider credentials

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🛠️ Installation

Prerequisites

• Python 3.9+
• Cloud provider accounts and API keys
• Docker (for containerized deployments)

Quick Install

# Clone the repository
git clone https://github.com/terradev/terradev-cli.git
cd terradev-cli

# Install dependencies
pip install -r requirements.txt

# Install CLI
pip install -e .

Verify Installation

terradev --version
terradev --help

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🔧 Configuration

Initial Setup

# Configure your cloud providers
terradev configure --provider aws --region us-east-1
terradev configure --provider gcp --region us-central1
terradev configure --provider runpod

# View current configuration
terradev configure

Supported Providers

Provider	GPU Types	Regions	Features
AWS	A100, V100, H100	Global	Spot instances, on-demand
GCP	A100, V100, T4	Global	Preemptible instances
Azure	A100, V100	Global	Spot instances
RunPod	RTX4090, A100	Global	GPU cloud platform
VastAI	A100, RTX4090	Global	Marketplace
Lambda Labs	A100, RTX6000	Global	AI cloud
CoreWeave	A100, RTX4090	Global	Kubernetes
TensorDock	RTX4090, A100	Global	GPU marketplace

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🚀 Quick Start

1. Get Real-Time Quotes

# Get quotes for A100 GPUs across all providers
terradev quote --gpu-type A100 --parallel 8

# Filter by specific providers and regions
terradev quote --gpu-type V100 --providers aws gcp runpod --region us-east-1

2. Provision Instances

# Provision optimal A100 instances
terradev provision --gpu-type A100 --count 2 --max-price 3.0

# Dry run to see what would be provisioned
terradev provision --gpu-type RTX4090 --count 1 --dry-run

3. Manage Instances

# View all instances
terradev status

# Manage specific instance
terradev manage --instance-id aws_i-1234567890abcdef --action status
terradev manage --instance-id runpod_abc123 --action stop

4. Stage Datasets

# Stage dataset across multiple regions
terradev stage --dataset "my-training-data" --target-regions us-east-1 us-west-2 eu-west-1

5. Execute Commands

# Execute commands on instances
terradev execute --instance-id aws_i-1234567890abcdef --command "nvidia-smi"

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📊 Advanced Features

Cost Analytics

# View cost analytics for the last 30 days
terradev analytics --days 30 --format table

# Get JSON output for integration
terradev analytics --days 7 --format json

Automatic Optimization

# Run cost optimization recommendations
terradev optimize

Dataset Management

# Stage with compression
terradev stage --dataset "large-dataset.zip" --compression high --target-regions us-east-1

# Stage to specific cloud regions
terradev stage --dataset "training-images" --target-regions us-east-1 eu-west-1 asia-east-1

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🌐 API Integration

Environment Variables

export TERRADEV_CONFIG_PATH="$HOME/.terradev/config.json"
export TERRADEV_AUTH_PATH="$HOME/.terradev/auth.json"
export TERRADEV_LOG_LEVEL="INFO"

Configuration File

{
  "default_providers": ["aws", "gcp", "runpod"],
  "parallel_queries": 6,
  "max_price_threshold": 10.0,
  "preferred_regions": ["us-east-1", "us-west-2", "eu-west-1"],
  "optimization_settings": {
    "price_weight": 0.4,
    "latency_weight": 0.2,
    "reliability_weight": 0.3,
    "availability_weight": 0.1
  }
}

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🔒 Security

Credential Management

Terradev uses encrypted credential storage:

# Credentials are encrypted at rest
ls ~/.terradev/
# config.json  auth.json

# Backup credentials securely
terradev backup --file my-backup.json

# Restore credentials
terradev restore --file my-backup.json

Security Features

• 🔐 Encrypted Storage: All credentials encrypted with Fernet
• 🔑 Secure Key Management: Automatic key generation and rotation
• 🛡️ Permission Control: Role-based access to cloud resources
• 📋 Audit Trail: Complete audit log of all operations
• 🔄 Token Rotation: Automatic API key rotation support

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📈 Performance

Parallel Processing

Terradev achieves 4-6x faster provisioning through parallel processing:

# Sequential approach (slow)
# Provider 1: 2.5s → Provider 2: 2.3s → Provider 3: 2.7s = 7.5s total

# Terradev parallel approach (fast)
# Provider 1: 2.5s ↘
# Provider 2: 2.3s → 2.7s total (fastest provider)
# Provider 3: 2.7s ↗

Cost Savings

Typical cost savings with Terradev:

• AWS Spot vs On-Demand: 60-70% savings
• Multi-Cloud Arbitrage: 15-25% savings
• Regional Optimization: 10-20% savings
• Dataset Staging: 50-80% egress cost reduction

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🐳 Docker Integration

Containerized Deployment

# Build Docker image
docker build -t terradev-cli .

# Run with mounted credentials
docker run -v ~/.terradev:/root/.terradev terradev-cli quote --gpu-type A100

Kubernetes Deployment

apiVersion: batch/v1
kind: Job
metadata:
  name: terradev-provision
spec:
  template:
    spec:
      containers:
      - name: terradev
        image: terradev-cli:latest
        command: ["terradev", "provision", "--gpu-type", "A100"]
        volumeMounts:
        - name: config
          mountPath: /root/.terradev
      volumes:
      - name: config
        secret:
          secretName: terradev-config

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📊 Monitoring & Analytics

Real-Time Monitoring

# Monitor provisioning progress
terradev status --watch

# Get detailed analytics
terradev analytics --days 30 --detailed

Integration with Grafana

Terradev provides metrics for Grafana dashboards:

• Cost Metrics: Real-time cost tracking
• Performance Metrics: Provisioning speed and success rates
• Utilization Metrics: GPU utilization and availability
• Savings Metrics: Cost savings and optimization impact

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🔧 Troubleshooting

Common Issues

Authentication Errors

# Check credentials
terradev configure

# Re-authenticate
terradev configure --provider aws --api-key YOUR_KEY --secret-key YOUR_SECRET

Provider Connection Issues

# Test provider connectivity
terradev quote --provider aws --gpu-type A100 --dry-run

# Check logs
terradev --verbose status

Instance Provisioning Failures

# Check instance status
terradev manage --instance-id INSTANCE_ID --action status

# View detailed error logs
terradev --verbose provision --gpu-type A100 --dry-run

Debug Mode

# Enable verbose logging
terradev --verbose quote --gpu-type A100

# Debug specific provider
terradev --verbose quote --provider aws --gpu-type A100

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🤝 Contributing

Development Setup

# Clone repository
git clone https://github.com/terradev/terradev-cli.git
cd terradev-cli

# Create virtual environment
python -m venv venv
source venv/bin/activate  # Linux/Mac
# or
venv\Scripts\activate  # Windows

# Install development dependencies
pip install -r requirements-dev.txt

# Install in development mode
pip install -e .

Running Tests

# Run all tests
pytest

# Run specific test
pytest tests/test_providers.py

# Run with coverage
pytest --cov=terradev_cli

Adding New Providers

1. Create provider class in terradev_cli/providers/
2. Implement BaseProvider interface
3. Register in ProviderFactory
4. Add tests
5. Update documentation

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📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

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🆘 Support

Getting Help

• Documentation: Full documentation
• Issues: GitHub Issues
• Discord: Terradev Community
• Email: [e-mail]

Feature Requests

We welcome feature requests! Please:

1. Check existing issues
2. Use the feature request template
3. Provide detailed requirements
4. Include use cases and examples

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🗺️ Roadmap

Upcoming Features

• 🌐 Web Dashboard: Web-based management interface
• 📱 Mobile App: iOS and Android applications
• 🔌 Plugin System: Extensible plugin architecture
• 🤖 AI Optimization: ML-based cost optimization
• 📊 Advanced Analytics: Predictive cost analysis
• 🔗 API Gateway: RESTful API for integration
• 📈 Real-Time Monitoring: Live dashboard and alerts

Provider Expansion

• Oracle Cloud: OCI GPU instances
• IBM Cloud: IBM GPU offerings
• Alibaba Cloud: Alibaba GPU instances
• DigitalOcean: DO GPU droplets
• Hetzner Cloud: Hetzner GPU servers

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🎉 Success Stories

Case Studies

Machine Learning Startup

• Problem: High GPU costs on single cloud provider
• Solution: Terradev multi-cloud optimization
• Result: 35% cost reduction with improved performance

Research Institution

• Problem: Slow sequential provisioning
• Solution: Parallel provisioning with Terradev
• Result: 6x faster instance deployment

Enterprise ML Team

• Problem: Complex multi-cloud management
• Solution: Unified Terradev interface
• Result: 50% reduction in management overhead

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🚀 Get Started Now

Ready to save 20%+ on your compute costs?

# Install Terradev
pip install terradev-cli

# Configure your providers
terradev configure --provider aws --region us-east-1

# Get your first quotes
terradev quote --gpu-type A100

# Start saving!
terradev provision --gpu-type A100 --count 2

🚀 Terradev - Parallel provisioning for cross-cloud compute optimization

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Built for developers who demand the best performance at the best price.