infradsl 0.1.1

Rails-like infrastructure management for AWS, Google Cloud, and DigitalOcean

InfraDSL - The Rails of Modern Infrastructure

"Infrastructure as simple as business logic"

InfraDSL brings Rails-like simplicity to cloud infrastructure management. Deploy production-ready applications to AWS, Google Cloud, and DigitalOcean with 95% less code than traditional tools. Currently, in active development. Any feedback is welcome!

🚀 Quick Start

Install

pip install infradsl

Deploy in 30 seconds

from infradsl import AWS, GoogleCloud, DigitalOcean

# Deploy a web server in one line
server = AWS.EC2("web-server").t3_micro().ubuntu().service("nginx").create()

# Container app to Google Cloud Run
app = GoogleCloud.CloudRun("my-app").container("webapp", "./src").public().create()

# Complete production stack
database = AWS.RDS("app-db").postgresql().production().create()
storage = AWS.S3("app-assets").website().public().create()
api = AWS.ECS("app-api").fargate().container("api:latest").create()

Result: Production infrastructure with auto-scaling, HTTPS, monitoring, and enterprise security.

🎯 Revolutionary Features

Cross-Cloud Magic

InfraDSL automatically selects optimal cloud providers per service based on cost, performance, and compliance:

from infradsl import InfraDSL

app = InfraDSL.Application("my-app")
    .auto_optimize()
    .database("postgresql")      # → GCP (best price/performance)
    .compute("web-servers")      # → AWS (best global coverage)
    .cdn("static-assets")        # → Cloudflare (best edge network)
    .storage("user-uploads")     # → DigitalOcean (best simplicity)
    .create()

Universal Provider Support

• AWS: EC2, ECS, RDS, S3, Lambda, CloudFront, Route53
• Google Cloud: GKE, Cloud Run, Compute Engine, Cloud SQL, Cloud Storage
• DigitalOcean: Droplets, Kubernetes, Databases, Spaces, Load Balancers
• Cloudflare: CDN, DNS, Workers, R2 Storage, SSL/TLS

CLI Commands

infradsl init my-project aws          # Initialize new project
infradsl preview main.py              # Preview changes
infradsl apply main.py                # Deploy infrastructure
infradsl destroy main.py              # Clean up resources
infradsl doctor                       # Check setup and diagnose issues

🔧 Setup & Authentication

AWS Credentials

# Via AWS CLI
aws configure

# Or environment variables
export AWS_ACCESS_KEY_ID=your_access_key
export AWS_SECRET_ACCESS_KEY=your_secret_key
export AWS_DEFAULT_REGION=us-east-1

Google Cloud Credentials

# Via gcloud CLI
gcloud auth application-default login

# Or service account key
export GOOGLE_APPLICATION_CREDENTIALS=path/to/service-account.json

DigitalOcean Token

export DIGITALOCEAN_TOKEN=your_do_token

💻 Usage Examples

AWS Infrastructure

from infradsl import AWS

# Simple web server
server = AWS.EC2("web-server").t3_micro().ubuntu().create()

# Production API with load balancer
api = (AWS.ECS("production-api")
    .fargate()
    .container("api:latest")
    .auto_scale(min=2, max=50)
    .load_balancer()
    .create())

# Database with automated backups
db = (AWS.RDS("app-db")
    .postgresql()
    .production()
    .encrypted()
    .create())

Google Cloud

from infradsl import GoogleCloud

# Serverless container
app = (GoogleCloud.CloudRun("my-app")
    .container("webapp", "./src")
    .public()
    .create())

# Kubernetes cluster
cluster = (GoogleCloud.GKE("production")
    .location("us-central1")
    .auto_scale(min_nodes=3, max_nodes=20)
    .create())

DigitalOcean

from infradsl import DigitalOcean

# Simple droplet
droplet = (DigitalOcean.Droplet("web-server")
    .size("s-2vcpu-2gb")
    .region("nyc1")
    .create())

# Kubernetes cluster
cluster = (DigitalOcean.Kubernetes("app-cluster")
    .region("fra1")
    .nodes(3)
    .create())

🏗️ Key Benefits

95% Code Reduction

• Kubernetes YAML: 500+ lines → 1 line
• Terraform: 100+ lines → 1 line
• Docker Configuration: 50+ lines → 0 lines (automatic)

Developer Experience

• Time to Production: Days → Minutes
• Learning Curve: Weeks → 5 minutes
• Rails-like Simplicity: Intuitive, chainable API

Production Ready

• Security: Automatic best practices
• Auto-scaling: Built-in by default
• Monitoring: Enterprise-grade observability

🛣️ What's Next

• Template Marketplace: Reusable infrastructure patterns
• Cost Optimization: Automatic resource rightsizing
• Multi-Cloud Intelligence: Cross-provider optimization
• IDE Integration: VS Code and JetBrains extensions

📚 Documentation

Visit https://docs.infradsl.dev for complete documentation, tutorials, and examples.

🤝 Contributing

We welcome contributions! Check out our GitHub repository for issues and contribution guidelines.

---

Built with ❤️ for Engineers who want to ship, not configure infrastructure.