Defang Product Information

Defang is an AI-enabled deployment tool designed to simplify and secure the process of deploying applications to any cloud or environment. It turns Docker Compose projects into live deployments with a single command, automates failure detection and fixes suggestions through an AI agent, and supports a wide range of languages, frameworks, and cloud providers. The platform emphasizes speed, security, cost-efficiency, and scalability, making cloud deployments accessible for developers from hobby projects to production-grade apps.


How Defang Works

  1. Start your deployment your way: Choose a sample, start from scratch, or deploy your own app.
  2. Deploy with one-click: Turn any Compose-compatible project into a live deployment with a single command.
  3. AI-assisted debugging: The built-in AI agent automatically detects failures and proposes actionable fixes.
  4. Flexible environments: Deploy to development, staging, or production, and target multiple clouds (AWS, GCP, DigitalOcean, etc.).

What You Can Deploy

  • Any app that runs with Docker Compose
  • Static sites, backends, microservices, and complex architectures
  • Projects across different languages and frameworks
  • Cloud deployments across AWS, GCP, DigitalOcean, and more (Defang Playground available for learning)

How It Helps

  • Simple deployment workflow that reduces time-to-live for apps
  • Automatic failure detection and actionable remediation guidance
  • Production-ready defaults with secure-by-default networking, security groups, and roles
  • Cost-efficient infrastructure through smart resource allocation, spot instances, and scalable patterns
  • Load balancing, auto-scaling, and optional GPU support to grow with demand

Getting Started

  • Pick a Sample, Start from Scratch, or Deploy Your Own App
  • Deploy in one click to your preferred cloud
  • Use the AI-assisted tooling to debug and optimize
  • Manage environments (development, staging, production) and scale as needed

Pricing Tiers (Overview)

  • Defang Playground: Free for limited scale and features (limited projects, environments, and AI features).
  • Personal Deploy: $10 / user / month with BYOC cloud options and limited AI features.
  • Pro Deploy: $30 / user / month for multi-project, multi-cloud deployments with more robust features.
  • Enterprise: Coming soon with enhanced collaboration and control features for teams.

Community and Support

  • Join the Defang Discord community for real-time support and knowledge sharing.
  • Customer testimonials highlight ease of use, rapid deployments, and the reduction of Kubernetes complexity for deployments.

Core Features

  • One-command deployment for Compose-compatible projects
  • AI-enabled failure detection and fix suggestions
  • Deploy to development, staging, or production environments
  • Support for AWS, GCP, DigitalOcean, and more (Playground for learning)
  • Language- and framework-agnostic deployment (works with any app that runs on Docker)
  • Auto-scaling, load balancing, and GPU support for production workloads
  • Secure-by-default networking, security groups, and roles
  • Cost optimization through spot instances and efficient resource allocation
  • Preview and manage multiple projects across multiple clouds

What’s Included in the Documentation and Resources

  • Portal-based deployment workflow
  • Docker Compose deployment guides
  • Basic and advanced configuration options
  • Blog updates about feature releases and deployments
  • Community and enterprise resources

Legal and Compliance Notes

  • Deployments follow industry best practices for security and cloud compliance as reviewed by experts. Specific compliance requirements should be verified for enterprise use cases.

Quick Start Tips

  • Start with a sample project and deploy in one click to your cloud account.
  • Use the AI agent to debug common startup and runtime failures.
  • Leverage the Playground for experimentation without impacting production.

Safety and Usage Guidance

  • Use Defang for legitimate deployments and follow cloud provider terms of service.
  • Do not use AI-generated fixes in production without validation.