Defang

What is Defang?

Defang simplifies cloud application deployment by converting Docker Compose configurations into production-ready environments across major cloud providers. It automates infrastructure setup including networking, security, and observability, allowing developers to focus on building their apps. Defang supports any language or framework that runs in Docker, offers managed storage options, and provides an AI-powered assistant to generate project outlines and assist in debugging. Its multi-cloud support and cost-efficient resource management make it suitable for a wide range of applications from simple web services to complex machine learning workloads.

Key Features

• One-Command Deployment

  Deploy any Compose-compatible project to cloud environments like AWS, GCP, or DigitalOcean with a single command.

• Built-in AI Assistance

  AI agent generates project starters from natural language prompts and helps debug deployed applications by analyzing logs and code.

• Multi-Cloud and Multi-Environment Support

  Deploy across multiple clouds and environments such as development, staging, and production with seamless environment control.

• Secure and Cost-Efficient Infrastructure

  Automatic configuration of networking, security groups, and roles ensures secure-by-default deployments while optimizing cloud costs using spot instances and autoscaling.

• Container and Docker Compose Friendly

  Supports automated Dockerfile builds, pre-built containers, and full Docker Compose YAML configuration compatibility.

• Managed Storage and Load Balancing

  Offers managed Postgres and Redis services alongside application load balancers for scalable and reliable deployments.

Use Cases

• Web Services and APIs : Easily deploy scalable, stateless web services and APIs using any programming language packaged in Docker.
• Mobile App Backends : Simplifies backend deployment for mobile applications, enabling developers without cloud expertise to provision infrastructure effortlessly.
• Machine Learning Services and LLM Hosting : Facilitates hosting of machine learning models, including large language models, with GPU support and managed infrastructure.
• Rapid Prototyping and Production Scaling : Ideal for quickly moving from local Docker Compose development to production-ready cloud deployments without complex setup.
• Multi-Cloud Project Management : Supports managing multiple projects across different cloud providers with flexible environment configurations.

FAQs