Defang
Radically simpler platform for deploying Docker Compose apps to the cloud.
What is Defang?
Defang is a radically simpler cloud deployment platform that allows developers to take their applications from Docker Compose to a secure and scalable production environment in minutes. Serving as an excellent alternative to Netlify deploy free tiers or complex systems like Kubernetes, Defang makes it easy to host Flask app for free or handle a free deploy Django project. The platform features an AI-enabled tool that streamlines cloud infrastructure, making it a go-to tool for deploying modern frameworks like CrewAI, LangGraph, and LangChain, or setting up a local development environment with an MCP server.
Best Defang use cases by task, role, industry, and platform
These use cases show where Defang fits best, ranked by fit score before popularity or pricing.
Defang Pricing Plans
Compare Defang free options, Defang paid pricing plans, and usage notes before you choose the best way to use this AI tool in 2026.
Free, Pro from $10/mo
Deploy hackathon/hobby projects to Defang Playground. Max 1 project x 1 environment, max 4 services, 1 GB memory, 1 vCPU, ephemeral Postgres/Redis, data may be used for AI training. Paused after 1 week of inactivity.
Deploy side-hustle applications to your own cloud account (BYOC - 1 cloud). Max 1 project x 3 environments, container service with spot instances only, managed Postgres/Redis, apex domain support, data not used for AI training.
Great for production use in startups. Defang Playground + BYOC (2 clouds), max 10 projects x 3 environments, container service with GPUs, Autoscaling, On-demand instances, managed Postgres/Redis, generate + debug with large AI models.
Collaboration and control features specifically targeted for enterprise use cases with enterprise-grade support.
Pricing updated:Jun 12, 2026
Defang AI Features
Defang Pros and Cons
Pros
- Secure by default with automatic networking, roles, and security groups configuration
- Cost-effective infrastructure utilizing spot instances and smart resource allocation
- Avoids the over-engineered complexity of Kubernetes
- Provides AI-driven generation and debugging assistants
Limitations
- Free playground projects are paused after 1 week of inactivity
- Hobby/Playground tier features ephemeral Postgres and Redis databases
- Advanced enterprise collaboration tools are still marked as coming soon