
Why We're Moving to Account-Based Pricing
Defang plans are now based on the number of cloud accounts you deploy into, not the number of people using Defang. Here's why account-based pricing better reflects how teams—and AI agents—build today.
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Defang plans are now based on the number of cloud accounts you deploy into, not the number of people using Defang. Here's why account-based pricing better reflects how teams—and AI agents—build today.

We're open-sourcing the per-cloud Pulumi providers that power Defang's deployment system and adding Azure to the supported set. One Compose file, one command, any customer's cloud — including managed LLMs, databases, and Redis mapped automatically.

The Defang Portal now includes an AI-powered Compose file generator. Point it at a GitHub repo, and an agent analyzes your code, reads your dependencies, and produces a production-ready compose.yaml. You can also watch the work happen in real time.

Learn about n8n, how it's revolutionizing AI, and how to deploy it securely to your AWS account in 5min.

If you want people to adopt your AI product, the deployment story has to be as strong as the features. Over the past few decades, the software industry has gone through multiple major transitions. Let's talk about them.

Catch up with Defang’s August 2025 update: new Heroku migration flow, MCP BYOC prompts for AWS/GCP deployment, and refined Railpack support on GCP.

Deploy full-stack agentic AI apps with ease. Defang handles compute, databases, caching, LLMs, security & cloud quirks—no YAML or Terraform needed.

See what’s new in Defang’s July 2025 update: Railpack integration, cost estimation support for GCP, managed MongoDB on GCP, and an Agentic LangGraph sample.

Discover how Defang enables “Vibe Deploy”: send a natural-language prompt from your IDE, and Defang deploys your project to the cloud reliably and instantly.

March saw support for managed LLMs, release of Defang Pulumi Provider v1, autoscaling features, smarter CLI, and networking cost improvements.

Learn how Defang lets you build and deploy MCP-based AI apps from Docker to the cloud (AWS, GCP, DigitalOcean) with ease.

This January, Defang added full GCP support, self-deployed its infrastructure with Defang, launched Campus Advocate Program, and published MCP samples.