The Defang Blog

Learn why migrating from Heroku to AWS matters, the challenges involved, and how Defang’s CLI automates migration without code changes.

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.

Defang acts as your AI DevOps agent—deploy your app from code to live on AWS, GCP, or DigitalOcean with built-in scaling, security, and multi-cloud support.

Turn your Docker Compose file into a full GCP deployment using a single command. Defang handles compute, storage, networking, security, and auto-scaling.

The June/July 2025 Defang update: live AWS cost estimation, CrewAI + Defang starter kit, portal deployment info, VS Code extension, cross-cloud playground.

How Defang extends Docker Compose to cloud contexts. Deploy multi-service apps across AWS, GCP, DigitalOcean with one command and automated infrastructure.

Explore a production-grade starter kit combining CrewAI, Django & Celery for RAG + agents. Run locally, then deploy seamlessly via Defang to AWS or GCP.

Defang’s May 2025 update brings managed LLMs in the Playground, MongoDB support on AWS, enhancements to the MCP server/CLI, and fresh AI sample deployments.

In April 2025, Defang advanced its Model Context Protocol integrations, launched Vibe Deploying workflows, and added support for managed LLMs on GCP.