
Deploying Agentic Apps to the Cloud Shouldn’t Be This Hard…
Deploy full-stack agentic AI apps with ease. Defang handles compute, databases, caching, LLMs, security & cloud quirks—no YAML or Terraform needed.
Curated guides, tutorials, and updates for this topic.

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.

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.
