
Bring your Compose file. Deploy to your cloud account, or your customer's. Native Bedrock, Vertex AI, and Azure AI. No Terraform required.
40,000+ successful deployments
Point it at any AWS, GCP, or Azure account. Defang configures the infrastructure, including Bedrock, Vertex AI, or Azure AI if you need it.
services:app:build: ./appports:- "8000:8000"depends_on: [db, llm]db:image: pgvector/pgvector:pg16x-defang-postgres: true # Managed RDS/Cloud SQLllm:x-defang-llm: true # Bedrock, Vertex, or Azure AI
Defang configures
$ defang upThat's it.Deployment requirements are fundamentally different in the agentic era. Understand what changed and how Defang enables you to meet those requirements.
Works with any AI framework: CrewAI, LangGraph, AutoGen, Strands, and more.
The same Compose file deploys to your account, a client's account, or fifty customer accounts. The workflow doesn't change.
Ship to your own AWS, GCP, or Azure account. You control the infra, the bill, and the data. Use the same workflow for dev, staging, and production.
For developers shipping their own products
Try it free →Same Compose file, different cloud account. Compare costs across providers, deploy to a client's AWS or GCP, hand off the project with infra included.
For freelancers and agencies doing client work
Try it free →Develop once, deploy anywhere. The same Compose file works across every customer's account with no app changes. Manage the whole fleet from the Portal.
For companies with data-conscious customers
Try it free →AI agents need to run where the data lives: in your customer's cloud. Defang deploys your app into any account with security, compliance, and AI infrastructure handled automatically.
AI agents access your customer's most sensitive data: conversations, documents, decisions. Defang deploys into their cloud account so data never leaves their control.
One Compose file deploys to any customer's AWS or GCP account. No per-customer infra work, no Terraform rewrites.
IAM roles, private VPCs, encrypted secrets, and least-privilege policies, all configured automatically on every deployment.
LLM access via Bedrock or Vertex AI, GPU instances, and managed Postgres, MongoDB, and Redis. Each just one annotation in your Compose file.
AI agents, web apps, APIs. If it runs in Docker Compose, it deploys with Defang. Here are some popular combinations from our 80+ samples.
You don't have to trust Defang with your data. The architecture means Defang never sees it.
The CLI uses your local AWS, GCP, or Azure SDK. Defang's servers never see your cloud credentials. Not even temporarily.
Stored in your cloud's native secret manager: SSM, GCP Secret Manager, or Azure Key Vault. Defang cannot decrypt them.
Each service gets its own IAM role with only the permissions it needs. No shared roles. Locked-down security groups by default.
The CLI and cloud providers are open source. Inspect every command, audit every deployment, and verify exactly what runs in your account.
Point Defang at your Compose file and your cloud account. It handles the rest.
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I had an amazing time working with Defang’s web hosting technology and learning about web deployment at StormHacks2024 hackathon.
WTF, It’s revolutionary
Woooo 🥳! Thank you Defang Labs, for making web app deployment more accessible ❤!
What a relief to be able to just deploy containers with Defang and not deal with the over-engineered monstrosity that is Kubernetes.
What sorcery is this? I can hardly believe how amazing this is!
As a student with limited production environment experience, I recently completed my first full-stack AI project deployment using Defang, and I was thoroughly impressed by the experience.
With Defang we were able to deploy our application within our own AWS account in under an hour.
The AI integration is amazing

I had an amazing time working with Defang’s web hosting technology and learning about web deployment at StormHacks2024 hackathon.
WTF, It’s revolutionary
Woooo 🥳! Thank you Defang Labs, for making web app deployment more accessible ❤!
What a relief to be able to just deploy containers with Defang and not deal with the over-engineered monstrosity that is Kubernetes.
What sorcery is this? I can hardly believe how amazing this is!
As a student with limited production environment experience, I recently completed my first full-stack AI project deployment using Defang, and I was thoroughly impressed by the experience.
With Defang we were able to deploy our application within our own AWS account in under an hour.
The AI integration is amazing