defang

defang

Defang is a deployment platform and open-source CLI that takes a Docker Compose file and deploys applications into any AWS, GCP, or Azure account with built-in AI infrastructure, managed databases, security, and observability—designed for developers, freelancers, agencies, and companies that must run AI where their data lives.

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Free
#69 in Developer Tools (69 tools)
Added 0 year ago
Data reviewed Jul 16, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

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Quick Overview

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What it does

Developer Tools software for decision-makers comparing workflow fit and alternatives.

Best fit

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Pricing snapshot

Free

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defang

Defang is a deployment platform and open-source CLI that deploys Docker Compose applications into any AWS, GCP, or Azure account while automatically configuring cloud infrastructure and AI access. It is aimed at developers, freelancers, agencies, and companies that need to run AI where the data lives — supporting Bedrock, Vertex AI, and Azure AI and managing infrastructure concerns such as databases, networking, IAM, secrets, load balancing, and observability.

The product emphasizes account-based deployments (your account, a client's account, or many customer accounts) with a single Compose file workflow, built-in security defaults (private VPCs, least-privilege IAM, encrypted secrets), and managed AI integrations so teams can ship agentic or LLM-enabled apps without writing Terraform or manually wiring cloud infra.

Defang simplifies cloud app development, deployment, and debugging with AI.

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Key Features

Deploy to any cloud account

Point Defang at an AWS, GCP, or Azure account (yours or a customer's) and it configures the required cloud infrastructure for the deployment.

Docker Compose-driven workflow

Bring a Docker Compose file and Defang will deploy the defined services across cloud providers without rewriting infra.

Native AI provider integrations

Built-in support for Bedrock, Vertex AI, and Azure AI to provide LLM access and AI infrastructure annotations directly from the Compose file.

Managed databases and caches

Can provision managed Postgres (e.g., pgvector), MongoDB, and Redis as annotated in the Compose file.

Security-by-default

Automatically configures private VPCs, locked-down security groups, per-service least-privilege IAM roles, and secrets stored encrypted in native secret managers.

Networking and TLS

Configures load balancers and TLS for deployed services.

Observability and autoscaling

Sets up logging, observability, and auto-scaling for deployed services.

Open-source CLI & providers

The CLI and cloud providers are open source so teams can inspect commands and audit deployments.

Pricing

Free Tier Available

Get Started Free (site shows a 'Get Started Free' call-to-action)

Use Cases

Deploy to your own cloud

Developers or companies deploy to their own AWS, GCP, or Azure accounts to control infra, billing, and data while using the same workflow across environments.

Deploy to a client's cloud

Freelancers and agencies can deploy the same Compose file into a client's account so infra and data remain under the client's control.

Deploy to every customer's cloud

SaaS or agency teams can develop once and deploy the same Compose file across many customer accounts, managing the fleet from the Portal.

AI-native application hosting

Ship AI agents and LLM-enabled apps that require local access to sensitive customer data using Bedrock, Vertex, or Azure AI integrations.

Full-stack app deployment with managed services

Deploy full-stack stacks (Django/FastAPI/Next.js) combined with managed Postgres, Redis, and LLM access without manual infra wiring.

Integrations

AWS Bedrock / Vertex AI / Azure AI

Provides LLM access and AI infrastructure integration via provider-native AI services.

Managed databases (Postgres, MongoDB) and Redis

Annotations in the Compose file enable provisioning and wiring of managed Postgres (pgvector), MongoDB, and Redis.

AI frameworks and agent libraries

Works with CrewAI, LangGraph, AutoGen, Strands and other agent/AI frameworks.

Docker Compose

Deploys any stack that runs via Docker Compose.

Benefits

Data sovereignty: deploys into the customer's cloud account so sensitive data never leaves their control.
Unified workflow: one Compose file works across multiple cloud accounts and providers with no Terraform rewrites.
Built-in security and compliance: automatic least-privilege IAM, private VPCs, encrypted secrets, and locked-down security groups.

Limitations

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Frequently Asked Questions

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Getting Started

  1. 1 Install the Defang CLI (open-source CLI and providers are available).
  2. 2 Prepare a Docker Compose file that declares services and Defang annotations (e.g., x-defang-llm, x-defang-postgres).
  3. 3 Point Defang at the Compose file and your cloud account and run the CLI (example: defang compose up).

Support

docs

Documentation available via the site ('Docs' link) for usage and samples.

community (Discord)

Join the community Discord for developer discussion, insights, and real-time support.

trust center

Trust Center and blog resources for security and product announcements.

API

Available: No

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