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Defang is a deployment platform that enables developers to deploy AI applications to any cloud account (AWS, GCP, or Azure) using a single Docker Compose file. Built by Defang Labs, it solves the complexity of configuring cloud infrastructure for AI workloads, including managed access to AI services like Bedrock, Vertex AI, and Azure AI. Core capabilities include automatic provisioning of ECS/Cloud Run/ACA clusters, per-service IAM roles, private VPCs, load balancers, TLS, secrets management, and auto-scaling. It supports any AI framework such as CrewAI, LangGraph, AutoGen, and Strands. The tool is ideal for developers, freelancers, agencies, and companies that need to deploy AI agents into their own or their customers' cloud accounts with minimal effort. Defang emphasizes security by design, ensuring credentials never leave the user's machine and secrets are encrypted in the cloud.
4.5/5
High, consistent, and on-brand
Clean and minimal
Deploy AI applications to any cloud account using a single Docker Compose file.
Works with AWS, GCP, Azure, and any AI framework that runs in Docker Compose.
Freemium with paid tiers
Features with the highest value for users are highlighted here.
Single Compose file deployment to AWS, GCP, or Azure
Native integration with Bedrock, Vertex AI, and Azure AI
Managed Postgres, MongoDB, and Redis databases
Per-service least-privilege IAM roles
Automatic VPC, load balancer, and TLS configuration
Open source CLI and cloud providers
Supports any AI framework (CrewAI, LangGraph, etc.)
Deploy to any number of cloud accounts with one workflow
AI developers
Freelancers
Agencies
Startups
Enterprise teams
Data-conscious companies
Students
DevOps engineers
Product teams
Security-focused organizations
Free
Pro
Weekly intelligence on AI strategy, operations, and market shifts. No noise. No narrative. Direct to your inbox.
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