deploy any app or agentic framework to your or your client's cloud with one command: defang compose up what are you building?

How Defang Handles Security Defang follows a strict least-privilege model. Each service gets only the permissions it needs, nothing more. Roles are created per service, with tightly scoped policies attached. Deployments run in private subnets with Security Groups configured for

Defang allows you to run one-off jobs during your deployment workflow, such as database migrations, cache warmers, or setup scripts. These jobs run once, and if they fail, the entire deployment stops to prevent inconsistent states. To control when these jobs execute, you can use

Have a Docker compose.yaml? Authenticate your cloud account, then run: defang compose up --provider=aws Or switch out aws for gcp or digitalocean if that's what you use. Defang provisions the resources and deploys your services, all in your own account. Check out

Defang extends the Docker Compose networking model directly into your cloud provider, giving you a simple and predictable way to connect services, databases, and internal components at scale. By default, Defang configures secure networking and security groups, provisions load

Evals + Observability, Agent deployments, and AI News

@mastra Here's the direct link to the Defang section:

Defang is designed around the core principles of the Twelve-Factor App. Services run as stateless processes, configuration is stored in the environment, and backing services like databases or caches are treated as external resources. This approach ensures portability across

Just showed how to deploy a @mastra agent to production in literally one command on their podcast 🚀 (Jump to 1:27:00) No Docker configs. No Kubernetes YAML. No three-day AWS setup. Just 'defang compose up' and your agent is live. The Mastra team actually seemed surprised it

Most startups fail because they never ship. Not because the idea was bad. Not because the code was broken. Because getting from "works on localhost" to "live in production" felt impossible. The deployment gap is killing more products than bad product-market fit.

Thanks to the @mastra team for having us!

Come listen to us live as we talk to the Mastra team about deploying agents to the cloud! #mastra #cloud #agents #ai https://t.co/kb55tNCkKB

The Defang Model Context Protocol (MCP) Server connects Defang to your IDE, allowing your AI coding agent to deploy and manage cloud services directly from your editor. Once configured, your IDE can run tasks such as deploying services, listing active deployments, estimating

What side project are you deploying this Saturday? #programming

Wiring logs shouldn’t be a whole project. With Defang: * `defang compose up` streams build + runtime logs right away * Or jump into `defang tail --name my-service` (and even filter by `--etag` for a specific build) Deploy first, *then* decide if you ever want to open your

Wiring logs shouldn’t be a whole project. With Defang: * `defang compose up` streams build + runtime logs right away * Or jump into `defang tail --name my-service` (and even filter by `--etag` for a specific build) Deploy first, *then* decide if you ever want to open your

What is Defang? Think of it as the deployment platform that actually gets out of your way. Not quite PaaS. Not quite a cloud provider. Something better. We take your app from working locally to running in production on AWS or Google Cloud - without making you become a DevOps

Keep shipping. Everything else is just setup. https://t.co/mmEahDP4V1

TL;DR: 1. Build agent with LangChain (10 lines) 2. Wrap in Flask API 3. Containerize with Docker 4. Define services in compose.yaml 5. Run: defang --provider=aws compose up No infrastructure expertise needed. Agents in production in minutes. 🔗 https://t.co/yd8O99pfls 🔗