Deployments made easy

You build the product.We manage the infrastructure.

Deploy your apps and databases in one place. We handle the infrastructure so you can focus on building.

Start deploying
Ask AI
Your cloud
  • AWS
  • GCP
  • Azure
  • Hetzner
  • DigitalOcean

+ dFlow compute · VPS · on-prem

dflow
hub
  1. 01Dashboardthe same UI
  2. 02Gitpush to your node
  3. 03EditorMCP over OAuth

on the node bound to the environment

Your editor
  • Antigravity
  • Cursor
  • Claude Code
  • Codex
  • GitHub Copilot

MCP over OAuth

Your stack
  • Postgres
  • MySQL
  • n8n
  • WordPress
  • Redis

+ any Docker image · templates

Platform

What you get.

Deploy and manage your applications, databases, and templates with ease. You can always ask your AI agent to handle it for you.

appsApp hostingDeploy apps. We handle the infrastructure.pushdetectbuildrundatabasesDatabasesDeploy databases. We keep them running.PostgresMongoDBRedis+3templatesTemplatesStart from a working stack. Skip the setup.Payloadn8nWordPressaiAI workflowAsk your AI agent to handle it.inspectlogsdeploy
workspace · product · apps
ready

Deploy apps. We handle the infrastructure.

From code to production

pushdetectbuildrun
serviceapp running
machineready
httpson

Push your repo. We take the path from build to a running production app.

App hosting

How it works

Connect your repository. And start shipping.

Just attach your repo, we handle everything from CI/CD to production-ready deployments, including custom domain support.

See how it is built
Run order · 3 stations
live
  1. 01

    Bring

    Connect the repository you already have

    Attach Git, or bring a Docker image, a zip, or a folder. We take it from there.

    repo attached

    or zip
    sourcelinked
    detectready
  2. 02

    Prepare

    We handle the path to production

    CI, the build, and the first production deploy happen for you.

    ci · build · release

    runtimevarsdata
    Build72%
    machine ready
    varsset
    imagebuilt
  3. 03

    Run

    Stay live with your own domain

    Custom domains, HTTPS, logs, and deploys stay on the same app.

    https · custom domain

    domainstorefront.up.dflow.sh
    httpslive
    logsstreaming
    deploys12

Compute

No vendor lock-in.

You have full control over your infrastructure choices; take advantage of your cloud credits or bare metal. We also provide affordable compute and credit options from various cloud providers.

See how compute works
dFlow servers
Affordable compute
plans

We set up the machine. Same dashboard, same deploys.

starterproscale
Ready100%
dashboardsame
deployssame steps

same deploy steps

Your Azure account
Use your credits

Run on the Azure account and credits you already pay for.

connectyour account
statuslive
Your own machine
Bare metal or VPS

Any VPS, cloud box, or server you already have.

SSHTailscaleVPSon-prem

Connect now · full setup later

  • AWS
  • GCP
  • DigitalOcean

What are you building?

Whatever you are building.

The workflow remains consistent; whether you're deploying a Web App, API, Database, or Open-Source Template.

Browse use cases
same path · every workload
1/6

shop

Web apps

A web app on the same deploy path, with your domain and HTTPS.

Open this use case
storefront.up.dflow.sh
previewlive
httpson
serviceshop

AI workflow

Ship from the editor you already use.

Type in Cursor or Claude. Your editor checks the deploy, reads the logs, and ships the next change.

Open the workflow
in your editor
connected
CursorClaude CodeGitHub CopilotCodexAntigravity

You type this

Inspect the shop deploy on prod, review the logs, and tell me the root cause.

Your editor does this

  1. 01Check the deployshop is live
  2. 02Read the logsroot cause found
  3. 03Ship the next changestorefront.up.dflow.sh

FAQ

Frequently asked questions

How you deploy, where it runs, and what your editor can do.

Can't find what you're looking for? Contact our customer support team

ready

Build the product. We manage the infrastructure.

AppsDatabasesTemplatesAI

Deploy the app. Deploy the database. Start from a template. Or ask your AI agent.

Start deploying