Why compose-native shortens the work
Dokploy treats a Docker Compose file as the deployable unit rather than as an import format to be translated into an internal model. If your local development already runs on composed containers, the definition you have tested is the definition that deploys, and the migration reduces to provisioning a server and pointing the platform at your repository. That is a materially shorter path than any migration requiring you to describe your application again in a new vocabulary.
What it costs
Self-hosting is free, and the project describes itself as a free, self-hostable platform as a service. The hosted option is listed at $4.50 a month per server on the Hobby tier, with Startup beginning at $15 a month including three servers and additional servers at the same $4.50, and a 20% discount for annual billing. Either way the cost is a function of how many machines you run, not of how much traffic they serve, which is the property you are migrating to obtain.
The licence detail worth two minutes
The repository carries an open licence file alongside a proprietary one. This is a normal shape for an open-source project with a commercial offering and it is not a reason for concern, but if you intend to build a business process on one specific capability, read which file covers that capability before you depend on it. Two minutes now beats a discovery later, and stating this plainly is more useful than pretending the project is uniformly licensed.
Provisioning and the first deploy
Install on a server, connect your Git provider, and create an application pointing at your repository and compose file. Environment variables are set per application, and the built-in Traefik proxy handles routing and certificate issuance. Services declared in your compose file, databases, caches, workers, come up alongside the application rather than needing separate provisioning, which is the practical benefit of the compose-native model.
Preparing a Next.js application
The same three preparations apply as for any self-hosted deployment: emit standalone output so the runtime image stays small, make sure the image optimization library is present in the image or disable optimization deliberately, and give incremental regeneration a shared cache if you intend to run more than one instance. None is difficult, and all three are easier to handle now than to diagnose in production.
Adding the second machine
The step from one server to several is usually where self-hosting stops being pleasant, and it is where this platform is strongest. Attach additional machines and place services across them from the same interface, without adopting a full orchestration platform and its vocabulary. This covers the large middle ground between one box and a cluster, which is where a great many growing applications actually live and where the tooling has historically been worst.
The routing layer is visible on purpose
Traefik configuration is surfaced rather than hidden, which is the right default for this audience: teams who want their compose file to be the source of truth generally also want to see how requests are being routed. Expect to spend a little time in it, and treat that as a feature rather than a gap, a routing layer you can read is a routing layer you can debug at an inconvenient hour.
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