Dokploy vs Coolify: Choosing a Self-Hosting Platform
Both put a Heroku-style deploy UI on your own VPS, but on different container primitives. What that means for zero-downtime deploys, multi-server growth and the day the control plane breaks.
A Heroku-shaped dashboard over ordinary Docker containers.
Coolify is an open-source deployment platform you install on your own server. It connects to a git repository, builds an image, runs it as a Docker container and puts a reverse proxy in front. Databases, one-click services and scheduled backups are part of the package.
Its defining choice is the absence of an orchestrator. Applications are plain Docker containers, so the mental model you already have is the correct one, and during an incident you can keep a service alive by hand while you fix the dashboard.
Reach for Coolify when you are standing up many self-hosted services and want a
large template catalogue to do it from, or when you value being able to drop to
plain docker commands under pressure. Reach for a Swarm-based platform instead
when zero-downtime deploys are a requirement rather than a preference.
The default deployment stops the old container before starting the new one, so there is a short window — usually seconds — where requests fail. For an internal tool that is irrelevant. For a public API it is not, and it is the first thing to configure around.
The other thing to verify yourself is backups. Scheduled database backups to object storage are built in, and a misconfigured endpoint fails quietly often enough to matter. Trigger one by hand, confirm the object actually exists in the bucket, and restore it into a scratch database. Do that before you need it.
Coverage here is comparative rather than exhaustive: what Coolify does differently, and which of those differences should decide your choice.
Start here
Both put a Heroku-style deploy UI on your own VPS, but on different container primitives. What that means for zero-downtime deploys, multi-server growth and the day the control plane breaks.
A reading order that builds Coolify knowledge in the sequence it is actually needed.
Failure modes that come up repeatedly with Coolify, and where each one is solved.
Both put a Heroku-style deploy UI on your own VPS, but on different container primitives. What that means for zero-downtime deploys, multi-server growth and the day the control plane breaks.
Both put a Heroku-style deploy UI on your own VPS, but on different container primitives. What that means for zero-downtime deploys, multi-server growth and the day the control plane breaks.
Ordinary Docker containers. `docker ps`, `docker logs` and `docker inspect` all behave exactly as you expect, which makes incident debugging simpler than on a platform that adds an orchestration layer.
As independent hosts managed from one dashboard, rather than as a cluster. You place applications on specific servers yourself. There is no quorum to lose, and no scheduler to move workloads for you.
If your plan involves standing up a dozen open-source services, yes — it is a genuine time saving. If you are deploying one application from a Dockerfile, it makes no difference.