Get Stacknaut
Technology Comparisons

Kamal vs Coolify

Both tools help you deploy to your own servers. Kamal is a CLI deployment tool. Coolify is a self-hosted PaaS. They solve the same problem differently.

Quick Comparison

Kamal Coolify
What it is CLI deployment tool Self-hosted PaaS
Built by 37signals (Basecamp, HEY) Community / open-source
Interface Command line Web dashboard
Configuration YAML file in your repo Web UI + environment config
Zero-downtime Yes Yes
Docker-based Yes Yes
Multi-server Yes Yes
SSL Via Kamal Proxy Via Traefik or Caddy
Database management Accessories (Docker containers) Built-in provisioning
Language Ruby PHP (Laravel)

The Core Difference

Kamal is a deployment tool, not a platform. It takes your Docker containers and deploys them to servers via SSH. Your config lives in your repo as a YAML file. You run kamal deploy and it handles building images, pushing to a registry, and rolling out with zero downtime.

It's built by 37signals — the company behind Basecamp and HEY. They've been shipping production software for over 25 years. Kamal is extracted from how they deploy their own products. Opinionated, minimal, does one thing well.

Coolify is a self-hosted alternative to Vercel and Heroku. It gives you a web dashboard where you connect Git repos, configure environments, and deploy with a click. It manages databases, SSL, and reverse proxying through its UI.

Coolify aims to be everything: PaaS, database manager, SSL provider, monitoring — all in a web interface you host yourself.

Configuration

With Kamal, your deployment config is a deploy.yml in your repo:

service: myapp
image: myapp
servers:
  web: 192.168.1.1
  job:
    hosts: 192.168.1.1
    cmd: bin/jobs

Version-controlled, reviewable, reproducible. Clone the repo, run kamal deploy. The configuration is code.

With Coolify, configuration lives in its dashboard. You connect a Git repo, configure build settings and environment variables through the UI. The configuration exists in Coolify's database, not in your repo.

I prefer config-as-code. It's more portable and auditable.

Database Management

Coolify can provision databases through its UI — PostgreSQL, MySQL, Redis, MongoDB. Click a button, get a database. It handles backups, updates, and connection strings.

Kamal treats databases as "accessories" — Docker containers defined in your deploy config. You define them in YAML, and Kamal manages their lifecycle alongside your app. Less automated, but everything stays in your deploy configuration.

When Things Break

When deployment fails with Kamal, you see the error in your terminal. SSH into the server, inspect Docker containers, check logs, fix things. The mental model is simple: Docker containers on a server, managed by SSH commands.

When Coolify has issues, you're debugging through both the dashboard and the underlying infrastructure. Coolify itself is a complex application running on your server — its own database, background workers, web server. If Coolify's processes have problems, your deployment pipeline is affected.

Maintenance

Kamal has minimal maintenance overhead. It's a Ruby gem you install locally. The only thing running on your server is the Kamal Proxy container, which occasionally needs upgrading when you update Kamal itself — but that's handled automatically during deploys.

Coolify runs on your server and needs its own maintenance — updates, monitoring, occasionally debugging. It's a full application. More surface area to maintain.

When to Choose Kamal

  • You prefer CLI workflows and config-as-code
  • You want minimal moving parts on your server
  • You want deployment config version-controlled in your repo
  • You're comfortable with Docker and basic server administration
  • You want a tool backed by decades of production experience

When to Choose Coolify

  • You prefer a visual web dashboard
  • You want built-in database provisioning
  • You're deploying multiple unrelated projects to one server
  • You want a Heroku-like experience on your own hardware
  • You prefer clicking through a UI over writing YAML

What Stacknaut Uses

I chose Kamal 2.

If you've decided on Kamal, the next step is writing deploy.yml, creating production Dockerfiles for each service, configuring Caddy as a reverse proxy with SSL, setting up health checks, and writing deployment scripts. Getting all of this right — especially for a multi-service app with frontend, backend, and API — takes a solid day or two.

Stacknaut includes the complete deployment pipeline — Kamal config for multi-role deploys, production Dockerfiles, Caddyfile with security headers, and scripts that auto-detect which services changed. Combined with Terraform for server provisioning: terraform apply creates the server, kamal deploy ships your app.

Two commands from zero to production. See the full setup.

00b2d54d

© 2026 Stacknaut