Coolify vs Kamal

Both tools help you deploy to your own servers instead of relying on managed platforms. Kamal is a CLI deployment tool. Coolify is a self-hosted PaaS. They solve the same problem — getting your app from a Git repo to a running server — but with fundamentally different approaches.

Last updated: April 2026

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, via Kamal Proxy	Yes
Docker-based	Yes	Yes
Multi-server	Yes	Yes
SSL	Via Kamal Proxy	Via Traefik (default)
Database management	Accessories (Docker containers)	Built-in provisioning via UI
Server overhead	Kamal Proxy only	Full application stack
Language	Ruby	PHP (Laravel)
GitHub stars	~11k	~49k
License	MIT	Apache 2.0
Cost	Free (open-source)	Free self-hosted; Cloud from $5/mo

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, HEY, and Ruby on Rails. They've been shipping production software for over 20 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. It has a large community behind it — roughly 49k GitHub stars, 530+ contributors, and 19k+ members in the Discord.

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. If I need to set up a second server or hand the project to someone else, the full deployment setup is right there in the repo.

Server Overhead

This is one of the biggest practical differences.

With Kamal, the only deployment-layer overhead on your server is the Kamal Proxy container — a lightweight reverse proxy that handles zero-downtime switching between deployments. Your app containers run alongside it, but there's no platform running on the server. Kamal itself is a Ruby gem that runs on your local machine.

Coolify is a full application that runs on your server. It requires its own PostgreSQL database, Redis instance, background workers, and a web server for the dashboard. The official minimum requirements are 2 CPU cores, 2 GB RAM, and 30 GB storage — and that's before you deploy any of your own apps.

On a small VPS (2-4 GB RAM), this difference matters. With Kamal, nearly all your server resources go to your application. With Coolify, the platform itself consumes a meaningful portion of your available RAM and CPU.

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.

For a typical SaaS app with one PostgreSQL database and maybe Redis, the Kamal approach is perfectly fine. Coolify's database management shines more when you're running many unrelated projects with different database needs on the same server.

Debugging and 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.

With Kamal, if the deployment tool has a bug, your running app isn't affected — it's already deployed and running. With Coolify, the platform itself is a dependency that runs alongside your app.

Maintenance

Kamal has minimal maintenance overhead. It's a Ruby gem you install locally. The only deployment-layer component running on your server is the Kamal Proxy container, which gets upgraded automatically during deploys.

Coolify runs on your server and needs its own maintenance — updates, monitoring, and occasionally debugging. It's a full application with more surface area. You're effectively maintaining two systems: Coolify itself and the apps it deploys.

Speed

37signals deploys HEY — their email service — in as little as 20 seconds with Kamal (with image caching). Typical deploys for smaller apps are fast because there's no platform overhead: Kamal pushes a container, Kamal Proxy health-checks it, and traffic switches over.

Coolify deploys are generally slower because it builds and deploys through its own platform layer. For small projects this doesn't matter much, but at scale the difference adds up.

Cost

Both tools are free and open-source for self-hosting.

Coolify also offers a managed Cloud option starting at $5/month (includes up to 2 connected servers), with additional servers at $3/month each. This gives you a hosted Coolify dashboard without managing the platform yourself.

Kamal has no managed offering — it's a local CLI tool by design. You need a Docker registry (free options like GitHub Container Registry work fine) and your server(s).

Community and Ecosystem

Coolify has the larger community: ~49k GitHub stars, 530+ contributors, and 19k+ Discord members. It's one of the most popular self-hosted PaaS projects on GitHub. The ecosystem includes one-click service deploys for 280+ services.

Kamal has a smaller but focused community backed by 37signals' credibility. It powers every 37signals application in production — Basecamp, HEY, and all their internal tools. That's a strong signal of reliability.

When to Choose Kamal

You prefer CLI workflows and config-as-code
You want minimal deployment overhead 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 20+ years of production experience at 37signals
You're running a focused SaaS app (not many unrelated projects)

When to Choose Coolify

You prefer a visual web dashboard over CLI
You want built-in database provisioning and management
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
You want one-click deploys for popular open-source services

What Stacknaut Uses

I chose Kamal 2.

The config-as-code approach fits how I work — and it means your AI coding agent can read and modify deployment config just like any other file in the repo. With Coolify, deployment config lives in a dashboard that AI tools can't access.

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.