Choosing Coolify over Vercel and Netlify for team deployments

Vercel charges $20 per month for its Pro plan, which provides unlimited viewer seats but requires extra fees for additional deploying seats. Netlify also uses a credit-based system where a Pro team uses a shared pool of 3,000 credits for bandwidth, compute, and requests. I found that a Next.js project on a $17.99 per month VPS felt slower than the same codebase on Vercel because the VPS served requests from a single location instead of a global Edge Network. While Vercel handles dependency resolution as a solved problem, migrating a project to a self-hosted VPS can result in many hours of troubleshooting if modern ES modules conflict with older CommonJS build contexts. You should consider if your project requires high-speed edge delivery or custom backend logic. Netlify functions also time out after 60 seconds, which forces developers to move long-running work to background functions. Coolify requires a minimum of 2 cores, 2 GB of RAM, and 10 GB of disk, although 4 GB of RAM is strongly recommended.

Docker Compose and Git deployment workflows

Coolify supports Docker Compose from a Git repository or through a definition pasted directly into the dashboard. For Git-based applications, users select Compose as the build strategy and provide the base directory and Docker Compose location. The platform generates variables like SERVICE_URL_<ID> and SERVICE_FQDN_<ID> to handle routing via the proxy. One user reported that attempting to add a self-hosted GitLab instance as a source app results in a 422 error during the registration step.

Coolify provides 363 one-click service templates to help teams deploy databases like PostgreSQL, MySQL, and Redis. For a Git-based application, the platform combines the base directory and the Docker Compose location to find the necessary files. Within the Compose definition, the APP_ENV variable stays fixed to production. You can use the syntax ${DATABASE_URL} to tell Coolify to create a connection string under the resource’s environment variables. If a service listens on port 3000, you include that internal port in the domain value, such as service:3000, so the Coolify proxy correctly routes the public request to the specific container port that is listening for all incoming traffic throughout the connection. Teams can deploy various stacks including Python, Go, and PHP using the interface. Coolify handles Git integration for GitHub, GitLab, Bitbucket, and Gitea, which includes support for self-hosted instances. If you choose Raw mode for a Git-based application, Coolify applies the definition without modifications, so you must provide your own proxy labels and networking.

Maintenance and operational costs

Self-hosting a platform requires regular work like operating system patches and Docker updates. You know the drill regarding server maintenance. If you do not schedule a Docker prune, your server will eventually fill up and refuse to deploy, which causes unexpected downtime. I think the cost of a failed upgrade on a Saturday evening makes managed hosting more appealing for many. Dokku requires a command line interface for all operations and consumes only 30MB to 60MB of RAM, while CapRover requires about 200MB and Coolify requires about 500MB of baseline RAM.

Managed providers like ManageStacks host Coolify on AWS, Azure, or GCP starting from $15 per month. This covers the control plane while the apps run on your own servers. You must also manage disk space to prevent build caches from filling the drive. Most self-hosted installations run everything on a single machine, including the control plane and the database. If that single machine fails, you lose your site, your logs, and your deployment interface at the same time. Dokploy is another option for teams that want a newer platform built around Docker Swarm, but it has a smaller ecosystem than Coolify. How many hours of your weekend is a $20 saving actually worth?