Common mistakes with Coolify for teams choosing between Dokku and CapRover

Coolify consumes 500 to 700 MB of RAM at idle, a baseline that eats 15% to 18% of memory on a standard 4 GB server before your first app deploys. Teams often ignore this overhead, assuming the platform is just a thin wrapper around Docker. It is not. The control plane runs PostgreSQL, Redis, and a Laravel backend, which demands significant resources regardless of workload size. If you provision a 2 GB instance based on generic advice, the system will likely trigger out-of-memory kills during parallel builds. You must account for this fixed cost when sizing your infrastructure, especially if you plan to run multiple services simultaneously.

Resource planning and architectural fit

The biggest error is underestimating the hardware required for Coolify’s agentless SSH model. Unlike CapRover, which uses Docker Swarm and requires only 1 GB of RAM, Coolify needs a minimum of 2 GB, with 4 GB recommended for stability. I have seen teams migrate from Dokku to Coolify without upgrading their VPS, leading to slow UI responses and failed deployments. Dokku runs on as little as 1 GB because it lacks a web dashboard and relies on CLI commands, making it ideal for low-budget single-server setups. However, if your team includes non-technical members who need visual access to logs and environment variables, Dokku’s terminal-only interface becomes a major friction point. Coolify solves this with a polished web UI, but that convenience comes at a price in resource consumption.

Another critical mistake is ignoring backup automation gaps. None of these platforms provide built-in database backup automation by default, a gap teams often discover after a data loss event rather than before. Coolify surfaces database connection details but delegates the actual backup strategy to the operator, requiring manual cron jobs or third-party tools for S3-compatible storage. CapRover includes one-click apps for databases but still requires manual configuration for volume backups. If you assume the PaaS handles disaster recovery, you are setting yourself up for failure. Test your restore process on a clean server before going live; a green "Backup Successful" notification does not guarantee recoverability.

Operational complexity and team workflow

Teams frequently overlook the maintenance burden of self-hosting the PaaS itself. When you install Coolify, the platform becomes another production service that requires updates, security patching, and monitoring. The rapid release cadence of Coolify can cause schema migration snags between minor versions, demanding more attention than the stable, slower-moving CapRover. CapRover has been battle-tested since 2017, offering a stable API and configuration format that changes minimally over time. This stability is valuable for production workloads where predictability matters more than new features. However, CapRover’s UI feels dated, and its Docker Compose support is limited compared to Coolify’s full integration.

Dokku offers the closest Heroku experience with git push deployments, but it lacks multi-server orchestration entirely. If your architecture spans multiple nodes, Dokku is a dead end unless you use an optional k3s scheduler, which adds complexity. Coolify manages multiple servers from a single dashboard, but you must configure your own load balancer for multi-node deployments. The choice often comes down to whether you value Coolify’s broader feature set or CapRover’s lower per-server overhead. For a small team deploying 2 to 5 apps, the difference between 350 MB and 700 MB of PaaS overhead is meaningful on a budget server. Do not stop after deploying a "Hello World" application; test the failure scenarios, including disk pressure and database capacity, to ensure the platform fits your operational reality.