Compare the tradeoffs
Towbar
✅ Pros
- Towbar provides a web control plane for several servers, with Repository sync, previews, monitoring, incident history, vulnerability results, and team roles built into the product.
- Workload declarations are validated in Git and deployments retain immutable source and image identities.
- Apps, databases, backups, restores, notifications, and audit history use one model instead of a collection of unrelated plugins.
⚠️ Cons
- Towbar is heavier to install and operate than a small Dokku host.
- It supports a narrower set of extensions and rejects deployment patterns outside its manifest policy.
- Towbar does not reproduce Dokku’s direct
git pushworkflow or its large plugin ecosystem.
Dokku
✅ Pros
- Dokku is a lean, CLI-native PaaS that can build from a Git push with Buildpacks or a Dockerfile on a single server.
- Procfile process types, config commands, and datastore plugins feel familiar to teams coming from Heroku.
- Its plugin system lets an experienced operator assemble only the capabilities a host needs.
⚠️ Cons
- The default scheduler manages one server. Multi-node operation needs another scheduler and a more complex architecture.
- Operational state is spread across host commands, app config, storage mounts, proxy settings, and plugins rather than one reviewed repository contract.
- Plugin compatibility, upgrades, backups, observability, and access control remain the operator’s responsibility.
1. Inventory apps and plugins
For every app, record the Git source and branch, builder, Dockerfile, Procfile process types, config, domains, proxy settings, scale, checks, storage mounts, networks, scheduled tasks, and linked services. List every plugin and determine whether it supplies runtime behavior, a datastore, or only operator tooling. Dokku’s backup and recovery guide recommends keeping repositories, static assets, and tested datastore dumps. It also warns that filesystem copies of running datastores may be inconsistent.2. Map the runtime model
Commit
towbar.yml and one file per workload. A Procfile with several long-lived
process types usually becomes several Apps so each process can have independent
health, scaling, limits, and operational history.
