Dokku

Heroku charges per dyno and per addon, turning modest web services into a steep cloud bill. Dokku delivers the same git-push workflow and container isolation on any private server for the flat price of the compute. By pairing Docker with Cloud Native Buildpacks and modular plugins, it reproduces the classic Platform-as-a-Service experience on a single Linux host.

Why Dokku instead of Heroku

Heroku established the standard for developer ergonomics: write a Procfile, set configuration variables, type git push, and watch code run behind a managed router. Dokku mirrors that contract point for point. It inspects repositories using Herokuish or Cloud Native Buildpacks, builds a container image, provisions isolated processes for web and worker roles, and routes traffic through Nginx. For teams accustomed to Heroku dyno formations and addon attachments, deploying to Dokku requires virtually no workflow changes.

The financial equation diverges as workloads accumulate. Heroku bills for each discrete dyno tier, database instance, and background worker, penalizing staging environments and internal utility services that sit idle most of the day. Dokku consolidates multiple microservices, workers, and datastores onto a single virtual server costing five to twenty dollars a month. The trade-off is operational responsibility: Heroku manages kernel updates, host failover, and routing mesh health, whereas Dokku expects administrators to monitor server resources, handle system patches, schedule backups, and plan for single-node hardware failures.

What it does well

• Zero-configuration builds via Cloud Native Buildpacks and Herokuish, compiling polyglot codebases without custom container manifests.
• Official datastore plugins for PostgreSQL, Redis, MySQL, MariaDB, and MongoDB that provision containers, persistent volumes, and injected connection credentials in one command.
• Automated TLS certificate issuance and renewal through Let's Encrypt integration, managing HTTPS across domains and wildcard subdomains.
• Process scaling declared in standard Procfile syntax, providing independent replica management for web handlers and background workers.
• Zero-downtime deployments via container healthchecks and atomic Nginx proxy reconfiguration before retired containers stop.
• Host resource controls using Docker flags to enforce memory caps, CPU quotas, and container restart policies across applications.