Migrate Railway to Coolify or private infrastructure

Do you want to replace Railway while retaining a Git-based workflow? WZ-IT provides PaaS migration from EUR 1,990 excluding VAT to Coolify, Docker or another controllable target architecture.

A migration from Railway to Coolify or private infrastructure involves more than the application container. Railway organises projects, environments, services, variables, domains, volumes and data products as one platform. Every capability in actual use must be mapped deliberately on the target.

Inventory Railway resources completely

The inventory starts with the production Railway project, not only the repository:

• projects and environments such as production and staging
• services built from Git repositories or container images
• build and start commands, ports and health checks
• variables and references between services
• public and private domains
• volumes, mount paths and actual data
• PostgreSQL, MySQL, Redis and other data services
• workers, cron jobs and coupled background processes
• deployment triggers, branches and rollback behaviour

Railway can hold configuration outside the repository. A successful local start therefore does not prove that all production variables, service addresses and platform assumptions are known.

Transfer variables and service connections

Capture variables by environment and service. Reference variables that inherit values from other Railway services deserve special attention. On the target they may become:

• internal DNS names in a Docker network
• explicit database or Redis connections
• environment variables managed through Coolify
• secrets from a separate secret-management system

Do not export and reuse sensitive values blindly. API keys, database passwords and webhook secrets can be rotated during cutover. Applications and external integrations then need a coordinated switch to the new values.

Map services to Coolify or Docker

Classify each Railway service as an application, worker, scheduled job or data service. Build and runtime need separate validation:

Coolify is the possible platform layer for builds and deployments. The server can run with a German or European provider, in a customer data centre or in another suitable environment.

Migrate databases and volumes

Plan persistence independently of application deployment. For relational databases, dump and restore, native exports or replication for larger write-active systems are safer than copying a live data directory.

For each volume determine:

1. Which files are authoritative?
2. Can the application write during export?
3. Which users, groups and permissions does it expect?
4. How will count, size and checksums be validated?
5. How will the target volume be backed up and restored?

An initial deployment can use an older data set for testing. Move the final state only during the agreed cutover window.

Retain Git deployment, staging and production

A push can still trigger a build and deployment after migration. Define the delivery path explicitly:

• production branch or tag
• separate variables and data access for staging
• versioned build and start configuration
• health check and abort criterion
• approval before production rollout
• rollback to an earlier image or deployment

Preview environments are possible, but require rules for secrets, data access, domains and automatic clean-up.

Rehearsal and cutover

Validate the target under a test domain before switching. Cover login, critical user journeys, workers, cron jobs, uploads, email, webhooks, restart, logs, monitoring and backups. Only then transfer final data and DNS.

If the target architecture, dependencies or migration order are unclear, the PaaS Exit Review first provides a dependency map, target options and an actionable migration plan.

Sources

• Railway: Variables
• Railway: Volumes
• Railway: Services
• Coolify: Applications