[GH-ISSUE #409] Script to Automatically Migrate Projects from Railway to dFlow (Cloud or Self-Hosted) #266

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opened 2026-03-03 11:14:24 +03:00 by kerem · 0 comments
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Originally created by @charanm927 on GitHub (Aug 13, 2025).
Original GitHub issue: https://github.com/dflow-sh/dflow/issues/409

Description:

Create a migration script that allows users to seamlessly move their existing projects from Railway to any dFlow instance (cloud or self-hosted). The script should fetch project configurations, environment variables, and service definitions from Railway, then recreate them in dFlow with minimal manual input.

Acceptance Criteria:

  • Accept Railway API key and target dFlow instance credentials/URL as input.
  • Fetch project details, environment variables, and deployment settings from Railway.
  • Map Railway services to equivalent dFlow services (Docker/Dokku/etc.).
  • Transfer environment variables and secrets securely.
  • Optionally migrate persistent data (databases, volumes) if applicable.
  • Provide progress logging and a final migration summary.
  • Support both cloud-hosted and self-hosted dFlow instances.

Benefits:

  • Makes switching from Railway to dFlow frictionless.
  • Saves time by automating repetitive setup tasks.
  • Encourages adoption of self-hosted or cloud dFlow instances.
Originally created by @charanm927 on GitHub (Aug 13, 2025). Original GitHub issue: https://github.com/dflow-sh/dflow/issues/409 **Description:** Create a migration script that allows users to seamlessly move their existing projects from Railway to any dFlow instance (cloud or self-hosted). The script should fetch project configurations, environment variables, and service definitions from Railway, then recreate them in dFlow with minimal manual input. **Acceptance Criteria:** - Accept Railway API key and target dFlow instance credentials/URL as input. - Fetch project details, environment variables, and deployment settings from Railway. - Map Railway services to equivalent dFlow services (Docker/Dokku/etc.). - Transfer environment variables and secrets securely. - Optionally migrate persistent data (databases, volumes) if applicable. - Provide progress logging and a final migration summary. - Support both cloud-hosted and self-hosted dFlow instances. Benefits: - Makes switching from Railway to dFlow frictionless. - Saves time by automating repetitive setup tasks. - Encourages adoption of self-hosted or cloud dFlow instances.
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starred/dflow#266
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