# Railway

## Deploy usando Railway

1. Haz click en el botón de abajo para hacer deploy de Flowise en Railway

[![Deploy on Railway](https://railway.app/button.svg)](https://railway.app/template/YK7J0v)

2. Haz click en **Deploy Now**

<figure><img src="https://github.com/FlowiseAI/FlowiseDocs/blob/main/esp/.gitbook/assets/railway/1.png" alt=""><figcaption></figcaption></figure>

3. Selecciona **Configure**

<figure><img src="https://github.com/FlowiseAI/FlowiseDocs/blob/main/esp/.gitbook/assets/railway/2.png" alt=""><figcaption></figcaption></figure>

4. Haz click en **Deploy**

<figure><img src="https://github.com/FlowiseAI/FlowiseDocs/blob/main/esp/.gitbook/assets/railway/3.png" alt=""><figcaption></figcaption></figure>

5. Espera a que el deployment se complete

<figure><img src="https://github.com/FlowiseAI/FlowiseDocs/blob/main/esp/.gitbook/assets/railway/4.png" alt=""><figcaption></figcaption></figure>

6. Haz click en **Settings** y luego en **Generate Domain**

<figure><img src="https://github.com/FlowiseAI/FlowiseDocs/blob/main/esp/.gitbook/assets/railway/5.png" alt=""><figcaption></figcaption></figure>

## Persistent Storage

El filesystem por defecto para servicios corriendo en Railway es efímero. Los datos de Flowise no persisten entre deploys y reinicios. Para resolver este problema, podemos usar [Railway Volume](https://docs.railway.app/reference/volumes).

Para facilitar los pasos, tenemos un template de Railway con volumen montado: <https://railway.app/template/nEGbjR>

Solo haz click en Deploy y completa las Env Variables como abajo:

* DATABASE\_PATH - `/opt/railway/.flowise`
* LOG\_PATH - `/opt/railway/.flowise/logs`
* SECRETKEY\_PATH - `/opt/railway/.flowise`
* BLOB\_STORAGE\_PATH - `/opt/railway/.flowise/storage`

<figure><img src="/files/17nCea6G4AfPZC2bUcD5" alt="" width="420"><figcaption></figcaption></figure>

Ahora intenta crear un flujo y guardarlo en Flowise. Luego intenta reiniciar el servicio o hacer redeploy, deberías poder ver el flujo que guardaste previamente.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.flowiseai.com/espanol/documentacion-oficial/configuracion/deployment/railway.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.