---
title: "Deploy Langfuse v3"
description: "Open source observability and analytics for LLM applications"
category: "Other"
url: https://railway.com/deploy/exma_H
---

# Deploy Langfuse v3

Open source observability and analytics for LLM applications

**[Deploy Langfuse v3 on Railway](https://railway.com/template/exma_H)**

Machine-readable deploy manifest (JSON, validated by TemplateCI): https://railway.com/deploy/exma_H/manifest.json

- **Creator:** Langfuse's Projects
- **Category:** Other
- **Total deploys:** 685

## Template content

### postgres https://devicons.railway.app/i/postgresql.svg

- **Image:** ghcr.io/railwayapp-templates/postgres-ssl:16

### minio https://res.cloudinary.com/h5kvzw/image/upload/v1706062979/MINIO_Bird_vbtpet.png

- **Image:** minio/minio
- **Start command:** `sh -c 'mkdir -p /data/langfuse && minio server --address ":9000" --console-address ":9001" /data'`
- **Health check:** /minio/health/ready

### redis https://devicons.railway.app/i/redis.svg

- **Image:** bitnami/redis:7.2.5

### langfuse-worker https://langfuse.com/icon.svg

- **Image:** langfuse/langfuse-worker:3

### clickhouse https://devicons.railway.app/ClickHouse?variant=light

- **Image:** clickhouse/clickhouse-server:24
- **Health check:** /ping

### langfuse-web https://langfuse.com/icon.svg

- **Image:** langfuse/langfuse:3
- **Public domain:** Yes

## Documentation

Langfuse is an open source observability & analytics solution for LLM-based applications. It is mostly geared towards production usage but some users also use it for local development of their LLM applications.

Langfuse is focused on applications built on top of LLMs. Many new abstractions and common best practices evolved recently, e.g. agents, chained prompts, embedding-based retrieval, LLM access to REPLs & APIs. These make applications more powerful but also unpredictable for developers as they cannot fully anticipate how changes impact the quality, cost and overall latency of their application. Thus Langfuse helps to monitor and debug these applications.

Using this template, you can deploy Langfuse to Railway. It automatically creates Postgres, Clickhouse, and Redis databases and Minio instance to store your production data.

In case of errors, try restarting the application container or join the Discord to get help: https://langfuse.com/discord

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Open this page in a browser: https://railway.com/deploy/exma_H