Deploying Langfuse – Open-Source LLM Observability Platform

Langfuse is an open-source observability platform for LLM applications including traces prompts/responses, tracks token usage and cost, and gives you debugging analytics for production AI workflows. This guide deploys it via Docker Compose with PostgreSQL, ClickHouse, Redis, and S3-compatible object storage, secured behind Traefik with Let's Encrypt, then sends a real trace through it.

Prerequisites: a Linux server (4 vCPU / 16GB RAM minimum), Docker + Docker Compose, an S3-compatible object storage bucket, a domain A record (e.g. langfuse.example.com).

Set Up the Project

$ mkdir -p ~/langfuse/{letsencrypt,postgres,clickhouse-data,clickhouse-logs,redis}

$ cd ~/langfuse

Deploying Langfuse – Open-Source LLM Observability Platform

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