How to Self-Host Langfuse LLM Observability Platform Using Docker Compose

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Langfuse is an open-source observability platform designed to monitor LLM applications by tracking traces, token usage, costs, and providing debugging analytics for AI workflows. A technical guide published on DEV Community outlines how to deploy Langfuse on a Linux server using Docker Compose, combining PostgreSQL, ClickHouse, Redis, and S3-compatible object storage. The setup is secured with Traefik as a reverse proxy and uses Let's Encrypt for automated TLS certificate management. Deployment requires a minimum of 4 vCPUs and 16GB RAM, a configured domain A record, and six randomly generated secrets for securing database and application credentials. Once running, the platform allows developers to send real traces through the stack and monitor production AI application behaviour from a self-hosted environment.

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