Langfuse Hosting Live In 5 Minutes

Deploy Langfuse hosting and run a self-hosted LLM observability platform where traces, prompts and API keys stay on infrastructure you control. xCloud starts the pinned web and worker images with private PostgreSQL, Redis, ClickHouse and MinIO services, creates your owner account, default project and API keys, and publishes the interface and ingestion API over HTTPS on your domain, ready for your first trace.

  • No terminal
  • No technical skills needed
  • No lock-in, cancel anytime

What is Langfuse?

Langfuse is an open-source LLM engineering platform. Upstream says it helps teams develop, monitor, evaluate and debug AI applications, with LLM application tracing, prompt management with version control, evaluations including LLM-as-a-judge, datasets, an LLM playground and a comprehensive API. The core is MIT-licensed; code under the ee folders has a separate enterprise licence and is not described here. Self-hosted Langfuse is the option for teams that would otherwise send traces to a hosted account such as LangSmith.

On xCloud the template runs the langfuse and langfuse-worker 4.50.0 images, pinned by digest, with PostgreSQL 17, Redis 7, ClickHouse 25.12 and MinIO on the private network and five persistent volumes. It is the v4 line, so send traces with a v4-compatible SDK or OpenTelemetry. Public sign-up is off; the owner, organization, project and API keys come from the install.

From Sign-Up to a Live Langfuse Project In Just 3 Easy Steps

Self-hosting Langfuse normally means a web service, a worker, four private data services, a domain and a certificate before a single trace lands. This is the same result without assembling any of it.

  1. Step 01

    Sign Up

    Create your xCloud account and pick Langfuse from the OneClick catalog. Enter a domain and the administrator email and password for the owner account.

  2. Step 02

    We Deploy It For You

    One click. We bring up the pinned Langfuse 4.50.0 web and worker images alongside PostgreSQL, Redis, ClickHouse and MinIO, create the owner account, default organization, project and API keys, and publish it over HTTPS on your domain.

  3. Step 03

    Send Your First Trace

    Save the login, project IDs and API keys from the protected installation credentials, sign in, then point a v4-compatible SDK or an OpenTelemetry exporter at your site and send a first trace.

Everything Langfuse Does, On Your Own Server

Langfuse runs in full here — its tracing, evaluation and prompt tooling, on infrastructure you control.

  • LLM Call Tracing

    Track traced LLM calls plus retrieval, embedding and agent steps, then inspect and debug logs and user sessions in a self-hosted UI.

  • v4 SDK And OpenTelemetry Ingestion

    Ingest traces with a v4-compatible Langfuse SDK (Python 4.7.0+, JS/TS 5.4.0+) or any OpenTelemetry exporter pointed at /api/public/otel.

  • Prompt Management And Evaluations

    Manage prompts and run evaluations alongside the traces they came from, in the same project.

  • Owner Account Created At Install

    A generated owner account, default organization, project and API keys are ready the moment the deploy finishes — public sign-up stays disabled.

  • Your Traces, Your Server

    Trace data, prompts and settings stay on a server you control instead of a third-party observability account.

  • Five Volumes, Cleanly Split

    PostgreSQL, ClickHouse, MinIO and Redis each persist on their own volume, all surviving a restart — verified by restarting every container and confirming an ingested trace was still returned.

Everything You Need To Run Your LLM Observability 24/7

Managed hosting for Langfuse, so the parts that keep it online are not your problem.

  • Langfuse 4.50.0 deployed instantly
  • Owner account and API keys pre-created
  • Free SSL certificate
  • Server backups and snapshots
  • Server security updates included
  • 30+ server locations
  • Private Postgres, Redis, ClickHouse, MinIO
  • Unused balance refunded

What You Can Do With Langfuse

  • Run an LLM tracing platform you own

    An AI team can trace every LLM call, along with retrieval and agent steps, in a UI on its own server, so prompts and customer text never leave infrastructure the team controls.

  • Version prompts with the team

    Manage prompts centrally with version control, so engineers and non-engineers iterate collaboratively on the same prompt, and server and client caching keeps that iteration from adding latency to the application.

  • Score outputs with evaluations

    Run evaluations, including LLM-as-a-judge, against traces and datasets to catch regressions before a prompt change reaches users, with results beside the traces they came from.

  • Debug an agent step by step

    When an agent gives a bad answer, open its trace to see each retrieval, model call and tool step, then reproduce the case in the playground with the same prompt and settings.

Langfuse vs Alternatives

LangSmith
If your traces go to a hosted LangSmith account today, Langfuse is the self-hosted route: the data lives in PostgreSQL and ClickHouse on your own Cloud VPS, and its LangChain integration uses a callback handler.
Opik
Opik has its own xCloud page and is an open-source platform for tracing, evaluating and monitoring LLM applications. Langfuse pairs tracing with prompt management, datasets and a playground, and this template runs it as a six-service stack.
Helicone
Helicone has no OneClick page here. Langfuse's template gives you a web UI, a worker, an ingestion API and five persistent volumes, with an owner account and project keys created at install.
Phoenix
Phoenix has no OneClick page here. Langfuse accepts OpenTelemetry traces at /api/public/otel as well as its own v4 SDKs, so an existing OpenTelemetry exporter can point at your server.

Simple Pricing. Everything Included.

Dedicated Cloud VPS sizes, pre-configured for Langfuse hosting. Pick the one that fits, and resize any time.

Cloud VPS 6 GB

Evaluate Langfuse before committing full resources.

$24.99per month

  • 6 GB RAM
  • 4 vCPU cores
  • 100 GB NVMe SSD
  • 30 TB
  • Unlimited
Get started

Cloud VPS 16 GB

Most popular

Matches the template's own 16 GB floor for a team's LLM traces.

$59.99per month

  • 16 GB RAM
  • 6 vCPU cores
  • 200 GB NVMe SSD
  • 30 TB
  • Unlimited
Get started

Cloud VPS 24 GB

Heavier ingestion volume or Langfuse alongside other apps.

$84.99per month

  • 24 GB RAM
  • 8 vCPU cores
  • 300 GB NVMe SSD
  • 30 TB
  • Unlimited
Get started

Every size is a dedicated Cloud VPS we provision, patch, monitor and restore. Billed monthly with no lock-in — delete the server and the unused balance comes back to your account. Langfuse's core project is free under the MIT licence.

Already Have a Server? Bring Your Own

Connect any VPS — DigitalOcean, Vultr, Linode, AWS, Hetzner or bare metal — and deploy Langfuse on it through the same panel, for a per-server management fee instead of a Cloud VPS rental.

Free

Start your journey without cost.

$0forever

  • 1 server
  • 10 sites
Start free

Starter

Most popular

Your rate with 2–5 servers connected.

$5per server / month

  • 2–5 servers
  • Unlimited sites
  • All features included
  • Bring any VPS provider
Get started

Professional

The same platform, discounted at 6–10 servers.

$4per server / month

  • 6–10 servers
  • Unlimited sites
  • All features included
  • Bring any VPS provider
Get started

Agency

The same platform, discounted at 11+ servers.

$3per server / month

  • 11+ servers
  • Unlimited sites
  • All features included
  • Bring any VPS provider
Get started

Priced per connected server, so your rate adjusts automatically as you add or remove servers. You pay your own provider for the server itself.

Ready To Own Your LLM Traces?

Langfuse on xCloud runs on a dedicated Cloud VPS that we provision, patch, monitor and restore. Deploy faster. Own the server. Stay in control.

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Frequently Asked Questions

Feel free to contact us with any questions or concerns you may have.

Can you self-host Langfuse?

Yes, and this template does it for you. It runs the Langfuse web and worker images with PostgreSQL, Redis, ClickHouse and MinIO on a private network, creates the owner account, default organization, project and API keys, and publishes the interface over HTTPS. Upstream's own docs describe a single-VM Compose setup of the same shape.

What does Langfuse need to run?

Beyond the web and worker containers, it needs PostgreSQL, Redis, ClickHouse and S3-compatible object storage. The template supplies all four as private containers, so only the web interface is published. The first boot runs PostgreSQL and ClickHouse migrations and can take several minutes before the sign-in page responds.

How much RAM does Langfuse need?

The template manifest asks for 16384 MB of RAM, 4 CPU cores and 40 GB of disk, matching the sizing of upstream's official Compose setup, because six services share the machine. That is why this page sells the 16 GB Cloud VPS and not the 6 GB tier. Heavy trace volume grows ClickHouse storage.

Is Langfuse open source?

Yes. Langfuse's core is open source under the MIT licence. Code in its ee folders falls under a separate enterprise licence, and this template does not enable those features unless you add a licence key yourself. The xCloud charge covers the Cloud VPS and the deployment, never the MIT-licensed code.

How do I send traces to Langfuse?

This is Langfuse v4, so use a v4-compatible SDK (Python 4.7.0+ or JS/TS 5.4.0+) or any OpenTelemetry exporter pointed at your domain's /api/public/otel path with the x-langfuse-ingestion-version: 4 header. Use the public and secret keys from your credentials. The legacy ingestion endpoint rejects events.

Does Langfuse work with LangChain?

Yes. Upstream lists integrations with LangChain, OpenAI, LlamaIndex and LiteLLM, among others. LangChain support works by passing a callback handler to your application. Point the SDK at your own site's HTTPS address and keys instead of Langfuse Cloud, and use a v4-compatible SDK version.

How do I upgrade a self-hosted Langfuse?

Web and worker are held at 4.50.0 by digest. A newer release means saving all five volumes plus your environment values, reading upstream's notes and selecting a later template version, which swaps both images together. Database migrations then run during the next start.

How do I back up Langfuse?

A Langfuse backup covers five volumes together with your environment values: langfuse_postgres_data, langfuse_clickhouse_data, langfuse_clickhouse_logs, langfuse_redis_data and langfuse_minio_data. Stop the stack before a filesystem snapshot for consistency, keep a copy off-server and test a restore. Upstream notes a single VM has no built-in backups.

Can I let more people sign up?

Public sign-up is disabled by default. To allow it, set AUTH_DISABLE_SIGNUP to false in the Environment editor and redeploy. To invite people instead, set both SMTP_CONNECTION_URL and EMAIL_FROM_ADDRESS first, since the template configures no email, then invite users from the organization settings.

Can I run Langfuse in the cloud on xCloud?

Yes. Under Langfuse cloud use, xCloud sets up a dedicated Cloud VPS, deploys the six services and attaches your domain and certificate. Hardware you rent elsewhere can be enrolled as self-managed. Browser-direct media uploads to MinIO are not exposed on either.

Can you run Langfuse with Docker?

Yes. For Langfuse Docker hosting the template runs the web and worker images, PostgreSQL, Redis, ClickHouse and MinIO as digest-pinned containers on one private network, with five named volumes and HTTPS in front. You do not write the compose file. Product telemetry defaults to on; set TELEMETRY_ENABLED to false to disable it.

Can I cancel anytime?

Yes. There is no lock-in — cancel any time. Hosting is billed monthly and charged for what you actually use, so when you delete the server the unused balance is refunded to your account, less up to 10% in payment-processing fees.

Ready to Own Your LLM Traces?

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