---
title: Deploy Langfuse on GCP with Terraform
description: Step-by-step guide to run Langfuse on GCP via Terraform.
label: "Version: v4"
sidebarTitle: "GCP (Terraform)"
---

# Deploy Langfuse on GCP with Terraform

This guide will walk you through the steps to deploy Langfuse on GCP using the official Terraform module ([langfuse/langfuse-terraform-gcp](https://github.com/langfuse/langfuse-terraform-gcp)).
You will need access to a GCP account and the Terraform CLI installed on your local machine.

By default, the Terraform module will provision the necessary infrastructure for the Langfuse application containers and data stores ([architecture overview](/self-hosting#architecture)).
You can optionally configure the module to use existing GCP resources. See the Readme for more details.

Alternatively, you can deploy Langfuse on Kubernetes using the [Helm chart](/self-hosting/deployment/kubernetes-helm).

  If you are interested in contributing to our Terraform deployment guides or
  modules, please create an issue on the [GitHub
  Repository](https://github.com/langfuse/langfuse-terraform-gcp).

## Readme

Source: [langfuse/langfuse-terraform-gcp](https://github.com/langfuse/langfuse-terraform-gcp)

  

---

If you experience any issues when self-hosting Langfuse, please:

1. Check out [Troubleshooting & FAQ](/self-hosting/troubleshooting-and-faq) page.
2. Use [Ask AI](/ask-ai) to get instant answers to your questions.
3. Ask the maintainers on [GitHub Discussions](/gh-support).
4. Create a bug report or feature request on [GitHub](/issues).

  Enterprise-grade support is available when self-hosting Langfuse. Learn more on
  our [pricing page](/pricing-self-host).

<!-- agent-instructions -->

---

## Agent Instructions

This page is part of the [Langfuse](https://langfuse.com) documentation, published as plain Markdown for AI agents. Every page is available as Markdown by appending `.md` to its URL, or by sending an `Accept: text/markdown` header. This page: `https://langfuse.com/self-hosting/deployment/gcp.md`.

### Querying these docs

If the answer is not on this page, query the documentation instead of guessing:

- **Semantic search** across all Langfuse docs, returning an answer with the relevant pages and excerpts. Ask a specific, self-contained question:

  ```bash
  curl -sG "https://langfuse.com/api/search-docs" --data-urlencode "query=How do I trace a LangGraph agent?"
  ```

- **Index of every page**: <https://langfuse.com/llms.txt>, with per-section indexes [llms-docs.txt](https://langfuse.com/llms-docs.txt), [llms-integrations.txt](https://langfuse.com/llms-integrations.txt), and [llms-self-hosting.txt](https://langfuse.com/llms-self-hosting.txt).

### Before writing Langfuse code

- **Install the [Langfuse Agent Skill](https://langfuse.com/docs/api-and-data-platform/features/agent-skill).** It encodes Langfuse's own best practices for instrumentation, prompt management, and evaluation, and materially improves results.
- **Read [What does a good trace look like?](https://langfuse.com/docs/observability/best-practices.md)** before instrumenting an application.
- **Verify endpoints, parameters, and response fields** against the [API reference](https://api.reference.langfuse.com) instead of inferring them from code examples.
- **Use the [Langfuse CLI](https://langfuse.com/docs/api-and-data-platform/features/cli)** (`npx langfuse-cli api <resource> <action>`) to read or write traces, prompts, datasets, and scores from the terminal.

Found an error in these docs? Please open an issue at <https://github.com/langfuse/langfuse-docs/issues>.