Langflow deployment overview

This section includes the different ways to bring your locally-built flows to the world.

To self-host your local server through an Ngrok gateway, see Deploy a public Langflow server. This approach uses ngrok to forward traffic and share your local Langflow server over the internet, without deploying to a cloud provider or exposing your network directly.
To build and deploy a Langflow container that includes your flow files, see Containerize a Langflow application. This approach bundles your flows and dependencies into a portable, reproducible Docker image for easy deployment across different environments.
To deploy a Langflow server on a remote server with Docker and Caddy, see Deploy Langflow on a remote server. This approach is good for hosting your own Langflow instance on a remote server with secure web access, using Docker containers and Caddy as a reverse proxy for HTTPS support.
To deploy Langflow on Kubernetes, see Langflow Kubernetes architecture and best practices This approach creates production-grade deployments with high availability, scalability, and robust orchestration.
For cloud provider-specific deployment guides, see your cloud provider's documentation. The Langflow documentation provides a few examples, such as Google Cloud Platform and Hugging Face Spaces, to help you get started.