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* fix: nightly now properly gets 1.9.0 branch (#12215) before it was attempting to pull release-notes as letters are alphanumerically after numbers when we sort -V then grab tail now we only look at branch names that follow the pattern '^release-[0-9]+\.[0-9]+\.[0-9]+$' * docs: add search icon (#12216) add-back-svg * initial-content * cut-1.8-release-and-include-next-version * stage-1.8.0-and-next --------- Co-authored-by: Adam-Aghili <149833988+Adam-Aghili@users.noreply.github.com>
24 lines
1.9 KiB
Plaintext
24 lines
1.9 KiB
Plaintext
---
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title: Langflow deployment overview
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slug: /deployment-overview
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---
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This section includes the different ways to bring your locally-built flows to the world.
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* To self-host your local server through an ngrok gateway, see [Deploy a public Langflow server](/deployment-public-server).
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This approach uses [ngrok](https://ngrok.com/docs/getting-started/) to forward traffic and share your local Langflow server over the internet, without deploying to a cloud provider or exposing your network directly.
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* To build and deploy a Langflow container that includes your flow files, see [Containerize a Langflow application](develop-application).
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This approach bundles your flows and dependencies into a portable, reproducible Docker image for easy deployment across different environments.
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* To deploy a Langflow server on a remote server with Docker and Caddy, see [Deploy Langflow on a remote server](/deployment-caddyfile).
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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.
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* To deploy Langflow with Nginx and automatic SSL certificates, see [Deploy Langflow with Nginx and Let's Encrypt](/deployment-nginx-ssl).
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This approach uses Nginx as a reverse proxy with Let's Encrypt for automatic HTTPS certificate management to provide a secure deployment _without_ Docker.
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* To deploy Langflow on Kubernetes, see [Langflow Kubernetes architecture and best practices](/deployment-prod-best-practices)
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This approach creates production-grade deployments with high availability, scalability, and robust orchestration.
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* For cloud provider-specific deployment guides, see your cloud provider's documentation.
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The Langflow documentation provides a few examples, such as [Google Cloud Platform](/deployment-gcp) and [Hugging Face Spaces](/deployment-hugging-face-spaces), to help you get started. |