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docs: Clarify Kubernetes vs Docker deployment recommendations (#9132)
Co-authored-by: Cursor Agent <cursoragent@cursor.com>
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docs/source/guide/install_enterprise_docker.md

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type: guide
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tier: enterprise
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order: 0
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order_enterprise: 75
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meta_title: Install Label Studio Enterprise on-premises using Docker
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meta_description: Install, back up, and upgrade Label Studio Enterprise with Docker to create machine learning and data science projects on-premises.
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section: "Install & Setup"
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See [Secure Label Studio](security.html) for more details about security and hardening for Label Studio Enterprise.
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!!! note
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Docker deployments are more suitable for proof-of-concept builds and small projects. For production environments and larger deployments, we strongly recommend using Kubernetes. Kubernetes deployments provide better scalability, reliability, and access to advanced features such as Prompts. See [Deploy Label Studio Enterprise on Kubernetes](install_enterprise_k8s.html) for more information.
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To install Label Studio Community Edition, see [Install Label Studio](https://labelstud.io/guide/install). This page is specific to the Enterprise version of Label Studio.
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!!! note

docs/source/guide/install_prompts.md

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You only need to complete these steps if you want to use Prompts. For more information, see our [Prompts overview](prompts_overview).
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!!! note
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Prompts are only supported for Kubernetes deployments. If you are using Docker, you will need to migrate to a Kubernetes deployment to use Prompts. See [Deploy Label Studio Enterprise on Kubernetes](install_enterprise_k8s.html) for more information.
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## Prerequisites
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docs/source/guide/upgrade_enterprise.md

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tier: enterprise
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type: guide
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meta_title: Upgrade Label Studio Enterprise
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meta_description: Steps you should take when upgrading Label Studio Enterprise.
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section: "Install & Setup"

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