> ## Documentation Index
> Fetch the complete documentation index at: https://enterprise-docs.dify.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Resources Checklist

For the beginning of the deployment, you need to prepare the following resources.

# Requirements

* Helm 3.14+
* Kubernetes 1.24+
  <Warning>
    1. `Important` For the [License Activation](/en/3.11.x/deploy/license-activation), contact your IT team to provide the necessary permissions.
       * ServiceAccount (Required)
       * Role / RoleBinding (Required)
    2. `Warning` If you are using a restricted environment, please make sure to allow the pods to run as `root` (like OpenShift).
  </Warning>
* Cloud Provider (Supported)
  * AWS, Azure, Aliyun, Tencent Cloud, GCP

# Domains

Dify Enterprise requires 6 domains to be set up. The domains are:

* Console: console.dify.local
* Services API: api.dify.local
* APP: app.dify.local
* Files: upload.dify.local
* Enterprise Dashboard: enterprise.dify.local
* Trigger: trigger.dify.local

# Testing Deployment Resources

* Kubernetes Cluster
  * 1 Worker Node: 4 CPU, 16 GB RAM
* Persistence Storage
  * s3, amazon-s3, azure-blob, aliyun-oss, google-storage, tencent-cos
  * 100 GB Storage
* Postgres Database
  * Version 14+
  * 4 CPU, 8 GB RAM
  * 512 GB `SSD` Storage
* Redis Database
  * Version 6+
  * 1 GB RAM
* Vector DB Virtual Machine - Qdrant Single Node
  * 1 Virtual Machines
  * 4 CPU, 8 GB RAM
  * 100 GB Storage

# Production Deployment Resources

* Kubernetes Cluster
  * 6 Worker Nodes: Each one 8 CPU, 32 GB RAM
* Persistence Storage
  * s3, amazon-s3, azure-blob, aliyun-oss, google-storage, tencent-cos
  * 512 GB Storage
* Postgres Database
  * Version 14+
  * 8 CPU, 16 GB RAM
  * 512 GB `SSD` Storage
* Redis Database
  * Version 6+
  * 2 GB RAM
* Vector DB Virtual Machine - Qdrant Cluster
  * 3 Virtual Machines
  * 8 CPU, 64 GB RAM
  * 100 GB Storage