dify/docs/ADVANCED_SETUP.md

Advanced Setup

Custom configurations

If you need to customize the configuration, edit docker/.env. The essential startup defaults live in docker/.env.example, and optional advanced variables are split under docker/envs/ by theme. After making any changes, re-run docker compose up -d from the docker directory. You can find the full list of available environment variables here.

Metrics Monitoring with Grafana

Import the dashboard to Grafana, using Dify's PostgreSQL database as data source, to monitor metrics in granularity of apps, tenants, messages, and more.

• Grafana Dashboard by @bowenliang123

Deployment with Kubernetes

If you'd like to configure a highly available setup, there are community-contributed Helm Charts and YAML files which allow Dify to be deployed on Kubernetes.

• Helm Chart by @LeoQuote
• Helm Chart by @BorisPolonsky
• Helm Chart by @magicsong
• YAML file by @Winson-030
• YAML file by @wyy-holding
• 🚀 NEW! YAML files (Supports Dify v1.6.0) by @Zhoneym

Using Terraform for Deployment

Deploy Dify to Cloud Platform with a single click using terraform

Azure Global

• Azure Terraform by @nikawang

Google Cloud

• Google Cloud Terraform by @sotazum

Using AWS CDK for Deployment

Deploy Dify to AWS with CDK

AWS

• AWS CDK by @KevinZhao (EKS based)
• AWS CDK by @tmokmss (ECS based)

Using Alibaba Cloud Computing Nest

Quickly deploy Dify to Alibaba cloud with Alibaba Cloud Computing Nest

Using Alibaba Cloud Data Management

One-Click deploy Dify to Alibaba Cloud with Alibaba Cloud Data Management

Deploy to AKS with Azure Devops Pipeline

One-Click deploy Dify to AKS with Azure Devops Pipeline Helm Chart by @LeoZhang

Using Sealos for Deployment

Deploy Dify with one click using the Sealos App Store