Dify AI Build, Deploy & Manage GenAI Apps pre configured by Niles

1. Type virtual machines in the search.
2. Under Services, select Virtual machines.
3. In the Virtual machines page, select Add. The Create a virtual machine page opens.
4. In the Basics tab, under Project details, make sure the correct subscription is selected and then choose to Create new resource group. Type myResourceGroup for the name.*.
5. Under Instance details, type myVM for the Virtual machine name, choose East US for your Region, and choose Ubuntu 18.04 LTS for your Image. Leave the other defaults.
6. Under Administrator account, select SSH public key, type your user name, then paste in your public key. Remove any leading or trailing white space in your public key.
7. Under Inbound port rules > Public inbound ports, choose Allow selected ports and then select SSH (22) and HTTP (80) from the drop-down.
8. Leave the remaining defaults and then select the Review + create button at the bottom of the page.
9. On the Create a virtual machine page, you can see the details about the VM you are about to create. When you are ready, select Create.

It will take a few minutes for your VM to be deployed. When the deployment is finished, move on to the next section.

Connect to virtual machine

Create an SSH connection with the VM.

1. Select the Connect button on the overview page for your VM.
2. In the Connect to virtual machine page, keep the default options to connect by IP address over port 22. In Login using VM local account a connection command is shown. Select the button to copy the command. The following example shows what the SSH connection command looks like:

ssh azureuser@<ip>

1. Using the same bash shell you used to create your SSH key pair (you can reopen the Cloud Shell by selecting >_ again or going to https://shell.azure.com/bash), paste the SSH connection command into the shell to create an SSH session.

Usage/ Deployment Instructions

Connect to VM- Port- 22.

start Dify services

cd /home/niles/dify/docker
docker compose up -d

Dify – a visual, low-code AI app / workflow / agent builder.

First Login – Dify (AI App Studio)

Initial Setup

1. Open the EC2 Console and note the public IP address of your instance.

2. In a web browser, visit:

   http://<PUBLIC_IP>/install


3. The Dify setup screen will appear.

   • Enter an admin email address

   • Create an admin password

   • Click Create or Continue to finish setup

4. Once setup is complete, go to:

   http://<PUBLIC_IP>/


5. Sign in using the admin credentials you just created.

Configure AI Model Providers (API Keys)

After logging into Dify:

1. Open the Dify dashboard at:

   http://<PUBLIC_IP>/


2. Navigate to Settings → Model Providers / LLM Providers
   (menu names may vary slightly depending on the version).

3. Add API credentials for the providers you plan to use, such as:

   • OpenAI – enter your OpenAI API key

   • Anthropic – add your Claude API key

   • AWS Bedrock – configure region and access credentials

   • Any other supported model provider

4. Save your configuration.

What You Can Do Next

With Dify configured, you can now:

• Build and deploy AI chatbots

• Create agents and automated workflows

• Set up RAG / knowledge base applications

• Test and refine everything directly from the Dify interface

View running containers

Restart Dify services

Stop all Dify services (maintenance mode)