Runtime Fabric – set up development environment on AWS

Last Updated on 30/05/2021 by Patryk Bandurski

In this article, I will describe to you how to set up a development environment using Runtime Fabric using Docker. I will cover the requirements and detailed walkthrough. After completing this, you will be doing this on your own on AWS.


There are a couple of requirements that you should be aware of. First, are the legal requirements:

  • Either Platinium or Titanium Plan
  • Mule EE License

We distinguish Controller and Worker Virtual Machines. Here are the minimum requirements that you should take into account

Controller VMs

  • 8 GB memory
  • 140 GB disk
  • 250 GB disk for Docker

Worker VMs

  • 15 GB memory
  • 80 GB disk
  • 250 GB disk for Docker


For the development environment minimum configuration is depicted below. You must have at least one controller and two workers.

Development environment
Development environment

This configuration is minimal but allows to deploy many applications. In this scenario, we have High Availability as we use two works in two different AWS availability zones. The load balancer in Controller will split the traffic.

Runtime Fabric walkthrough

Runtime Fabric creation

MuleSoft provides a script that automatically set up the environment. All you need to do is to log in to Anypoint Platform. Go to Runtime Manager and select any environment if you are asked. On the left-hand side, choose Runtime Fabric. After that click, the big blue button “Create Runtime Fabric” as on the screen below.

Create Runtime Fabric Window
Create Runtime Fabric Window

Then you are asked to name the Runtime Fabric. I have decided to call it dev-fabric. On the next screen, you are able to download scripts. Unzip rtf-install-scripts*.zip file to a convenient location. For AWS there is dedicated aws directory.


In order to run the script, you need to get your AWS credentials. How to get them is described in the Help. Once you have them you may save them as Environment variables or into a file. Here are the variables names:


Here is an example:

set AWS_DEFAULT_REGION=eu-central-1

In order to successfully run the standalone runtime, you need to prepare your license key. Download it and perform the following command to obtain Base64 text

base64 -w0 patryk-bandurski-license.lic

We need to get Base64 activation key that is available on the Fabric page on Anypoint Platform. As you can see below it is in the red rectangle area.

Activation Data for Runtime Fabric
Activation Data for Runtime Fabric

Building environment

We need to initiate the terraform script. By initiating I mean specifying environment variables.

I have extracted rtf zip file into following directory D:\Pobrane\rtf-install-scripts-20190315-bf0dbc8. Perform the following command, of course, replace the source argument to your local path.

docker run --mount type=bind,source=D:/Pobrane/rtf-install-scripts-20190315-bf0dbc8,target=/src -w /src/aws -e AWS_ACCESS_KEY_ID -e AWS_SECRET_ACCESS_KEY -e AWS_SESSION_TOKEN hashicorp/terraform:latest init

So what is going on here? We allow docker to access the current folder. After that, we are ready to build our environment. First, we need to prepare some attributes:

  • activation_data
  • key_pair
  • enable_public_ips (boolean)
  • controllers (number)
  • workers (number)
  • mule_license
  • state

You may wonder what the key_pair is. It is used to securely connect to AWS instances. Here you find more about it and how to create it.

docker run -it --mount type=bind,source=D:/Pobrane/rtf-install-scripts-20190315-bf0dbc8,target=/src -w /src/aws -e AWS_ACCESS_KEY_ID -e AWS_SECRET_ACCESS_KEY -e AWS_SESSION_TOKEN hashicorp/terraform:latest apply -var activation_data=YW55cG9pbnQubXNi1hNTRlLTIwMGQzZDQ0N2IzNQ== -var key_pair=MuleSoftMeetup -var enable_public_ips=true -var controllers=1 -var workers=2 -var mule_license=2+W35iUhD9k/xQwi/SdnGq6jLuZcaX+qDXQ== -state=tf-data/rtf.tfstate

Now, after answering two questions all the magic is happening. After a while, you should see info like Apply complete! Resources: 3 added, 0 changed, 0 destroyed.


The script will try to create one controller and two workers. By default as a controller m4.large instance is created. For workers, r4.large is used. Your AWS account may have restrictions regarding the number of instances that you can create. In such a case, you need to contact AWS Support to increase that number. Here you can find more details.
For me, it took 2 hours to have the limit increased.

How to change instance types? Go to the file and change default for variable instance_type_controller and instance_type_worker.

Verify the progress

Installation may take up to 20 minutes. Mainly it depends on the number of nodes that you have decided to create. However, how to verify if everything is progressing correctly.

You should log to your controller machine. First, we need to get a public IP address. It is available in AWS console like in the screenshot below.

In order to log in to your instance use user name ec2-user. Then execute the following command

tail -f /var/log/rtf-init.log

Installation is divided into 11 main sections. After the installer reaches 11th step you should see the following message:

11 / 11: Generate Ops Center credentials
tr: write error: Broken pipe
tr: write error
user admin@runtime-fabric created
Ops Center access:
User:     admin@runtime-fabric
Password: b0LeZTMLYsC45Cwy9eVXWR

Runtime Fabric installation complete.

Check the status

On Anypoint Platform in the details of your Runtime Fabric, you should see Active status. Like in the picture below.

Runtime Fabric status on Anypoint Platform
Runtime Fabric status on Anypoint Platform

On AWS console you can also find the details of your new instances.

AWS EC2 instances running controller and workers
AWS EC2 instances running controller and workers


Setting up the environment with terraform script is really straightforward. Although I used official MuleSoft documentation I had some small difficulties. Nevertheless, it is a big step forward for on-premises environments.

I had described each step separately, but it can be nicely automated by your DevOps team.

Runtime Fabric – set up development environment on AWS

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