Studio Arm Install

#1 Install Server First
Row64 Studio runs connected to Row64 Server.
It’s better to install Row64 Server first, then install Studio and connect to it.

Set Up Ubuntu 25.04 ARM 64
A popular option is to get a cloud provider that offers Ubuntu 25.04 ARM virtual machines. This is offered by Amazon, Azure, Google Cloud, and many others.
Alternativly, you can set it up on your own VM, PC, Server or Datacenter.
Download Ubuntu 25.04 ARM 64
Download the iso for Ubuntu 25.04 ARM 64-bit architecture from:
https://ubuntu.com/download/desktop

Set up a VM or server with the ISO.
#2 Download Studio Installer
This document provides instructions on installing Studio on Ubuntu 25.04 ARM.
Download Row64 Studio V3.5 at:
https://app.row64.com/Downloads/

#3 Install Studio
From the terminal, run:
sudo dpkg -i row64studio-3.5_arm64.deb
Pin The Row64 Icon To Favorites
Click the App button in Ubuntu:

Type “ByteStream", right-click the app icon in the search results, and select “Pin To Dock"

To run Studio, click on the Row64 button.
#4 Start up Row64 Studio
Studio starts by default when the installer finishes. If not, there is a shortcut installed on the desktop you can double-click.
Row64 starts with an empty Dashboard.

#5 Connect to a Dashboard Server
Connect to a Row64 Server by clicking LOGIN on the top right. Enter in the Server field:
-
Domain name or IP address
-
localhost (if your server is on the same PC / VM / Cloud Instance)

#6 Modify the Dashboard and Load Data
On the dashboard click the plus button to add new charts and dashboard elements.
If you want to start by loading data, flip over to the “Data” tab at the top and load some example Server Data.

#7 Browse Example Dashboards
In the Connect tab, click on the Browse button to see a list of available Dashboards.
Double click on the Dashboard to open it.

There are many different types of example dashboards.
Hit the arrow button in the top right of any Geo or Diagram to get more selection options.


#8 Next Steps
For more tips on using and creating Dashboards, refer to the Dashboard Training documentation: Dashboard Training
