13 May 2016
A Raspberry Pi3 VSTS Build Light-Part 2, installing Windows 10 IoT Core
In this second part of this blog series, I’ll walk through setting up Windows 10 IoT Core on your Raspberry Pi 3. Technically it’s more like setting up Windows 10 IoT Core on a MicroSD but that’s beside the point
If you missed part 1 you can find it here.
At the moment, the version of Windows IoT core for Raspberry Pi3 that includes the drivers for the on-board WiFi is only available to Windows Insiders. If you’re not already an insider, you can go and sign up. (It’s free.) I am writing this in early May 2016, so this may not be the case at the time you’re reading this.
For this exercise, I am using a Sandisk Ultra Class 10 8Gb MicroSD card to install Windows IoT Core and the Codify Build light software on. If you’re considering purchasing one, I’d go for a 16Gb MicroSD as the price is almost the same as the 8Gb ones.
The first thing I’m going to download is the March 2016 Insider Preview for Windows 10 IoT Core. The latest one I can download at the moment is build 14322. If there’s a more recent one available, I’d go ahead and get that one. Save the ISO file somewhere convenient for now then double-click it to mount the ISO.
Open Windows Explorer and navigate to the mounted ISO image. You should find a single MSI installer in the root of the mounted image. In my case the file is named “Windows_10_IoT_Core_for_RPi2.msi” which is misleading as I definitely selected the Raspberry Pi 3 image.
Double-click the MSI file and follow the prompt to install the program. This will give us easy access to the FFU file we’ll need in the next section.
The next thing I’m going to do is download and install the Windows 10 IoT Core Dashboard from the Microsoft website. This makes getting started much easier.
After the dashboard has been installed, it automatically runs and gives you the option to setup a new device. Go ahead and click “Set up a new device”.
On the setup new device screen, the Raspberry Pi 3 is not currently listed. I expect this to change soon. For now, I will select “Custom” for the device type and then point to the FFU file that was created when you ran the installer in the previous step. You should be able to find it at C:\Program Files (x86)\Microsoft IoT\FFU\RaspberryPi2\flash.ffu.
You need to have access to the MicroSD card now. When prompted to select the drive, select the drive letter corresponding to your Micros SD card.
You will need to accept the licensing terms and click Install. A command window will be displayed and you’ll see the Deployment Image Servicing and Management Tool displayed as well as a progress indicator as it sets up Windows 10 IoT core on your MicroSD card.
Once the image has been extracted into your MicroSD card, you should see a message to let you know the MicroSD card is ready. Remove the card from your PC and insert it into the MicroSD card slot in the Raspberry Pi 3. In my case, I’m going to choose to connect the Raspberry Pi 3 via an Ethernet cable before I look at the Wireless drivers and configuration.
Connect the power supply to your Raspberry Pi 3 and turn on the power.
In the IoT Dashboard, click “My Devices”. If everything is working you should see you device appear as shown in the following screenshot.
In the list of My Devices, I’m going to click the pencil icon in the settings column to change the settings for my Raspberry Pi 3. Specially, I am going to set the name of my device to “RPiVSTSBuild” but you can choose a suitable name for yourself. You should also set a device password for the Administrator account on this screen. The default password is p@ssw0rd. Once you rename, you will be prompted to reboot your device. Click OK.
I have configured the Time zone to match my current time zone and I’ve configured my Wireless settings to connect to my local wireless network.
That’s about it for getting Windows 10 IoT Core ready. In the third and final part of this blog series, we’ll get our computer configured to use Visual Studio 2015 to build the Codify build light software . We’ll then deploy it to the Raspberry Pi and configure it to connect to our VSTS account.
Other post in this four part series include
- Retrospective – DevOps using VSTS and Azure course Build , DevOps , Release Management , TFS2017 , Training
- DevOps using VSTS & Azure training on 11th-13th September. DevOps , Training , VSTS
- TFS 2017 – Adding reports to an existing team project Reporting , TFS2017
- DevOps training in Perth this week DevOps , TFS2015 , Training
- Upgrade your TFS administration skills to TFS 2017 today Uncategorized
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