Deploying your environment locally

[EY-glowglowglow]

Please refer here for instructions, and comment below if you get any errors with a screenshot of your error.

[AnishDixit]

I was following the azure setup instruction 1b. Getting started: Azure Environment, when I received the following when deploying a data science environment. It showed that a VM Instance could not be created due to size limited exceeded for given region. I had put the region as Australia East only as recommended. Please advise on what to do.

[EY-glowglowglow]

This could be related to a quota limit already reached. As a first step, please deallocate any existing VMs before deploying a new one.
If that does not work, please try one of the following:
• If you are using Azure for Students, you will not be able to increase the quota. You would need to deallocate existing VMs to deploy new ones.
• If you're using a different subscription (not Azure for Students) you can increase the quota following instructions here. Please note that there may be costs associated with this.

[lovegarg97]

I am facing the same issue. I dellocated existing VMs, still it was not working.

[mohammadshaheer4]

I'm facing a similar error. I don't have any existing VM's but still, I'm facing the error. Is there a workaround?

[EY-glowglowglow]

Hi there, @lovegarg97 @mohammadshaheer4 can you please try Australia Southeast instead of Australia East? Thank you!

[data-adrian]

Hello,

I have followed the instructions and setup the env, but when I run dc = Datacube(), I get the following error. Is there an existing solution for this?

IndexSetupError:

No DB schema exists. Have you run init?
datacube system init

[ymisra]

I am facing the exact same problem

[EY-glowglowglow]

@alexgleith can you have a look at this please?

[alexgleith]

Is this from launching your instance from a template, or a self-managed instance?

If it's from a template, I recommend destroying your resource group and starting again.

If it's manual, please follow these steps: https://github.com/EY-Data-Science-Program/2021-Better-Working-World-Data-Challenge/wiki/1c.-Getting-started:-Local-Environment#step-3-populate-the-data-cube