Azure

We already have some scripts in the scripts directory. It would be good to run them for every PR.
This is also a great task for beginners.

In our database projects we have several scmp-files with pre-configured schema compares.
As now I can use the files by opening the Schema Compare from the context-menu on the connection, and then click Open .scmp-file.

If I try to open the file from the file explorer or the project explorer I only get the underlaying XML-file, which mostly often isn't very useful.
It would be great to op

My company uses a lot of EC2 instances which only run during business hours and are stopped otherwise. Would it be possible to add an 'hours per month' or 'percent usage per month' field to the usage file to account for this use case?

For instance, we might estimate costs based on 180 hours per month rather than 730 for the instances, but the disk subresources are still charged at the full mont

The https://github.com/nccgroup/ScoutSuite/blob/master/ScoutSuite/providers/gcp/rules/findings/iam-lack-of-service-account-key-rotation.json finding should only flag USER_MANAGED keys (https://cloud.google.com/iam/docs/reference/rest/v1/projects.serviceAccounts.keys), as SYSTEM_MANAGED keys are "managed and rotated by Google"

Describe the issue
Checkov cli output is heavily targeted for a dark background. Using a light theme makes it very hard to read.
Is there a way to remove color or control the theme used?

Version:

• Checkov Version 2.0.1050

Additional context
Small search I found you use termcolor: https://github.com/bridgecrewio/checkov/blob/d55c68ff909c65e341e91938c13a155c99601f5f/checkov/c

I feel the need to document the use case where you need to link an azure function to the cosmos DB database using the connection string.

Assume you have declared a cosmosdb resource in your TF script like this

resource "azurerm_cosmosdb_account" "db" {
..
}

and now you want to define the connection string in you your azure function:

resource "azurerm_function_app" "fun

I have a simple regression task (using a LightGBMRegressor) where I want to penalize negative predictions more than positive ones. Is there a way to achieve this with the default regression LightGBM objectives (see https://lightgbm.readthedocs.io/en/latest/Parameters.html)? If not, is it somehow possible to define (many example for default LightGBM model) and pass a custom regression objective?

My goal is to view the available/installed artifacts on a VM in dev test lab.

By calling:

az lab vm show --lab-name $DevTestLabName --name $VmName--resource-group $ResourceGroupName

It displays a json response in which there is an "artifacts" property but its value is null.

When I try to use the --expand parameter as it is described in the documentation it returns an error:

Description

New-AzPortalDashboard fails to parse a hashtable converted from a JSON dashboard definition downloaded from the portal.
The attached JSON dashboard definition was downloaded from an existing simple dashboard definition created in the portal in order to test creating a new dashboard definition using PowerShell. The commands and output are shown below.

[portal.txt](https://git

There is several tests that call httbin or bing, and they can't pass if there is no network. Need to find a way todo an actual HTTP request, with the less possible mock so we're confident it's working as expected.

I think I remember httpbin can be install locally, maybe that?

To investigate.