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Query servers disk size – Azure Log Analytics

Log Analytics can be a powerful monitoring tool for your infrastructure as you can query various metrics that are important for your servers availability like disk space.

The below query can be used to get free space for your Linux VM disks.

 InsightsMetrics
| where Origin == "vm.azm.ms"
    and Namespace == "LogicalDisk"  
    and Name == "FreeSpaceMB"
| extend Disk=tostring(todynamic(Tags)["vm.azm.ms/mountId"]),
    Disk_Size_GB=(todynamic(Tags)["vm.azm.ms/diskSizeMB"]) / (1024)
| summarize Disk_Free_Space_GB = avg(Val) / (1024)
    by Computer,
    Disk, Disk_Size_GB, _ResourceId
| where Disk in ('sda1', 'sdb1', 'sdc1', 'sdd1','/')
| project Computer, Disk, Disk_Size_GB, Disk_Free_Space_GB

You can also select the scope of the query in order to get results for specific resources/resource groups.

The result will bring all disks size and free space that their name is included in the list

('sda1', 'sdb1', 'sdc1', 'sdd1','/')

The same query with a small change can be applied also for windows vms in order to get the available space for your C: drive.

 InsightsMetrics
| where Origin == "vm.azm.ms"
    and Namespace == "LogicalDisk"  
    and Name == "FreeSpaceMB"
| extend Disk=tostring(todynamic(Tags)["vm.azm.ms/mountId"]),
    Disk_Size_GB=(todynamic(Tags)["vm.azm.ms/diskSizeMB"]) / (1024)
| summarize Disk_Free_Space_GB = avg(Val) / (1024)
    by Computer,
    Disk, Disk_Size_GB, _ResourceId
| where Disk in ('C:')
| project Computer, Disk, Disk_Size_GB, Disk_Free_Space_GB

Finally you can pin this result inside an Azure dashboard by clicking pin and select the specific dashboard.

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Install linux azure devops agent on docker container

As we previously examined how we can create a containerized azure devops agent running on a windows machine, we will now go through the same procedure but with linux OS.

You can read the windows container azure devops agent article using the below link:

The first thing that you will need is a virtual machine that runs docker. When this requirement is fulfilled you can jump on the image building. In order to build your image you will need your Dockerfile and the instructions for the agent.

You can read the rest of the article on Medium using the link below:

A detailed deployment video can be found on my Udemy course:

https://www.udemy.com/course/mastering-azure-devops-cicd-pipelines-with-yaml/

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Creating Windows/Linux Web App terraform: (Site Name “” / Resource Group “”): web.AppsClient#CreateOrUpdate: Failure sending request: StatusCode=0 — Original Error: autorest/azure: Service returned an error. Status=

I was struggling to create an app service using Terraform with the error shown below. I could not find a way to resolve this as the error message was difficult to interpret.

Creating Windows/Linux Web App: (Site Name "" / Resource Group ""): web.AppsClient#CreateOrUpdate: Failure sending request: StatusCode=0 -- Original Error: autorest/azure: Service returned an error. Status=<nil> <nil>

The code for the service plan was simple enough and I was so confused about this behavior.

resource "azurerm_resource_group" "rg" {
  name     = var.resource_group_name
  location = var.resource_group_location
}

resource "azurerm_service_plan" "app_service_plan" {
  name                = var.app_service_plan_name
  location            = azurerm_resource_group.rg.location
  resource_group_name = azurerm_resource_group.rg.name
  os_type             = "Windows"
  sku_name            = "F1"

}

resource "azurerm_windows_web_app" "app_service" {
  name                = var.app_service_name
  location            = azurerm_resource_group.rg.location
  resource_group_name = azurerm_resource_group.rg.name
  service_plan_id = azurerm_service_plan.app_service_plan.id

  site_config {
    use_32_bit_worker = true
  }
}

In order to resolve I enabled detailed debugging on terraform. As I was using Windows I used on powershell

$Env:TF_LOG = "TRACE"

and then I tried to run terraform apply again.

Terraform will provide detailed information about the running commands, so that I was able to determine the error.

Voila!

AlwaysOn should be disabled as there is a conflict.

In the documentation of azure web app one can find that always on is disabled by default however it does not seem to be correct.

https://registry.terraform.io/providers/hashicorp/azurerm/latest/docs/resources/windows_web_app#site_config

In order to resolve you should add the always_one variable to false.

  site_config {
    use_32_bit_worker = true
    always_on = false
  }

Then you can run terraform apply again, and the resource will be created.

Enable debugging on terraform for your OS:

https://support.hashicorp.com/hc/en-us/articles/360001113727-Enabling-debug-and-trace-run-logs-in-Terraform-CLI-Cloud-or-Enterprise

Update

I perfomed a PR in order to correct the wrong documentation and it has been merged. As a result the documentation will be correct counting from the next deploy.

[Docs fix]Correct docs for resource azurerm_windows_web_app by geralexgr · Pull Request #17051 · hashicorp/terraform-provider-azurerm (github.com)

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Deploy windows and linux virtual machines on Azure using terraform

Terraform is one of the best automation providers for DevOps purposes used by hundred of Engineers. It is an open source tool that can be used by anyone for free. In this article I will explain how to deploy windows and linux virtual machines on Azure using a Terraform template.

First things first you will need to have the az cli installed. Then you will have to set your subscription on your current powershell session.

az account set --subscription "12abc123-4567-1234-12345-asdr4334fsd"

Then you will need to create an app role assignment for your subscription. This will be used from terraform for the provision of the resources.

az ad sp create-for-rbac --role="Contributor" --scopes="/subscriptions/12abc123-4567-1234-12345-asdr4334fsd"

That’s all. You can now deploy your resources through terraform. In the links below I have provided my Github repository along with instructions for the template use.

A tricky part of the deployment is the vm image selection. In order to locate the available azure images names you can use:

az vm image list

Enumeration of available images:

[
  {
    "offer": "CentOS",
    "publisher": "OpenLogic",
    "sku": "7.5",
    "urn": "OpenLogic:CentOS:7.5:latest",
    "urnAlias": "CentOS",
    "version": "latest"
  },
  {
    "offer": "debian-10",
    "publisher": "Debian",
    "sku": "10",
    "urn": "Debian:debian-10:10:latest",
    "urnAlias": "Debian",
    "version": "latest"
  },
  {
    "offer": "flatcar-container-linux-free",
    "publisher": "kinvolk",
    "sku": "stable",
    "urn": "kinvolk:flatcar-container-linux-free:stable:latest",
    "urnAlias": "Flatcar",
    "version": "latest"
  },
  {
    "offer": "openSUSE-Leap",
    "publisher": "SUSE",
    "sku": "42.3",
    "urn": "SUSE:openSUSE-Leap:42.3:latest",
    "urnAlias": "openSUSE-Leap",
    "version": "latest"
  },
  {
    "offer": "RHEL",
    "publisher": "RedHat",
    "sku": "7-LVM",
    "urn": "RedHat:RHEL:7-LVM:latest",
    "urnAlias": "RHEL",
    "version": "latest"
  },
  {
    "offer": "SLES",
    "publisher": "SUSE",
    "sku": "15",
    "urn": "SUSE:SLES:15:latest",
    "urnAlias": "SLES",
    "version": "latest"
  },
  {
    "offer": "UbuntuServer",
    "publisher": "Canonical",
    "sku": "18.04-LTS",
    "urn": "Canonical:UbuntuServer:18.04-LTS:latest",
    "urnAlias": "UbuntuLTS",
    "version": "latest"
  },
  {
    "offer": "WindowsServer",
    "publisher": "MicrosoftWindowsServer",
    "sku": "2019-Datacenter",
    "urn": "MicrosoftWindowsServer:WindowsServer:2019-Datacenter:latest",
    "urnAlias": "Win2019Datacenter",
    "version": "latest"
  },
  {
    "offer": "WindowsServer",
    "publisher": "MicrosoftWindowsServer",
    "sku": "2016-Datacenter",
    "urn": "MicrosoftWindowsServer:WindowsServer:2016-Datacenter:latest",
    "urnAlias": "Win2016Datacenter",
    "version": "latest"
  },
  {
    "offer": "WindowsServer",
    "publisher": "MicrosoftWindowsServer",
    "sku": "2012-R2-Datacenter",
    "urn": "MicrosoftWindowsServer:WindowsServer:2012-R2-Datacenter:latest",
    "urnAlias": "Win2012R2Datacenter",
    "version": "latest"
  },
  {
    "offer": "WindowsServer",
    "publisher": "MicrosoftWindowsServer",
    "sku": "2012-Datacenter",
    "urn": "MicrosoftWindowsServer:WindowsServer:2012-Datacenter:latest",
    "urnAlias": "Win2012Datacenter",
    "version": "latest"
  },
  {
    "offer": "WindowsServer",
    "publisher": "MicrosoftWindowsServer",
    "sku": "2008-R2-SP1",
    "urn": "MicrosoftWindowsServer:WindowsServer:2008-R2-SP1:latest",
    "urnAlias": "Win2008R2SP1",
    "version": "latest"
  }
]

In order to narrow down and find Ubuntu available images (use grep instead of Select-string for Unix environments)

az vm image list-offers -p canonical -l eastus | Select-String name

Ubuntu images names for east us region:

 "name": "0001-com-ubuntu-confidential-vm-experimental",
    "name": "0001-com-ubuntu-confidential-vm-focal",
    "name": "0001-com-ubuntu-confidential-vm-test-focal",
    "name": "0001-com-ubuntu-minimal-focal-daily",
    "name": "0001-com-ubuntu-minimal-groovy-daily",
    "name": "0001-com-ubuntu-minimal-hirsute-daily",
    "name": "0001-com-ubuntu-minimal-impish-daily",
    "name": "0001-com-ubuntu-minimal-jammy-daily",
    "name": "0001-com-ubuntu-private-fips-motorola",
    "name": "0001-com-ubuntu-pro-advanced-sla",
    "name": "0001-com-ubuntu-pro-advanced-sla-att",
    "name": "0001-com-ubuntu-pro-advanced-sla-csw",
    "name": "0001-com-ubuntu-pro-advanced-sla-dd",
    "name": "0001-com-ubuntu-pro-advanced-sla-nestle",
    "name": "0001-com-ubuntu-pro-advanced-sla-servicenow",
    "name": "0001-com-ubuntu-pro-advanced-sla-shell",
    "name": "0001-com-ubuntu-pro-advanced-sla-ub01",
    "name": "0001-com-ubuntu-pro-advanced-sla-unp",
    "name": "0001-com-ubuntu-pro-bionic",
    "name": "0001-com-ubuntu-pro-bionic-fips",
    "name": "0001-com-ubuntu-pro-focal",
    "name": "0001-com-ubuntu-pro-focal-fips",
    "name": "0001-com-ubuntu-pro-hidden-msft-fips",
    "name": "0001-com-ubuntu-pro-microsoft",
    "name": "0001-com-ubuntu-pro-trusty",
    "name": "0001-com-ubuntu-pro-xenial",
    "name": "0001-com-ubuntu-pro-xenial-fips",
    "name": "0001-com-ubuntu-server-eoan",
    "name": "0001-com-ubuntu-server-focal",
    "name": "0001-com-ubuntu-server-focal-daily",
    "name": "0001-com-ubuntu-server-groovy",
    "name": "0001-com-ubuntu-server-groovy-daily",
    "name": "0001-com-ubuntu-server-hirsute",
    "name": "0001-com-ubuntu-server-hirsute-daily",
    "name": "0001-com-ubuntu-server-impish",
    "name": "0001-com-ubuntu-server-impish-daily",
    "name": "0001-com-ubuntu-server-jammy-daily",
    "name": "0002-com-ubuntu-minimal-bionic-daily",
    "name": "0002-com-ubuntu-minimal-disco-daily",
    "name": "0002-com-ubuntu-minimal-focal-daily",
    "name": "0002-com-ubuntu-minimal-xenial-daily",
    "name": "0003-com-ubuntu-minimal-eoan-daily",
    "name": "0003-com-ubuntu-server-trusted-vm",
    "name": "test-ubuntu-premium-offer-0002",
    "name": "Ubuntu15.04Snappy",
    "name": "Ubuntu15.04SnappyDocker",
    "name": "UbuntuServer",

Specific information about an image:

az vm image list -p canonical -l eastus --offer 0001-com-ubuntu-pro-bionic --all --sku pro-18_04-lts

Inside linux or windows folder depending on the resource you want to deploy apply your terraform configuration

terraform init
terraform apply

After the successful run of the terraform script.

In order to delete the environment you can run

terraform destroy

By committing destroy your eight resources that deal with your virtual machine will disappear.

Repository for the code:

https://github.com/geralexgr/terraform-az-lin-win

Video tutorial on YouTube: