Azure Backup – App Consistent

Diagram showing Linux application-consistent snapshot by Azure Backup.

Recently I migrated some Linux Systems with Azure Migrate from a VMWare environment to Azure. We also used Azure Backup to have a daily backup of all VMs and of all Databases as well, but we had not application consistent one. I needed some troubleshooting time to figure out how it works. This step by step guide shows an example how I did it and how to prepare a test environment. This includes how to installs MySQL, creating a Database and how to configure Azure Backup to have an app consistent Backup.

  1. Install MySQL
  2. Create a Database
  3. Configure Azure Backup

Install MySQL


To follow this guide you need to use (because I did 😉 ):
– Ubuntu 20.04

$ sysop@linux01:/$ sudo apt update


$ sysop@linux01:/$ sudo apt install mysql-server

$ systemctl status mysql.service


Create Test DB

$ sudo mysql
mysql> create database techguysdb;

mysql> show databases;


Configure Azure Backup

To configure Azure Backup you need to do the following:

  1. Download and prepare VMSnapshotPluginConfig.json
  2. prepare pre and post script
  3. enable Azure Backup for your Linux VM
  4. shutdown Linux VM and do a backup
  5. start Machine and do a second backup


I followed the Microsoft documentation

First we need to download the VMSnapshotPluginConfig.json file here:

“pluginName” : “ScriptRunner”,
“preScriptLocation” : “”,
“postScriptLocation” : “”,
“preScriptParams” : [“”, “”],
“postScriptParams” : [“”, “”],
“preScriptNoOfRetries” : 0,
“postScriptNoOfRetries” : 0,
“timeoutInSeconds” : 30,
“continueBackupOnFailure” : true,
“fsFreezeEnabled” : true

This file contains different values that need to be changed to fit to the current environment. My file look like this:

“pluginName” : “ScriptRunner”,
“preScriptLocation” : “/scripts/”,
“postScriptLocation” : “/scripts/”,
“preScriptParams” : [“”, “”],
“postScriptParams” : [“”, “”],
“preScriptNoOfRetries” : 2,
“postScriptNoOfRetries” : 2,
“timeoutInSeconds” : 30,
“continueBackupOnFailure” : false,
“fsFreezeEnabled” : true

I changed “script location” and “continueBackupOnFailure” (this change helped me to see an error message within azure backup jobs, if one script fails)

VMSnapshotPluginConfig.json need to be copied to “/etc/azure”. If this do not exit, simply create. After that we need to change the permission to that file that only “root” has read and write permissions.

sysop@linux01:/etc/azure$ sudo chmod 600 VMSnapshotPluginConfig.json

Output of ls -l:

Pre and PostScript

To have a pre and a post script I used the examples from veeam

my pre-script looks like this:

my post script looks like this:

both scripts must be copied to the Linux system. I copied it to /scripts. Next important task is to set permissions to 600 to both files otherwise azure backup will fail.

sysop@linux01:/scripts$ sudo chmod 600
sysop@linux01:/scripts$ sudo chmod 600


enable Backup for a Virtual Maschine

if the backup is enabled it looks like this. It is only configured but has never been executed. Restore points overview shows no backup.

1st Backup

Very important is that the first Backup needs to be done when the virtual machine is deallocated!

then run backup-job as configured

The Backup includes two steps. 1st take a snapshot, second is to copy data to the vault.

When the snapshot task is done the linux-system can be started and our vault shows a crash consistent backup

2nd backup

if the VM is up and running all scripts and config files are in place we can trigger the second backup. now the service should use all configuration and the result should be an app consistent backup 🙂

and here we go…

Hope that step by step guide helps to get this working.

Deploy Azure Arc enabled Data-Services on Nutanix Karbon

While most of you already have container workloads deployed in different flavors on-premise, the ability to deploy Cloud PaaS Services into your on-prem container is a relatively new thing. With the announced support for Azure Arc enabled Data Services on Karbon it is possible to deploy Azure managed SQL instances or PostgreSQL Hyperscale Services to your Arc managed Nutanix Karbon Kubernetes Cluster.

In this post i will guide you thru the process to deploy a Karbon Cluster, register it to Azure Arc, create a Data Controller, a custom location and a PostgreSQL Instance on your on-premise infrastructure.

Create a Karbon Cluster

To create your Karbon Cluster you have to enable Karbon on your Prism Central instance. Note that a IPAM enabled Network is required. Prism need to control the Network where the Kubernetes Clusters are deployed.

Example for a Production Cluster. You can choose the Dev Option as well.
Name the Cluster and Choose the Version and Host OS Image.
Choose the Nutanix managed Network and decide how much worker and etcd Ressources you need. If you have a external Load Balancer you can use it, or go with the Active-Passive Control Plane.
I used the default values here.
Fill out the needed Data to provide Storage Services to your Cluster.
Ready deployed Cluster in the Karbon Console.

Register Karbon Cluster to Azure Arc

To link your Kubernetes Cluster to Azure you need a Subsription where you are able to deploy resources in. The Service User needs Contributor und Monitoring Metrics Publisher rights.

The Prerequisites are:

  • A new or existing Kubernetes cluster
    The cluster must use Kubernetes version 1.13 or later (including OpenShift 4.2 or later and other Kubernetes derivatives).
  • Access to ports 443 and 9418. Make sure the cluster has access to these ports, and the required outbound URLs
  • Azure CLI
  • CLI extensions. Install the latest connectedk8s and k8sconfiguration CLI extensions.
  • Helm 3
  • Kubeconfig file with cluster admin permissions (you can download the config from the actions section in the Karbon Portal)
Select the Subscription/Resource Group and choose a Cluster name
Connect to Arc Service

To Connect the Karbon Cluster to Arc you need an elevated Shell with installed Prerequisites and cluster config to connect to your K8s Cluster. You should see the following success page in Azure after Verification.

Next Step is to create a namespace on your Cluster to go through the next steps. Set a custom Namespace with: kubectl create namespace namespace-name –cluster arc-cluster-name

Next Step ist to create a Data Controller and deploy it to your Arc managed Cluster. In this Example i connect to with direct-connectivity mode. There is also a option to connect in indirect connectivity mode.

Fill out the needed Fields Data controller name and create a custom location. Select “azure-arc-kubeadm” as the Kubernetes configuration template and select “onpremise” as the Infrastructure.

To get the correct Data storage class from your Kubernets Cluster run “kubectl get storageclass” in an elevated promt. In my case i have “default-storageclass”.

At Service Type choose Node Port.

At the end we need a Service Principal to Upload usage Data and logs.

To create it use:

az ad sp create-for-rbac –name SP-Name –role Contributor –scopes /subscriptions/subscription-id/resourceGroups/ressourcegroup-name


az role assignment create –assignee SP-ID –role ‘Monitoring Metrics Publisher’ –scope /subscriptions/subscription-id/resourceGroups/ressourcegroup-name

to get the Client Secret from your Service Prinzipal use:

az ad sp credential reset –name SP-Name

The Deployment take a while till the Controller is up and in ready state, so catch a cup of coffee 😀

When youre Data Controller is Ready. You can create SQL Managed Instances or PostgresSQL Hyperscale server group. In this example i create a Postgres Instance.

This will take a few minutes. You can watch the progress with the Kibana Instance which was automatically deployed from Karbon to you Cluster. Navigate to the Cluster and under Add-On you can Launch Kibana. With LogTrail you can view and filter real time events and see what´s going on on your Cluster and deployment of your instance.

Ready Deployed Instance

As you can see, we got an External Enpoint to Connect to the instance and see the Health of the Service. The Server Group Nodes where the Server Group runs on and the Node configuration.

Next we hop to our Azure Data Studio and connect to the Data Controller to manage the Instance.

To add a Data Controller just klick Connect Controller and fill out the needed Fields Namespace, Kube Config File Path and give it a name. After Discovery you can right click the instance and manage it.

Connected Azure Data Studio

You can view your connections Strings, Worker Node Parameters or Edit Compute + Storage Settings of your Server Group, or jump to Kibana or Grafana to get insights from your Instance. Some Metrics are also available in the Azure Portal on the Metrics.

Metrics in the Azure Portal

Now you can play around like Scale up Worker Nodes, push Data to the Database or what else you like to see.

I hope this short walk thru helps a little bit to get this up an running for testing.

Cluster-based Licensing for Prism Central

With the freshly released Version pc.2021.8 of Prism Central, Nutanix integrates new Features to licence Clusters under Prism Central management.

With cluster-based-licensing you were able to choose the license level of a managed cluster. But with this update some changes apply in how you have to apply licenses in the future.

Licence Options Example

The benefits of this new way to apply licences to your managed environment is, that you can choose a different tiers of licences for each cluster under management. For example you need Ultimate Features for Cluster X, but only Pro Features for Cluster Y. For Dev or Testing Clusters you can even leave the Cluster unlicensed, but every node in a cluster must have the same licence tier.

Nutanix changed the way it handles licence features with cluster-based-licencing in this release, because if you access a feature which is within a higher licence tier, the feature is disabled and PC displays a “Feature Disabled” message. The pulled data from a managed cluster which uses widgets or reports from a higher tier feature is filtered out.

The metering Types available are capacity and nodes, based on cluster, for each node. Flow and Calm is available as Core also.

The Feature comes with the following Limitations (copied from the License Manager Guide out of the Nutanix Portal):

  • Cluster-based licensing is not available for dark site clusters or deployments where clusters are not connected to the Internet.
  • To use Prism Central cluster-based licensing, Prism Element AOS clusters registered with Prism Central must be licensed with an AOS Starter, AOS Pro, or AOS Ultimate license.
  • If you have not implemented cluster-based licensing for your managed clusters, you have access to features provided by your existing Prism Central license tier for all clusters registered to Prism Central as usual.
  • When using Prism Central cluster-based licensing, a Prism Element cluster is considered unlicensed if no cluster-based license is applied. Only Prism Central Starter features are available to manage a cluster without a cluster-based licensed applied.
  • If you have not implemented cluster-based licensing for your managed clusters when it is available in your Prism Central version, the next time you update your license from Prism Central (for example, applying a new license or consuming unused existing licenses), the Licensing page at the Nutanix Support portal will now present the cluster-based licensing work flow tasks. That is, you must now use cluster-based licensing for eligible registered clusters.

Flow Pro and Starter Option

If you crawl thru the information’s on the Nutanix portal some Screenshots show some of the upcoming add-on tiles Tiers.