Monitoring your Virtual Machines with Azure Monitor

You can monitor performance and health of Virtual Machines and Virtual Machines scale sets, running processors and other resources dependencies with Azure Monitoring. This article will help you to prepare for az-303: Microsoft Azure Architect Technologies.

Introduction

Azure Monitoring is a product that helps you to:

• Deliver predictable performance and availability
• Identify performance bottlenecks and existing network issues
• Identify other dependencies issues and external storage.

What kind of VMs supported?

• Azure VMs
• Azure VMs scale sets
• Hybrid VMs connected with Azure Arc
• On-premises virtual machines
• Virtual machines hosted in another cloud environment like AWS

How to configure VMs for Azure Monitoring

1. Create a Log Analytics Workspace
2. Add VMInsights solutions to the Workspace.
3. Install agents on virtual machine and virtual machine scale sets.

Limitations on Linux VMs

1. VMs Red Hat Linux (RHEL)6 does not support “Available Memory” feature from Azure Monitoring.
2. Metrics are only available for data disks on Linux VMs using XFS filesystems or EXT filesystem family (EXT2,EXT3,EXT4)

Monitoring

Once you have created VM in azure then you can see insights under Monitoring group of VMs. You can enable monitoring for the virtual machine which will install the agent on VM to work with Azure Monitor.

You must connect to Log Analytics Workspace also. Then after 5–10 mins VM will start sending data to the Azure Monitoring. All the data goes to Azure Analytics Workspace. You see 3 kinds of data in Azure monitoring.

Map

List of processes running on virtual machine, which port, IP address, VM properties

Performance

Logical disk, size, percentage of use, CPU utilization.

Health

Health of the VM

Log Analytics Workspace

Log Analytics workspace helps us to:

• Creates alerts when CPU goes high etc.
• Use Kusto Queries(KQ) Language to search and analyze logs
• Connect with other Azure services like Azure Sentinel for security analytics for entire enterprise.

Thanks for reading my article till end. I hope you learned something special today. If you enjoyed this article then please share to your friends and if you have suggestions or thoughts to share with me then please write in the comment box.

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