Azure Virtual Machines are the virtual machine instances on the Azure platform that are used to create and deliver Windows and Linux Virtual Machines. It is an Azure Native Virtual Machine Manager / Hypervisor that enables in creation and provisioning of instant virtual machines in any set or quantity. It is used to create virtual computers and servers.
How Azure Virtual Machines are used?
- Application Development and Testing- Development groups commonly use VMs because they provide a quick means to create a virtual computer /server with specific configurations required to code and test an application.
- Application Deployment in cloud – Deploying application in cloud help in scaling application in par with underlying requirements and also in keeping application hosting (hardware infrastructure) cost lower.
- Extending in-house datacenter- Using the capabilities of Azure Virtual Network, an organization can create a virtual network (VNET) that’s an extension of their on-premises network. They can add VMs to that VNET and can run Sharepoint, SQL and more applications on those VM’s.
- Disaster recovery – Deploy and run application on Azure VM in case of a disaster on an as need basis. It also eliminates the need for maintaining off site backup recovery infrastructure
How to Monitor Azure VMs?
Like any other computation based cloud services, monitoring Azure virtual machine requires monitoring;
- CPU Utilization and Availability (capacity)
- Data In / Out
- Memory Utilization and Availability (capacity)
- Disk Utilization and Availability (capacity)
- Application level performance / utilization metrics.
How can Netreo helps in monitoring Azure Virtual Machines?
Netreo extends Azure Virtual Machines by providing sophisticated mechanisms to monitor, auto-scale and automate Azure Windows VMs. Netreo hooks into Azure Diagnostics or utilizes a light-weight self-updating agent to provide insight into a wide variety of key performance indicators, logs and more. Netreo allows users to automate numerous recovery procedures through its integration with Azure Management API and Azure Automation.