VMware Monitoring

Get in-depth, actionable insights and a single console to manage all of your VMware, virtual machines, and clusters with Motadata AIOps. A platform made with AI-ML capabilities to execute capacity planning, discover anomalies, and get efficient performance.

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VMware monitoring aids you to monitor VMware ESXI, datastores, VMware datacenter, clusters, virtual machine, virtual networking, and more. It helps locate potential issues by monitoring performance metrics such as CPU, memory, storage, and disk usage.

VMware Performance Monitoring with Motadata AIOps

VMware monitoring is an essential element when it comes to virtual IT infrastructure monitoring. It helps you discover your clusters, data centres, hypervisors, and after monitoring them you can achieve rich analytics, capacity planning and forecasting.

Motadata helps ensure that your resources are appropriately utilized. It also detects anomalies and forecasts potential trends to make strategies. In addition, it provides advanced monitoring of VMware-virtualized servers and a single management console for the whole physical and virtual server infrastructure.

Motadata AIOps, a VMware monitoring tool, can ingest the ESXi logs with the help of the out-of-box dynamic parsers, helping you capture the hypervisor activities, providing you an at glance view across your virtualized infrastructure. In addition, with DRS (Distributed Resource Scheduler) enabled, you can monitor the activities and resolve the issues effectively with root cause analysis.

Motadata discovers the clusters and virtual machines through vCenter and ESXi discovery. It identifies the network elements configured in virtual machines – such as nodes, virtual machines, clusters, data stores, data centers, etc.

Motadata provides information about the cluster’s configuration and device status. Further drill-down instances can be discovered by re-discovering/registering new network components.

Measure Critical KPIs

VMware vCenter lets you manage all virtual machines and clusters under one platform. With Motadata AIOps, a VMware network monitor, you can map all the cluster elements and co-relate with other events as well, providing a holistic view and visibility into metrics of clusters, virtual servers, virtual machines etc.

Monitoring critical metrics helps ensure smooth overall performance. It provides the top performers for every KPI, such as memory usage, CPU percentage, CPU capacity, disk free space, etc.

Some of the important KPIs of VMware monitoring are:

Sr. No. Counter Description
1 vcenter.memory.used.bytes The amount of memory used on the vcenter.
2 vcenter.cpu.used.hz The used clock rate of the CPU.
3 vcenter.resource.pools The count of resource pools in the vcenter.
4 vcenter.virtual.machines The count of virtual machines on the vcenter.
5 vcenter.data center.memory.used.percent The percentage of used memory out of the total memory on the data center.
6 vcenter.data center.cpu.percent The CPU utilisation of data center.
7 vcenter.datastore.used.percent The percentage of used space out of the total space on the datastore.
8 esxi.disk.used.percent The percentage of disk space used for ESXi
9 esxi.cpu.percent The percentage of CPU utilization for ESXi
10 esxi.cpu.ready.seconds The amount of time spent in a ready state for CPU utilization for ESXi
11 esxi.cpu.used.hz The amount of CPU used in hertz for ESXi
12 esxi.running.virtual.machines The number of virtual machines currently running on the ESXi host
13 esxi.network.bytes.per.sec The rate of network traffic in bytes per second
14 esxi.disk.free.percent The percentage of free disk space available on the ESXi host
15 esxi.memory.used.percent The percentage of memory used by the ESXi host
16 esxi.vm.cpu.percent Percentage of CPU time used by the ESXi VM
17 esxi.vm.memory.used.percent Percentage of used memory of the ESXi VM
18 esxi.vm.network.bytes.per.sec Total bytes per second transferred by the virtual machine
19 esxi.vm.disk.used.percent Percentage of disk space used by the virtual machine
20 esxi.network.interface.bytes.per.sec The rate at which bytes are transmitted and received by the network interface.
21 esxi.datastore.used.percent Percentage of used space on the datastore
22 esxi.datastore.read.bytes.per.sec Read bytes per second
23 esxi.datastore.read.ops.per.sec Read operations per second

 

Forecasting & Capacity Planning

Motadata AIOps, a virtual infrastructure monitoring tool, is built with AI-ML abilities, making it an advanced and powerful monitoring solution. It learns from historical data and patterns and predicts potential utilization, helping you to prioritize capacity and license planning.

VM Sprawl management helps you manage the number of virtual machines effectively and keeps you one step ahead by utilizing VMs effectively. Discover under-provisioned and over-provisioned VM servers and optimize them efficiently, getting the best performance out of them.

Motadata AIOps offers many out of the box capacity planning reports. Here’s a list of all VMware capacity planning reports:

VMs on Full Datastores (Less than 2 GB free)
VMs Using More Than One Datastore
VMs With Less Than 1 GB Free Space
VMs With Less Than 10% Free Space
VMs with more than 2 snapshots
VMs With More Than 20 GB Free Space
VMs with old snapshots (older than 30 days)
VMs With One Disk Volume
VMs With One Virtual CPU
VMs With One Virtual Disk
VMs With over 2 GB in snapshots

 

Dashboards, Alerts & Reports

Virtual infrastructures are robust and complex, making it challenging to get visibility and keep an eye on every metric. With comprehensive VMWare monitoring dashboard Motadata AIOps offers a dynamic dashboard, providing all the critical KPIs on one screen and visibility across the IT infrastructure.

VMware Monitoring Dashboard

It provides out-of-the-box pre-configured availability and performance alerts with thresholds, notifying via SMS or Email whenever they are crossed. The critical and prioritized alerts for potential issues save your inbox from overloaded notifications.

Motadata AIOps, which offers VMware monitoring, also provides detailed and rich reports on crucial metrics for every host and server, such as CPU consumption, memory, disk utilization, etc. The reports can be exported in PDF and csv formats, coming in handy to troubleshoot the issues and understand utilization trends. The reports help you make confident decisions for your IT enterprise and improve efficiency, boosting your business revenue.

Motadata AIOps is designed on Deep Learning Framework for IT operations, making it an advanced monitoring solution. It ensures the identification and elimination of potential VM problems and offers smooth hosting. In addition, it monitors your VMware environment proactively and ensures your virtual infrastructure’s best performance and health.

VMware Topology

Motadata VMware monitoring solution encompasses a detailed topology to manage and monitor virtual environments effectively. VCenter is integrated at its core, working as a central hub that oversees virtual environments. This ensures real-time visibility into the health, performance, and usage of virtualized resources.

VMware Topology

Basics of VMware Monitoring

VMware monitoring means the process of overseeing and managing health, usage, and performance of virtualized environments made with VMware technology. It is a widely used virtualized platform that enables various virtual machines to operate on a single server.

A VMware monitoring solution helps enterprises track key metrics such as memory allocation, CPU usage, storage, and network performance within the virtual IT infrastructure.

With the complex and virtual infrastructure, it is vital to execute successful infrastructure operations all the time. With VMware monitoring, the enterprise can achieve high availability, dynamic allocation, and hardware utilization, helping perform efficiently.

You can monitor VM performance using a VMware monitoring solution like Motadata AIOps. You must ensure that the VMware solution is installed on your every virtual machine, as these tools improve communication between host and third-party operating systems. Thus, providing helpful insights into the VM performance.