With complex and more extensive IT enterprises, businesses have started depending on virtual infrastructures for easy accessibility and availability with optimized resource utilization. Motadata AIOps provides a comprehensive VM monitoring solution that offers metric data to monitor the virtual servers and machines across your network. It also helps you ensure that they are performing well.
Motadata contacts the virtual machine servers and examines the host servers’ and virtual machines’ health and performance. The out-of-the-box reports and dynamic dashboards can help IT admins with more visibility into virtual devices and perform fault management and capacity planning. They can also maximize VM server uptime and ensure the guest virtual machines are functioning at their peak performance.
Monitor Health & Performance
Motadata’s monitoring tool is a powerful virtual machine monitoring solution that offers a wide range of monitoring features and capabilities under one console. It also offers critical performance metrics and helps you visualize dashboards with large Meta trends and drill-down analysis. In addition, the advanced alert system helps you stay updated with the ongoing activities and events on your virtual machines.
Motadata allows you to terminate idle virtual machines quickly and provides real-time monitoring of virtual machine performance metrics such as CPU usage, memory usage, and storage. The metrics information allows you to experiment with multiple workload models on your current technical specification and hardware. With this, you can strategize the new investments and ensure that the resources are correctly configured to meet the requirements.
Complete Visibility Across Network
With a comprehensive monitoring tool, you can gain visibility across Hyper-V and VMware performances. Whether your devices are on-premise, hybrid, or in the cloud, it helps you understand your virtual environment more efficiently and resolve the issues of VMware vSphere and Microsoft Hyper-V. In addition, the VM monitoring dashboards let you perfect faster troubleshooting under one dashboard without visiting multiple tools for each hypervisor.
You can get information about the health of your entire environment, be it a server, virtual machine, or storage infrastructure. You can also troubleshoot all the issues with mapping and contexts under one view. Visualize all your virtual machines with topology mapping and get complete visibility across your network architecture.
Motadata AIOps promises to offer end-to-end IT monitoring solutions with absolute ease and efficiency. For example, you can drag and drop the performance metrics from the system data of various resources and display the metric data on a single chart.
The heat map view gives you insights into the virtual machines’ status, health, and performances. In addition, it provides information about the severity, letting you make confident decisions and perform network operations more efficiently.
Manage Different Virtual Machine
With complex requirements and network infrastructure, there can be the possibility of having different virtual machines under one network environment for different purposes, such as VMware, HyperV, Citrix Xen, etc. Therefore, you can monitor and track all the critical performance metrics of different virtual machines under one dashboard.
The comprehensive monitoring solution lets you get visibility into ongoing activities of different virtual machines, be it VMware vSpere, Microsoft Hyper V, or Citrix Xen. Get notified for issues occurred on any virtual machine without changing the monitoring tool.
Monitoring Virtual Machines with Motadata AIOps
It has AI-ML abilities that help you optimize the virtualized infrastructure. Discover the issues faster with dynamic thresholds, minimize MTTR with detailed root cause analysis, prevent issues proactively, and plan future investments with forecasting.
Dynamic and holistic topology mapping shows how data is transmitted across virtual network devices. Set thresholds for critical performance metrics and get notified whenever the thresholds are crossed, helping you streamline troubleshooting. Identify the anomalies for the monitored resources and compare them with the historical data, helping you obtain an efficient virtual environment.