VMWare provides the most comprehensive solution for server virtualization today. Since many businesses depend on the availabilty of these servers, use of virtual machine monitoring tools is vital. ManageEngine Applications Manager provides comprehensive performance metrics to monitor your VMware ESX/ESXi servers and their guest virtual machines, and helps you ensure they are performing well at all times. Applications Manager connects with VMware ESX/ESXi servers through APIs and determines the health status as well as the performance of host servers and their corresponding virtual machines.
With out-of-the-box reports, graphical views, alarms, thresholds and comprehensive fault management capabilities, administrators can maximize ESX server uptime and ensure that the guest virtual machines of the ESX/ESXi servers are running at peak performance.
Some of the virtual machine metrics provided by Applications Manager's virtual machine monitoring tool include:
Monitor the current availability and health status of the virtual machines. Troubleshoot problems through the Root Cause Analysis (RCA) window. Know what portion of the ESX Server's CPU is used by each virtual machine and which virtual machine is consuming more CPU.
Also identify the hardware details of the ESX Server through hardware monitoring and minimize server downtimes caused due to a faulty hardware component.
Avoid the problem of your virtual machines running out of memory. Get notified when the memory usage is high or memory becomes dangerously low. Metrics shown include consumed memory, active memory, overhead memory, shared memory, granted memory, reserved memory, etc.
Get an overview of the virtual machines that are consuming your resources and take necessary action. Metrics provided include Top CPU consumers, Top Memory Consumers, Top Disk I/O consumers, Top Network consumers and the health history of each virtual machine.
ManageEngine Applications Manager's virtual machine performance monitoring tool also provides out-of-the-box reports that help analyze the overall performance of virtual machines and help in capacity planning.