Capabilities of the eG VM Monitor for Citrix XenServers

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Combined external and an internal views of Citrix XenServers	Real-time performance views of what the XenServer host sees about the guest VMs and what the guests see internally.
Deep diagnostics for XenServers	With a few clicks, drill down to the exact processes causing a problem.
Automatic correlation of performance	Analyze performance across layers of the VM infrastructure - the XenServer host, between the host and the guests, and across VM guests.
Monitor virtual environments with service views - not as silos	Correlate the performance across applications hosted on XenServers, discover VM dependencies, and identify performance bottlenecks.
Single agent licensing for Citrix XenServers	One agent monitors the hypervisor, the control domain, and all the VM guests.
Compatible with Citrix XenMotion	Detect live migration of virtual machines across Citrix XenServers, and determine the efficiency of XenMotion.
Extensive Reporting	Customizable executive and operations reports on every aspect of your XenServers. Identify bottlenecks in real-time, and plan the capacity of your XenServer farm.

Multi-tier IT infrastructures are a nightmare to troubleshoot because of the dependencies that exist between application tiers. For instance, a failure in the database tier could result in slow downs in the application and web server tiers. Hence, monitoring solutions that view the infrastructure as independent silos cannot effectively monitor and diagnose problems in such infrastructures. The addition of virtualization to such infrastructures makes monitoring and management of these infrastructures even more challenging!

Fig 1: A problem in one application can affect all the other applications involved in the service delivery.

Fig 2: Excessive disk reads by the media server slow down Oracle database accesses

Since a single VMware^® ESX/ESXi Server is used to host multiple virtual machines (VMs), a single malfunctioning application on a VM can degrade the performance seen by applications hosted on the other VMs. Figures 1 and 2 illustrate such an example. In this scenario, users are experiencing slowness in their access to a web-based service. From the service topology, it is clear that the database server is the cause of the slowdown. Figure 2 illustrates that since the database server is hosted on the same ESX/ESXi server as a media server, high I/O activity due to increased access to the media server is resulting in the database server seeing slow disk accesses. To accurately diagnose the problem in this example, a monitoring solution must not only consider the inter-dependencies between applications that are involved in service delivery, but it must also consider the existential relationships between applications, virtual machines, and physical machines. Besides resource contention among guest virtual machines, applications executing on the ESX/ESXi service console can also affect the performance of the virtual infrastructure.

While knowing which VM is consuming excessive resources is helpful, it is even more important to understand whether the VM's behavior is normal. For instance, a memory leak in one of the applications executing inside a VM may be causing the VM's memory usage to increase over time. In such cases, it is essential that the monitoring solution be able to look in-depth into each guest VM and detect abnormalities. While deploying individual agents inside each VM provides this level of visibility, this can result in additional resource overhead, licensing fees, and maintenance cost.

Performance degradations in a virtual infrastructure may also be because a virtual machine has not been configured with sufficient resources to handle its workload. A monitoring solution must be able to differentiate problems resulting from inadequate virtual machine configuration and those resulting from hot-spots created by uneven distribution of load across ESX/ESXi servers.