Virtualization

From an architectural standpoint, there are many benefits to virtualizing Web application delivery resources. There are profound savings in better use of existing infrastructure, increased and more transparent application availability, and simplified application image management.

While delivering these benefits, the act of virtualizing also adds complexity to the task of effectively managing the performance of the Web applications. For every one physical server being monitored there may be three or four virtual servers, running on unknown hardware, tasked with delivering Web applications which span many business units or IT infrastructure silos. Complicating this scenario is the fact that these virtual machines can each be configured to run an identical common set of applications in an attempt to create a pool of applications for high-availability.

This distributed delivery method compromises IT visibility and traceability when trying to identify the root cause of performance problems that impact end user experience. With virtual servers sharing a common set of physical CPUs, and with applications depending on any number of virtual machines, previous-generation monitoring technologies are unable to tell you where or why a problem is occurring. You need a product that is designed to manage these distributed environments, and provide you monitoring insight from browser to application server.

Symphoniq's TrueView gives you unprecedented visibility into the dynamic paths which your users' transactions are taking, and helps you understand where the bottlenecks exist in every one of your virtualized Web applications, using your end users as the ultimate litmus test for how your application are performing.

TrueView starts by monitoring every end user to determine what the response time for their request is, as experienced in the browser. For any transaction that violates a threshold you've set, TrueView gathers, correlates, and presents data about every physical or virtual server, method call, and SQL query touched over the course of the transaction. This data helps your IT team rapidly identify the "slowest common denominator" in your application so that the bottleneck can be optimized out of the call stack.