Performance Engineering & Testing

Optimizing networks, infrastructure and applications to help our customers get the most out of their investments.

Modeling & Simulation

Application Performance Engineering (APM)

Network Performance Engineering (NPM)

Modeling & Simulation

LTG employs a number of techniques to help customers architect and size their systems to meet current customer demands as well as help plan capacity to meet future needs.

Discrete Event Simulators (DES)

discrete-event simulation (DES) models the operation of a system as a (discrete) sequence of events in time. Each event occurs at a particular instant in time and marks a change of state in the system.  Between consecutive events, no change in the system is assumed to occur; thus the simulation time can directly jump to the occurrence time of the next event, which is called next-event time progression..

Statistical Models

statistical model is a mathmatical model that embodies a set of statistical assumptions concerning the generation of sample data (and similar data from a larger population). A statistical model is usually specified as a mathematical relationship between one or more random variables and other non-random variables.

Application Performance Management (APM)

LTG bridges the gap between business needs and tools, providing our customers with the most comprehensive, cost effective solutions.
Our employees have broad experience across a number of technology platforms, manufacturers and protocols and are constantly scanning the industry for new and evolving technologies.
We strive to have the most comprehensive understanding of performance engineering technologies in the industry so you don’t have to. We can help you develop the right visibility and control framework to meet your unique needs.

Network Performance Management (NPM)

Network devices such as routers and switches collect network performance data in the form of “management information bases” (MIBs). These MIBs often vary from vendor to vendor, although there are a few standard MIBs. In general, however, network performance metrics are gathered using varying techniques and in different formats. It can be difficult to utilize such disparate data to effectively diagnose network performance problems. Accordingly, there exists a need for a real-time network monitoring system that collects and normalizes network performance data from a variety of separate sources to facilitate unified management of the network.