Maintaining the working state of 3-4 computers in an office is rather easy. But, maintaining 5-10 computers is much more difficult. Maintaining two dozens computers turns into a hard and complicated process, which requires certain professional skills. And, how about maintaining hundreds of computers? In fact, it is almost impossible without a number of special tools.
However, such tools are very useful for maintaining computers, regardless of their number. Remote Performance Observer is a really good tool for performing tasks, such as monitoring and diagnostics. Being composed of multiple Data Servers for each observed machine and one Client application for data processing and visualization, RPO allows you to control virtually any parameter of remote computers in your network. The software collects information about the usage of different resources such as the memory, the processor, the hard drive, as well as services such as, protocol states, OS state (page files, running processes), and finally, detailed information about processor and memory usage, threads and so on regarding running applications. The data can be easily visualized in different ways, in the form of lists, graphs, reports, and indicators. For timely reaction to critical parameter values, you can define customizable alarms capable of logging, sending e-mails, playing sounds and so forth. Moreover, the software provides expert diagnosis on performance bottlenecks.
Install Remote Performance Observer and have the state of all your computers right before your eyes.
Remote Performance Observer 3.0 Distributed system providing detailed information on computers in a network. It performs real-time monitoring of system-critical parameters making it possible to diagnose existing
Remote-management package delivers Web-based help desk 3am Labs extended its line of remote management products on Monday, delivering a Web-based help desk platform that allows administrators to gain control of a remote system to resolve problems without having to preinstall any software.