Paessler's PRTG Network Monitor and the free Webserver Stress Tool are two powerful performance test tools, that can help you ensure the continuous and smooth running of your network, servers and website. You should run regular tests which determine the loads that your system has to withstand.

PRTG: Network Performance Test Tools

PRTG is a comprehensive network monitor which measures network bandwidth and traffic, and checks the availability of network devices, alerting you when a downtime occurs, or when a network bottleneck is threatening your network's performance. Detailed bandwidth usage data is available thanks to PRTG's SNMP, packet sniffer, and NetFlow monitoring capabilities. These tools allow you to see how much network traffic is being generated at peak times, enabling you to buy hardware and bandwidth accordingly in order to ensure the ongoing good performance of your network.

In addition, availability monitoring shows you when network devices are slow to react, SNMP and WMI monitoring indicate factors such as CPU load, disk and memory usage, processor temperatures, etc., and are therefore ideal server monitoring and performance test tools.

PRTG is often called MRTG for Windows, but it offers much more: while MRTG is only an SNMP client, PRTG supports - even in the free network monitor version - many more protocols. It includes a variety of specialized sensors which convert the software not only into great performance test tools, but also into a VMware monitor, VoIP monitoring software, etc. Moreover, the network monitoring tools by Paessler are indispensable for network troubleshooting as they give you both a full view of your network and collect log messages from network devices (e.g. acting as an SNMP server and a syslog server).

Test Your Websites' Performance Using Our Web Server Stress Tool

The Web Server Stress Tool Freeware is a performance test tool that enables you to test how your web server reacts under normal and extreme loads, simulating hundreds or thousands of users accessing your website at the same time.

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