
NetCrunch is commercial, self-hosted, agentless network and IT infrastructure monitoring software for Windows Server. It monitors network devices, servers, virtualization platforms, cloud services, applications, websites, logs, telemetry, and network traffic across distributed environments.
NetCrunch supports 680+ monitoring targets and provides 270+ ready-to-use Monitoring Packs for devices, applications, and operating systems. Policy-based monitoring automatically applies monitoring settings, Monitoring Packs, thresholds, and alerts to matching devices and systems. Licensing is based on monitored nodes and network interfaces rather than individual sensors, checks, or metrics.
NetCrunch provides real-time dashboards and automatic Layer 2 and routing topology maps for visibility into network status and performance. Network traffic analysis supports NetFlow, sFlow, IPFIX, and other flow technologies. Its alerting system supports event correlation, dependency-aware suppression, predictive thresholds, escalation, and 40+ automated response actions, including scripts, notifications, API calls, and integrations with external systems.
Distributed Monitoring Probes extend monitoring to remote and isolated locations. NetCrunch also provides a REST API for integration and automation with external IT management, service management, and operational systems.
NetCrunch is self-hosted on Windows Server and can monitor on-premises, air-gapped, cloud, and hybrid IT environments.
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TotalView offers network monitoring as well as root-cause troubleshooting of problems in plain-English. The solution monitors every device as well as every interface on every device. In addition, TotalView goes deep, collecting 19 error counters, performance, configuration, and connectedness so nothing is outside of it’s view. A built-in heuristics engine analyzes this information to produce plain-English answers to problems. Complex problems can now be solved by junior level engineers leaving the senior level engineers to work on more strategic level projects. The core product includes everything needed to run a perfectly healthy network: Configuration management, server monitoring, cloud service monitoring, IPAM, NetFlow, path mapping, and diagramming. Get Total Network Visibility on your network and solve more problems faster.
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Airtool 2
Utilize your Mac's adapter to capture Wi-Fi traffic or employ compatible USB dongles for Zigbee and BLE traffic, while automatically launching Wireshark for thorough post-processing and analysis. The tool provides various flexible configuration options to meet the diverse needs of packet analysis and troubleshooting tasks. It seamlessly integrates with well-known cloud services like CloudShark and Packets, enabling automatic uploads, analysis, or sharing of your captures. Capturing Wi-Fi traffic is crucial for effective protocol analysis; whether addressing issues related to Wi-Fi connectivity, roaming, or configuration, or evaluating the performance of your Wi-Fi network, packet captures are indispensable. Airtool simplifies the process of capturing Wi-Fi packets, making it accessible to users. With its advanced functionalities, such as automatic packet slicing and capture file limits and rotation, Airtool is an essential resource for every wireless LAN expert, ensuring that they can effectively manage their network analysis needs.
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SHARK
SHARK is a versatile and high-performance open-source library for machine learning, developed in C++. It encompasses a variety of techniques, including both linear and nonlinear optimization, kernel methods, neural networks, and more. This library serves as an essential resource for both practical applications and academic research endeavors. Built on top of Boost and CMake, SHARK is designed to be cross-platform, supporting operating systems such as Windows, Solaris, MacOS X, and Linux. It operates under the flexible GNU Lesser General Public License, allowing for broad usage and distribution. With a strong balance between flexibility, user-friendliness, and computational performance, SHARK includes a wide array of algorithms from diverse fields of machine learning and computational intelligence, facilitating easy integration and extension. Moreover, it boasts unique algorithms that, to the best of our knowledge, are not available in any other competing frameworks. This makes SHARK a particularly valuable tool for developers and researchers alike.
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