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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Smart, efficient, anonymous People Counters & Analytics to the real world.
Our solution allows for easy deployment, capture, analysis, and reporting of the number people who enter a physical place. Optionally, we can also capture and report occupancy in real time.
We assist Retailers, Universities, Casinos, Places of Worship, Office Buildings, and other industries in analyzing and taking action on their people traffic trends.
We offer a special package for retailers to measure performance on traffic, including conversion rate and service levels. Our direct integrations make it easy to combine POS data with staff data. The Retail Equation simulator lets users run simulations to improve sales. It can also be used as a learning tool to understand how traffic, staffing, conversion rates, and quality service relate.
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Waymo
Waymo, a pioneer in autonomous driving technology, focuses on the development of self-driving vehicles and offers fully driverless transportation services. Initially launched as Google's self-driving car initiative in 2009, it evolved into a standalone subsidiary of Alphabet with the mission of enhancing safety, accessibility, and efficiency in transportation through the use of autonomous technology. Central to its operations is the Waymo Driver, a sophisticated system that integrates artificial intelligence with high-resolution cameras, radar, lidar sensors, and intricate digital maps, enabling vehicles to understand their environment and traverse roads autonomously. The system is designed to constantly evaluate traffic signals, pedestrians, other vehicles, and road conditions to make immediate driving decisions that prioritize safety. Prior to entering a new geographic location, Waymo meticulously maps the area, capturing detailed information about lane markings, signage, and intersections, which is then paired with real-time sensor data to ensure accurate vehicle positioning. This comprehensive approach not only enhances the effectiveness of its technology but also ensures a reliable and secure driving experience for passengers.
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Webots
Cyberbotics' Webots is a versatile, open-source desktop application that operates across multiple platforms, specifically designed for the modeling, programming, and simulation of robotic systems. This tool provides an extensive development environment, complete with a rich library of assets including robots, sensors, actuators, objects, and materials, which streamlines the prototyping process and enhances the efficiency of robotics project development. Additionally, users have the capability to import pre-existing CAD models from software such as Blender or URDF and can incorporate OpenStreetMap data to enrich their simulations with real-world mapping. Webots accommodates various programming languages, such as C, C++, Python, Java, MATLAB, and ROS, which allows developers the flexibility to choose the best fit for their specific needs. Its contemporary graphical user interface, in conjunction with a robust physics engine and OpenGL rendering, facilitates the realistic simulation of a wide range of robotic systems, including wheeled robots, industrial arms, legged robots, drones, and autonomous vehicles. The application sees widespread use in industries, educational institutions, and research environments for purposes such as robot prototyping, AI algorithm development, and testing innovative robotic concepts. Overall, Webots stands out as a powerful resource for anyone looking to advance their work in robotics and simulation technologies.
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