
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 on-premises and hybrid IT environments. Network traffic analysis supports NetFlow, sFlow, IPFIX, and other flow technologies.
NetCrunch supports 680+ monitoring targets and provides 270+ ready-to-use Monitoring Packs for devices, applications, and operating systems. Licensing is based on monitored nodes and network interfaces rather than individual sensors, checks, or metrics.
Real-time dashboards, policy-based monitoring, advanced alerting, and 40+ automated response actions—including remote script execution, service restart, process termination, and device reboot—support centralized monitoring and automated remediation.
NetCrunch runs on Windows Server and can monitor infrastructure deployed on-premises, in the cloud, or across hybrid environments.
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JDisc Discovery is a comprehensive network inventory and IT asset management solution designed to help organizations gain clear, up-to-date visibility into their IT environment. It automatically scans and maps devices across the network, including servers, workstations, virtual machines, and network hardware, to create a detailed inventory of all connected assets. This includes critical information such as hardware configurations, software installations, patch levels, and relationshipots between devices.
One of the standout features of JDisc Discovery is its agentless discovery process, meaning it does not require the installation of any software on individual devices, reducing deployment time and minimizing network impact. It supports a wide range of protocols (e.g., SNMP, SSH, WMI) to gather data, making it compatible with diverse IT environments, whether they are Windows, Linux, or Unix-based.
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SolarWinds Database Performance Analyzer
Quickly pinpoint performance issues with SolarWinds® Database Performance Analyzer (DPA) while providing expert advice with tuning advisors. Anomaly detection powered by machine learning allows DBAs to proactively optimize databases before small issues become big problems. Real-time analysis with 24/7 monitoring and automated alerts provides the time an error occurred instead of just knowing it was “sometime last week.” DPA helps ease the use of more than 20 cross-platform databases in hybrid, on-premises and cloud environments.
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