NetCrunch is a powerful, scalable, all-in-one network monitoring system built for modern IT environments. It supports agentless monitoring of thousands of devices, covering SNMP, servers, virtualization (VMware, Hyper-V), cloud (AWS, Azure, GCP), traffic flows (NetFlow, sFlow), logs, and custom data via REST or scripts.
With 670+ monitoring packs and dynamic views, it automates discovery, configuration, alerting, and automates self-healing actions for efficient remote remediation in response to alerts. Its node-based licensing eliminates sensor sprawl and complexity, providing a clear, cost-effective path to scale.
Real-time dashboards, policy-driven setup, advanced alert tuning and 40+ alert actions including remote script execution, service restart, process kill or device reboot-make NetCrunch ideal for organizations replacing legacy tools like PRTG, SolarWinds, or WhatsUp Gold. Fast to deploy and future-proof.
Can be installed on-prem, self-hosted in the cloud, or mixed.
Learn more
Cloud-based observability solution that helps businesses track and manage workload and performance on a unified dashboard.
Monitor everything you run in your cloud without compromising on cost, granularity, or scale. groundcover is a full stack cloud-native APM platform designed to make observability effortless so that you can focus on building world-class products. By leveraging our proprietary sensor, groundcover unlocks unprecedented granularity on all your applications, eliminating the need for costly code changes and development cycles to ensure monitoring continuity.
100% visibility, all the time.
Cover your entire Kubernetes stack instantly, with no code changes using the superpowers of eBPF instrumentation.
Take control of your data, all in-cloud.
groundcover’s unique inCloud architecture keeps your data private, secured and under your control without ever leaving your cloud premises.
Learn more
C3 AI Sensor Health
C3 AI® Sensor Health ensures the operational effectiveness of IoT devices and network infrastructure during both the deployment and the operational life cycle of IoT devices. Visualize sensor status, deployment progress, and geographic regions of concern, and access a prioritized view of sensors with identified health issues. Identify sensor deployment issues, diagnose the source of sensor malfunctions, optimize field service, and forecast future deployment progress.Ensure device installation information is correct, consistent, and current across source and cloud data systems. Monitor and analyze physical integrity, functionality, and communication of sensor devices to optimize field service and issue resolution. Visualize planned sensor deployment, actual deployment and provisioning progress, device operational issues and trends, and service work priorities. Present analyses and summarize results using preformatted and custom reports, including failure analysis, health analysis, etc.
Learn more
