Best Server Monitoring Software for Dell EMC Avamar

Monitor your servers, containers, and applications, in high-resolution and in real-time. Netdata collects metrics per second and presents them in beautiful low-latency dashboards. It is designed to run on all of your physical and virtual servers, cloud deployments, Kubernetes clusters, and edge/IoT devices, to monitor your systems, containers, and applications. It scales nicely from just a single server to thousands of servers, even in complex multi/mixed/hybrid cloud environments, and given enough disk space it can keep your metrics for years. KEY FEATURES: Collects metrics from 800+ integrations Real-Time, Low-Latency, High-Resolution Unsupervised Anomaly Detection Powerful Visualization Out of box Alerts systemd Journal Logs Explorer Low Maintenance Open and Extensible Troubleshoot slowdowns and anomalies in your infrastructure with thousands of per-second metrics, meaningful visualisations, and insightful health alarms with zero configuration. Netdata is different. Real-Time data collection and visualization. Infinite scalability baked into its design. Flexible and extremely modular. Immediately available for troubleshooting, requiring zero prior knowledge and preparation.

Evaluate essential performance metrics for your storage, SAN, and LAN equipment to enhance your vital IT infrastructure. This approach offers a comprehensive mapping visualization across cloud services, containerization, server virtualization, and databases. Its leading performance-monitoring tool features a unique web-based interface that allows for graphical analysis of performance utilization within a virtualized setting. Users can easily access the utilization statistics of any connected storage device, presented in a straightforward graphical format that is understandable for both technicians and management. By introducing a user-friendly solution, it facilitates improved capacity planning for your highly virtualized environment. The Stor2RRD tool effectively delivers insights on performance, capacity, configuration, and overall status. This enables swift identification of load irregularities and assists in pinpointing issues at the infrastructure level, ultimately leading to a more efficient operational framework.