Netdata
Software DevelopmentSan Francisco, United States51-200 Employees
Netdata collects metrics per second & presents them in low-latency dashboards. It's designed to run on all physical & virtual servers, cloud deployments, Kubernetes clusters & IoT devices, to monitor systems, containers & apps. It scales nicely from a single server to thousands of servers, even in complex multi/mixed/hybrid cloud environments. Given enough disk space it can keep your metrics for years. KEY FEATURES: π₯ Collects metrics from 800+ integrations OS metrics, container metrics, VMs, hardware sensors, applications metrics, OpenMetrics exporters, StatsD, and logs πͺ Real-Time, Low-Latency, High-Resolution All metrics are collected per second & are on the dashboard immediately after data collection πΆβπ«οΈ Unsupervised Anomaly Detection Trains multiple Machine-Learning models for each metric collected and detects anomalies based on the past behavior of each metric individually π₯ Powerful Visualization Clear and precise visualization that allows you to quickly understand any dataset, but also to filter, slice and dice the data directly on the dashboard, without the need to learn any query language π Out of box Alerts Hundreds of alerts out of the box to detect common issues and pitfalls, revealing issues that can easily go unnoticed. It supports several notification methods to let you know when your attention is needed π systemd Journal Logs Explorer (beta) systemd journal logs explorer, to view, filter & analyze system & apps logs by directly accessing systemd journal files on individual hosts & infrastructure-wide logs centralization servers π Low Maintenance Fully automated: automated dashboards, out-of-the-box alerts, auto-detection & discovery of metrics, zero-touch ML, easy scalability & CI/CD friendly β Open & Extensible Netdata is a modular platform that can be extended in all possible ways and it also integrates nicely with other monitoring solutions