Provides a systemd journal logs explorer, to view, filter and analyze system and applications logs by directly accessing systemd journal files on individual hosts and infrastructure-wide logs centralization servers.įully automated in every aspect: automated dashboards, out-of-the-box alerts, auto-detection and auto-discovery of metrics, zero-touch machine-learning, easy scalability and high availability, and CI/CD friendly. It supports several notification methods to let you know when your attention is needed. Trains multiple Machine-Learning (ML) models for each metric collected and detects anomalies based on the past behavior of each metric individually.Ĭlear 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.Ĭomes with hundreds of alerts out of the box to detect common issues and pitfalls, revealing issues that can easily go unnoticed. □ Real-Time, Low-Latency, High-ResolutionĪll metrics are collected per second and are on the dashboard immediately after data collection. Operating system metrics, container metrics, virtual machines, hardware sensors, applications metrics, OpenMetrics exporters, StatsD, and logs. □ Collects metrics from 800+ integrations 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. 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. Netdata collects metrics per second and presents them in beautiful low-latency dashboards. MENU: WHAT IS NEW | GETTING STARTED | HOW IT WORKS | FAQ | DOCS | COMMUNITY | CONTRIBUTE Monitor your servers, containers, and applications,
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