Netdata

Netdata collects metrics every second and presents them in beautiful, low-latency dashboards. It is designed to run on all your physical and virtual servers, cloud deployments, Kubernetes clusters, and edge/IoT devices to monitor your systems, containers, and applications. Even in complex multi/hybrid/multi-cloud environments, it scales seamlessly from a single server to thousands, and with sufficient disk space, it can store your metrics for years. Key Features: 💥 Collects metrics from over 800 integrations OS metrics, container metrics, virtual machines, hardware sensors, application metrics, OpenMetrics exporters, StatsD, and logs. 💪 Real-time, low-latency, high-resolution All metrics are collected every second and displayed on dashboards immediately after collection. Netdata is built for speed. 😶🌫 Unsupervised anomaly detection Trains multiple machine learning (ML) models for each collected metric and detects anomalies individually based on past behavior. 🔥 Powerful visualizations Clear, precise visualizations help you quickly understand any dataset, with the ability to filter, slice, and dice data directly on the dashboard—no query language required. 🔔 Out-of-the-box alerts Comes with hundreds of preconfigured alerts to detect common issues and pitfalls, uncovering problems that are easily overlooked. Supports multiple notification methods to alert you when attention is needed. 📖 systemd Journal Explorer Explore and analyze systemd logs, individual host logs, and centralized logs across your infrastructure. Navigate through system and application errors and anomalies with intuitive, interactive dashboards. 😎 Low maintenance Fully automated in every aspect: automatic dashboards, out-of-the-box alerts, auto-detection and discovery of metrics, zero-touch machine learning, easy scalability, high availability, and CI/CD-friendly. 🔓 Open and extensible Netdata is a modular platform that can be extended in every possible way and integrates seamlessly with other monitoring solutions.

Netdata is a distributed, real-time health monitoring platform for systems, hardware, containers, and applications, collecting metrics at high resolution and providing low-latency dashboards. It accelerates troubleshooting with AI-driven insights, helping teams quickly identify issues, understand root causes, and guide fixes.