henrygd/beszel
Beszel
Beszel is a self-hosted server monitoring platform designed to track real-time performance metrics across multiple host systems and containerized environments. It functions as a centralized dashboard that aggregates data on processor, memory, disk, and network usage, providing visibility into both host-level infrastructure and individual container workloads.
The system utilizes lightweight agents to collect performance data, which is then streamed to a central hub and stored in a local relational database. It distinguishes itself through a real-time analytics engine that uses persistent bidirectional network connections to push live statistics and alert notifications directly to the user interface.
Beyond basic monitoring, the platform includes an event-driven engine for configuring custom resource thresholds and proactive health alerts. It also incorporates administrative controls, including role-based access management and support for external authentication providers, to facilitate secure multi-user access. The system further ensures operational continuity by automating the backup and recovery of historical monitoring data and configuration settings.
Features
- System Usage Monitoring - Provides a centralized interface for visualizing performance data from host systems and containers.
- Server Dashboards - Provides a lightweight dashboard for tracking real-time system and container performance.
- Real-Time Communication - Provides persistent bidirectional communication to stream live system performance metrics and alert notifications to the dashboard interface.
- Health Monitoring - Manages system resource thresholds and user access to ensure stable and secure server operations.
- Metric and Performance Monitors - Collects and visualizes real-time performance data from host systems and containerized environments.
- Infrastructure Monitoring - Tracks real-time performance metrics across multiple host systems and containerized environments.
- Alerting Systems - Provides proactive notifications based on custom hardware health thresholds.
- Container Monitoring Tools - Visualizes CPU, memory, disk, and network usage specifically for containerized workloads.
- Metric Collection - Collects and streams system-level performance metrics from lightweight agents to a central hub.
- Threshold Monitoring - Evaluates metric streams against user-defined limits to trigger proactive health alerts.
- Monitoring and Status - Lightweight server monitoring with Docker statistics.
- Monitoring Systems - Lightweight server monitoring with Docker statistics.
- Role-Based Access Control - Manages user permissions and integrates external authentication providers for secure administrative access.
- User Access Management - Controls permissions through role-based settings and external authentication providers for multi-user access.
- Backup and Recovery - Automates the backup and recovery of historical monitoring data and configuration settings.
- Application Persistence Adapters - Uses a local relational database to store historical performance metrics and configuration settings.
- Container Inspection Interfaces - Inspects host-level kernel interfaces to isolate and aggregate resource usage metrics for individual containers.
Star history
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