apache/hertzbeat
An AI-powered next-generation open source real-time observability system.
What it solves
Apache HertzBeat is a real-time observability system designed to simplify the monitoring of diverse IT environments. It eliminates the need for installing agents on target systems, reducing deployment overhead while providing a unified platform for collecting metrics and logs, managing alerts, and analyzing system health.
How it works
It operates as an agentless system that supports a wide range of protocols (including HTTP, JMX, SSH, SNMP, JDBC, and Prometheus) to collect data. Users can define monitoring targets by configuring YML templates online. The architecture supports horizontal expansion via multi-collector clusters and cloud-edge collaboration to handle high-performance requirements. It integrates the entire pipeline from collection and analysis to alerting and notification (via channels like Slack, Discord, and Email).
Who it’s for
It is intended for DevOps engineers, system administrators, and SREs who need a high-performance, scalable observability tool that can monitor application services, databases, caches, operating systems, and cloud-native infrastructure without the friction of agent installation.
Highlights
- Agentless Architecture: Collects metrics without requiring software installation on the monitored targets.
- AI-Powered: Features AI-driven interactions and analysis through HertzBeat AI and built-in MCP Server capabilities.
- Unified Platform: Combines metrics, logs, and alerting into a single interface with centralized distribution.
- Highly Customizable: Allows users to add new monitoring types quickly by editing YML templates online.
- Scalable: Supports multi-collector clusters for horizontal expansion and isolated network monitoring.