apache/hertzbeat

An AI-powered next-generation open source real-time observability system.

What it solves

HertzBeat is an open-source observability system designed to unify metrics, logs, and alerting into a single platform. It eliminates the need for installing agents on target systems, reducing deployment overhead while providing real-time monitoring and analysis for a wide variety of application services, databases, and cloud-native environments.

How it works

It operates as an agentless system that collects data using configurable protocols such as HTTP, JMX, SSH, SNMP, JDBC, and Prometheus. Users can define monitoring targets by simply configuring YML templates online. The system supports horizontal expansion through multi-collector clusters and integrates a unified alerting platform that processes internal and external alerts, distributing notifications via various channels like Slack, Discord, and Email.

Who it’s for

It is intended for DevOps engineers and system administrators who need a high-performance, scalable monitoring solution that supports diverse infrastructure (from legacy networks to modern K8s clusters) without the friction of agent installation.

Highlights

  • Agentless Collection: Collects metrics and logs without requiring software installation on the target machines.
  • AI-Powered: Includes AI-powered interactions and features under HertzBeat AI and built-in MCP Server capabilities.
  • Unified Platform: Integrates collection, analysis, alerting, and notification in one place.
  • Extensible: Allows quick adaptation to new monitoring types via online YML configuration.
  • High Scalability: Supports multi-collector clusters and cloud-edge collaboration.

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