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Apache HertzBeat

An AI-powered open-source real-time observability system for monitoring applications, databases, servers, and networks with built-in alerting.

★ 7,308 GitHub Apache-2.0 monitoringobservabilitydevopsalertingapachereal-timeinfrastructure Automation Tools

Overview

Apache HertzBeat is an AI-powered, next-generation open-source real-time observability system from the Apache Software Foundation. With over 7,300 GitHub stars and 188K Docker pulls, it provides comprehensive monitoring for applications, databases, servers, containers, and networks through a unified dashboard. Built-in AI capabilities help detect anomalies, predict issues, and reduce noise with intelligent alerting, making it ideal for DevOps teams who need deep infrastructure visibility without the complexity of traditional monitoring stacks. HertzBeat supports over 200 monitoring protocols and templates out of the box including JMX, SNMP, HTTP, ICMP, TCP, and custom scripts. It features a visual topology builder, real-time dashboards, flexible alert channels (email, webhook, DingTalk, WeChat, Slack, Telegram), and supports both agent-based (collector) and agentless modes. The system uses a distributed architecture with optional collector clusters for large-scale deployments, supports multiple time series databases (VictoriaMetrics, TDengine, IoTDB, InfluxDB, GreptimeDB), and includes a rich plugin ecosystem for easy extension.

Requirements

Min vCPU
1
Min RAM
2048 MB
Min Disk
10 GB
Rec vCPU
2
Rec RAM
4096 MB
Rec Disk
20 GB

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Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  apache-hertzbeat:
    image: apache/hertzbeat:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/apache-hertzbeat:/data

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