Operations 14 min read

Why HertzBeat Is the Next‑Gen Open‑Source Monitoring Solution for Cloud‑Native Environments

HertzBeat is a powerful, agent‑less, open‑source real‑time monitoring and alerting platform that supports custom templates, high‑performance clustering, cloud‑edge collaboration, and a wide range of notification channels, making it ideal for modern cloud‑native operations.

macrozheng
macrozheng
macrozheng
Why HertzBeat Is the Next‑Gen Open‑Source Monitoring Solution for Cloud‑Native Environments

Introduction

HertzBeat is an open‑source real‑time monitoring and alerting system with strong custom monitoring capabilities, high‑performance clustering, Prometheus compatibility, and no‑agent requirements.

Features

All‑in‑One Monitoring, Alerting & Notification – supports applications, databases, caches, operating systems, big data, middleware, web servers, cloud‑native, networks, and custom thresholds.

Easy to use – no

Agent

needed; full

WEB

UI operations with a single click.

Configurable protocols –

Http, Jmx, Ssh, Snmp, Jdbc, Prometheus

etc. can be enabled via YML templates, instantly adapting to new types such as

K8s

or

Docker

.

Prometheus compatible – can monitor everything Prometheus can.

High performance – supports horizontal scaling of collectors, multi‑network isolation, and cloud‑edge collaboration.

Flexible alert channels –

Email

,

Discord

,

Slack

,

Telegram

,

DingTalk

,

WeChat

,

Feishu

,

SMS

,

Webhook

,

ServerChan

, etc.

HertzBeat also offers a SaaS version that can be started instantly without self‑deployment.

Powerful Monitoring Templates

Monitoring templates are defined in YML files and map protocols to specific metrics. By configuring a template, users can collect any desired indicator without writing code.

No‑Agent Architecture

The system pulls data using a

PULL

model, eliminating the need to install agents or exporters on target hosts. For example, monitoring a Linux host only requires entering its IP, port, and credentials in the UI.

Monitor Linux OS: enter IP, port, and credentials.

Monitor MySQL: enter connection details; all sensitive information is encrypted end‑to‑end.

High‑Performance Cluster

When monitoring scale grows exponentially, HertzBeat can deploy a collector cluster that horizontally scales, automatically re‑schedules tasks, and provides seamless failover.

Multiple collectors can be added to increase capacity.

Tasks are auto‑balanced; a failed collector is silently migrated.

Single‑node and cluster modes can be switched without extra components.

Cloud‑Edge Collaboration

HertzBeat supports deploying edge collector clusters in isolated networks. Edge collectors gather data locally and report to a central service, enabling unified monitoring across multiple isolated clouds.

Ease of Use

All‑in‑one monitoring, alerting, and notification without separate components.

Full UI operations for creating, editing, and deleting monitors and alert rules.

Customizable alerts via expressions, thresholds, and multiple notification channels.

Open Source

Top project of the Dromara community, licensed under Apache 2.0.

No artificial limits on monitor count or license restrictions.

Built with Java, SpringBoot, TypeScript, and Angular for easy extension.

HertzBeat has been included in the CNCF Cloud‑Native Landscape.

Installation & Running

1. Run the Docker image:

docker run -d -p 1157:1157 -p 1158:1158 --name hertzbeat tancloud/hertzbeat

2. Access the UI at

http://localhost:1157

with default credentials

admin/hertzbeat

.

3. Deploy collector clusters as needed:

<code>docker run -d -e IDENTITY=custom-collector-name -e MANAGER_HOST=127.0.0.1 -e MANAGER_PORT=1158 --name hertzbeat-collector tancloud/hertzbeat-collector</code>
-e IDENTITY=custom-collector-name

– unique identifier for the collector.

-e MODE=public

– public or private mode.

-e MANAGER_HOST=127.0.0.1

– address of the main HertzBeat service.

-e MANAGER_PORT=1158

– port of the main service.

Project Repository

Source code: https://gitee.com/dromara/hertzbeat

Monitoringcloud-nativereal-timeoperationsAlertingopen source
macrozheng
Written by

macrozheng

Dedicated to Java tech sharing and dissecting top open-source projects. Topics include Spring Boot, Spring Cloud, Docker, Kubernetes and more. Author’s GitHub project “mall” has 50K+ stars.

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