HertzBeat supports custom monitoring, only by configuring YML files we can customize the required monitoring types and indicators to meet common personalized needs.
HertzBeat Modular, manager, collector, scheduler, warehouse, alerter module decoupling, easy to understand and custom development.
HertzBeat supports more liberal alarm configuration (calculation expression), supports alarm notification, alarm template, email nail wechat flying book and other timely notification delivery.

Module

manager Provides basic services of monitoring and management and system management

Provides monitoring management, monitoring application configuration management, system user tenant background management, etc.

collector Provides monitoring data collection services

Remote acquisition of peer indicator data using a common protocol.

scheduler Provides monitoring task scheduling service

Collection task management, scheduling and distribution of one-time and periodic tasks.

warehouse Provide monitoring data warehousing services

Collection index results data management, data drop, query, calculation and statistics.

alerter Provide alarm service

Alarm calculation triggers, monitoring status linkage, alarm configuration, and alarm notification.

web-app Provides visual console page

HertzBeat Hertzbeat – High performance monitoring alarm system插图

Fast start

Deployment of dependent services

HertzBeat relies least on relational database MYSQL5+ and sequential database TDengine2+

HertzBeat installation

HertzBeat supports installation and deployment through source code installation, Docker container operation and installation package.

Fast installation in Docker mode

docker run -d -p  1157:1157 -v /opt/application.yml:/opt/hertzbeat/config/application.yml --name hertzbeat tancloud/hertzbeat:[version tag]

< Installation by installation package

Download the installation package for your system environment

https://gitee.com/dromara/hertzbeat/releases

Start deployment $./startup.sh

User-defined monitoring

Configure the custom monitoring type Two YML files need to be added

Monitoring configuration definition file named after the monitoring type – for example, example.yml must be located in the installation directory /hertzbeat/define/app/
Monitor parameter definition file named after the monitor type – for example, example.yml must be located in the installation directory /hertzbeat/define/param/
By restarting the hertzbeat system, we have adapted a new custom monitoring type.

< Monitoring configuration definition file

example: Create a user-defined monitoring type named example to collect indicator data using HTTP.
File name: example.yml located in /define/app/example.yml

# This monitoring type belongs to: service- Application service monitoring DB-Database monitoring custom- Custom monitoring OS-Operating system monitoring 
category: custom
# Monitor application type (consistent with file name) eg: linux windows tomcat mysql aws... 
app: example
name:
      en-CN :  Simulation application type 
     en-US: EXAMPLE APP
# Parameter map. These are input variables, that is, they can be written as ^_^host^_^ in the following configuration, and the system automatically replaces the  variable values.
# type is the parameter type: 0-number number, 1-string plaintext string, 2-secret encrypted string 
# Force fixed mandatory parameter -host 
configmap:
  - key: host
    type: 1
  - key: port
    type: 0
  - key: username
    type: 1
  - key: password
    type: 2
# List of indicator groups 
metrics:
# First monitor indicator group cpu
# Note: (responseTime - response time)
  - name: cpu
    # The smaller the indicator group scheduling priority (0-127), the higher the priority. The indicator group with a lower priority will be scheduled after the collection of the indicator group with a higher priority is completed, and the indicator group with the same priority will be scheduled in parallel. 
    # The indicator group with priority 0 is the availability indicator group, that is, it will be scheduled first, and other indicator groups will continue to be scheduled only after collection succeeds, and the scheduling will be interrupted if collection fails 
    priority: 0
    # Specific monitoring indicators in the indicator group 
    fields:
      # Indicator information includes field name type Field type :0-number number,1-string string instance Whether the instance is the primary key unit: indicator unit 
      - field: hostname
        type: 1
        instance: true
      - field: usage
        type: 0
        unit: '%'
      - field: cores
        type: 0
      - field: waitTime
        type: 0
        unit: s
# (not required) Monitor indicator alias, which maps to the indicator name above. The field used to collect interface data is not directly the final indicator name, and this alias is required for mapping conversion 
    aliasFields:
      - hostname
      - core1
      - core2
      - usage
      - allTime
      - runningTime
# (not required) indicator evaluation expression, which works with the aliases above to calculate the final required indicator value 
# eg: cores=core1+core2, usage=usage, waitTime=allTime-runningTime
    calculates:
      - hostname=hostname
      - cores=core1+core2
      - usage=usage
      - waitTime=allTime-runningTime
# Protocols eg: sql, ssh, http, telnet, wmi, snmp, sdk
    protocol: http
# Specific collection configuration when protocol is http 
    http:
      # host: ipv4 ipv6 domain name 
      host: ^_^host^_^
      # port 
      port: ^_^port^_^
      # url request interface path 
      url: /metrics/cpu
       GET POST PUT DELETE PATCH
      method: GET
      # Whether ssl/tls is enabled, i.e. http or https, default false
      ssl: false
      # Request header content 
      headers:
        apiVersion: v1
      # Request parameters 
      params:
        param1: param1
        param2: param2
      # Authentication 
      authorization:
        #Authentication mode:Basic Auth, Digest Auth, Bearer Token
        type: Basic Auth
        basicAuthUsername: ^_^username^_^
        basicAuthPassword: ^_^password^_^
      # Response data parsing methods: default- system rule,jsonPath-jsonPath script,website- website availability indicator monitoring 
      # todo xmlPath-xmlPath script,prometheus-Prometheus data rules 
      parseType: jsonPath
      parseScript: '$'

  - name: memory
    priority: 1
    fields:
      - field: hostname
        type: 1
        instance: true
      - field: total
        type: 0
        unit: kb
      - field: usage
        type: 0
        unit: '%'
      - field: speed
        type: 0
    protocol: http
    http:
      host: ^_^host^_^
      port: ^_^port^_^
      url: /metrics/memory
      method: GET
      headers:
        apiVersion: v1
      params:
        param1: param1
        param2: param2
      authorization:
        type: Basic Auth
        basicAuthUsername: ^_^username^_^
        basicAuthPassword: ^_^password^_^
      parseType: default

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1, the default transaction cycle of the source code: manual delivery of goods for 1-3 days, and the user payment amount will enter the platform guarantee until the completion of the transaction or 3-7 days can be issued, in case of disputes indefinitely extend the collection amount until the dispute is resolved or refunded!

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