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Sampler-Shell命令执行可视化和告警工具

Sampler-Shell命令执行可视化和告警工具

作者: 张都尉 | 来源:发表于2020-06-08 09:49 被阅读0次

    Sampler是一个用于shell命令执行,可视化和告警的工具。其配置使用的是一个简单的YAML文件。


    为什么我需要它?

    你可以直接从终端对任意动态进程进行采样 – 观察数据库中的更改,监控MQ动态消息(in-flight messages),触发部署脚本并在完成后获取通知。

    如果有一种方法可以使用shell命令获取指标(metric),那么可以使用Sampler立即对其进行可视化。

    安装

    macOS

    brew cask install sampler

    sudo curl -Lo /usr/local/bin/sampler https://github.com/sqshq/sampler/releases/download/v1.0.3/sampler-1.0.3-darwin-amd64
    sudo chmod +x /usr/local/bin/sampler
    Linux

    sudo wget https://github.com/sqshq/sampler/releases/download/v1.0.3/sampler-1.0.3-linux-amd64 -O /usr/local/bin/sampler
    sudo chmod +x /usr/local/bin/sampler
    注意:需要为Sampler安装libasound2-dev系统库用以播放触发器声音。通常库已安装在相应位置,但如果没有 – 你可以使用你习惯的包管理器进行安装,例如apt install libasound2-dev

    Windows(实验)

    建议在高级控制台模拟器下使用,如Cmder

    Download .exe

    使用

    指定shell命令,Sampler会相应的速率执行这些命令。输出用于可视化。

    使用Sampler基本上的三步过程:

    在YAML配置文件中定义shell命令

    运行sampler -c config.yml

    在UI上调整组件大小和位置

    市面早已有许多监控系统

    Sampler绝不是监控系统的替代品,而是易于设置的开发工具。

    如果spinning up和使用Grafana配置Prometheus是完全多余的任务,那么Sampler可能是正确的解决方案。没有服务器,没有数据库,不需要部署 – 你指定了shell命令,它就可以工作了。

    我监控的每台服务器上都需要安装吗?

    不,你可以在本地运行Sampler,但仍然可以从多台远程计算机上收集遥测数据。任何可视化都可能具有init命令,你可以在其中ssh到远程服务器。请参阅SSH example

    组件

    以下是每种组件类型的配置示例列表,其中包含与macOS兼容的采样脚本。

    • Runchart


    runcharts:
      - title: Search engine response time
        rate-ms: 500        # sampling rate, default = 1000
        scale: 2            # number of digits after sample decimal point, default = 1
        legend:
          enabled: true     # enables item labels, default = true
          details: false    # enables item statistics: cur/min/max/dlt values, default = true
        items:
          - label: GOOGLE
            sample: curl -o /dev/null -s -w '%{time_total}'  https://www.google.com
            color: 178      # 8-bit color number, default one is chosen from a pre-defined palette
          - label: YAHOO
            sample: curl -o /dev/null -s -w '%{time_total}'  https://search.yahoo.com
          - label: BING
            sample: curl -o /dev/null -s -w '%{time_total}'  https://www.bing.com
    

    Sparkline

    sparklines:
      - title: CPU usage
        rate-ms: 200
        scale: 0
        sample: ps -A -o %cpu | awk '{s+=$1} END {print s}'
      - title: Free memory pages
        rate-ms: 200
        scale: 0
        sample: memory_pressure | grep 'Pages free' | awk '{print $3}'
    

    Barchart

    barcharts:
      - title: Local network activity
        rate-ms: 500        # sampling rate, default = 1000
        scale: 0            # number of digits after sample decimal point, default = 1
        items:
          - label: UDP bytes in
            sample: nettop -J bytes_in -l 1 -m udp | awk '{sum += $4} END {print sum}'
          - label: UDP bytes out
            sample: nettop -J bytes_out -l 1 -m udp | awk '{sum += $4} END {print sum}'
          - label: TCP bytes in
            sample: nettop -J bytes_in -l 1 -m tcp | awk '{sum += $4} END {print sum}'
          - label: TCP bytes out
            sample: nettop -J bytes_out -l 1 -m tcp | awk '{sum += $4} END {print sum}'
    

    Gauge

    gauges:
      - title: Minute progress
        rate-ms: 500        # sampling rate, default = 1000
        scale: 2            # number of digits after sample decimal point, default = 1
        percent-only: false # toggle display of the current value, default = false
        color: 178          # 8-bit color number, default one is chosen from a pre-defined palette
        cur:
          sample: date +%S  # sample script for current value
        max:
          sample: echo 60   # sample script for max value
        min:
          sample: echo 0    # sample script for min value
      - title: Year progress
        cur:
          sample: date +%j
        max:
          sample: echo 365
        min:
          sample: echo 0
    

    Textbox

    textboxes:
      - title: Local weather
        rate-ms: 10000      # sampling rate, default = 1000
        sample: curl wttr.in?0ATQF
        border: false       # border around the item, default = true
        color: 178          # 8-bit color number, default is white
      - title: Docker containers stats
        rate-ms: 500
        sample: docker stats --no-stream --format "table {{.Name}}\t{{.CPUPerc}}\t{{.MemUsage}}\t{{.PIDs}}"
    

    Asciibox

    asciiboxes:
      - title: UTC time
        rate-ms: 500        # sampling rate, default = 1000
        font: 3d            # font type, default = 2d
        border: false       # border around the item, default = true
        color: 43           # 8-bit color number, default is white
        sample: env TZ=UTC date +%r
    

    额外功能

    Triggers

    触发器允许执行条件操作,如视觉/声音告警或任意shell命令。以下示例说明了此概念。

    Clock gauge,从开始的每分钟显示时间进度和当前时间

    gauges:
      - title: MINUTE PROGRESS
        position: [[0, 18], [80, 0]]
        cur:
          sample: date +%S
        max:
          sample: echo 60
        min:
          sample: echo 0
        triggers:
          - title: CLOCK BELL EVERY MINUTE
            condition: '[ $label == "cur" ] && [ $cur -eq 0 ] && echo 1 || echo 0'  # expects "1" as TRUE indicator
            actions:
              terminal-bell: true  # standard terminal bell, default = false
              sound: true    # NASA quindar tone, default = false
              visual: false  # notification with current value on top of the component area, default = false
              script: say -v samantha `date +%I:%M%p`  # an arbitrary script, which can use $cur, $prev and $label variables
    

    搜索引擎延迟图表,在延迟超过阈值时向用户发出告警

    runcharts:
      - title: SEARCH ENGINE RESPONSE TIME (sec)
        rate-ms: 200
        items:
          - label: GOOGLE
            sample: curl -o /dev/null -s -w '%{time_total}'  https://www.google.com
          - label: YAHOO
            sample: curl -o /dev/null -s -w '%{time_total}'  https://search.yahoo.com
        triggers:
          - title: Latency threshold exceeded
            condition: echo "$prev < 0.3 && $cur > 0.3" |bc -l  # expects "1" as TRUE indicator
            actions:
              terminal-bell: true  # standard terminal bell, default = false
              sound: true   # NASA quindar tone, default = false
              visual: true  # visual notification on top of the component area, default = false
              script: 'say alert: ${label} latency exceeded ${cur} second' # an arbitrary script, which can use $cur, $prev and $label variables
    

    交互式 shell 支持

    除了sample命令之外,还可以指定init命令(在采样前仅执行一次)和transform命令(后处理采样命令输出)。这包括交互式shell用例,例如仅建立与数据库的连接一次,然后在交互式shell会话中执行轮询。

    Basic mode

    textboxes:
      - title: MongoDB polling
        rate-ms: 500
        init: mongo --quiet --host=localhost test # executes only once to start the interactive session
        sample: Date.now();                       # executes with a required rate, in scope of the interactive session
        transform: echo result = $sample          # executes in scope of local session, $sample variable is available for transformation
    

    PTY mode

    在某些情况下,交互式shell将无法工作,因为它的stdin不是终端。这种情况下我们可以使用PTY模式:

    textboxes:
      - title: Neo4j polling
        pty: true  # enables pseudo-terminal mode, default = false
        init: cypher-shell -u neo4j -p pwd --format plain
        sample: RETURN rand();
        transform: echo "$sample" | tail -n 1
      - title: Top on a remote server
        pty: true  # enables pseudo-terminal mode, default = false
        init: ssh -i ~/user.pem ec2-user@1.2.3.4
        sample: top
    

    init 命令逐步执行

    在开始采样之前,还可以逐个执行多个init命令

    textboxes:
      - title: Java application uptime
        multistep-init:
          - java -jar jmxterm-1.0.0-uber.jar
          - open host:port # or local PID
          - bean java.lang:type=Runtime
        sample: get Uptime
    

    变量

    如果配置文件包含重复的模式,则可以将它们提取到变量部分。此外,还可以在启动时使用-v/–variable标志指定变量,并且任意的系统环境变量也可以在脚本中使用。

    variables:
        mongoconnection: mongo --quiet --host=localhost test
    barcharts:
      - title: MongoDB documents by status
        items:
          - label: IN_PROGRESS
            init: $mongoconnection
            sample: db.getCollection('events').find({status:'IN_PROGRESS'}).count()
          - label: SUCCESS
            init: $mongoconnection
            sample: db.getCollection('events').find({status:'SUCCESS'}).count()
          - label: FAIL
            init: $mongoconnection
            sample: db.getCollection('events').find({status:'FAIL'}).count()
    

    颜色主题

    theme: light # default = dark
    sparklines:
      - title: CPU usage
        sample: ps -A -o %cpu | awk '{s+=$1} END {print s}'
    

    真实场景

    以下是不同的数据库连接示例。建议使用交互式shell(init脚本)仅建立一次连接,然后在采样期间重用即可。

    mysql

    # prerequisite: installed mysql shell
    variables:
      mysql_connection: mysql -u root -s --database mysql --skip-column-names
    sparklines:
      - title: MySQL (random number example)
        pty: true
        init: $mysql_connection
        sample: select rand();
    

    postgresql

    # prerequisite: installed psql shell
    variables:
      PGPASSWORD: pwd
      postgres_connection: psql -h localhost -U postgres --no-align --tuples-only
    sparklines:
      - title: PostgreSQL (random number example)
        init: $postgres_connection
        sample: select random();
    

    MangoDB

    # prerequisite: installed mongo shell
    variables:
      mongo_connection: mongo --quiet --host=localhost test
    sparklines:
      - title: MongoDB (random number example)
        init: $mongo_connection
        sample: Math.random();
    

    Neo4j

    # prerequisite: installed cypher shell
    variables:
      neo4j_connection: cypher-shell -u neo4j -p pwd --format plain
    sparklines:
      - title: Neo4j (random number example)
        pty: true
        init: $neo4j_connection
        sample: RETURN rand();
        transform: echo "$sample" | tail -n 1
    

    Kafka

    检查kafka lag值,计算每个队列lag值的和,高于阈值报警,多consumergroup,多topic。

    variables:
      kafka_connection: $KAFKA_HOME/bin/kafka-consumer-groups --bootstrap-server localhost:9092
    runcharts:
      - title: Kafka lag per consumer group
        rate-ms: 5000
        scale: 0
        items:
          - label: A->B
            sample: $kafka_connection --group group_a --describe | awk 'NR>1 {sum += $5} END {print sum}'
          - label: B->C
            sample: $kafka_connection --group group_b --describe | awk 'NR>1 {sum += $5} END {print sum}'
          - label: C->D
            sample: $kafka_connection --group group_c --describe | awk 'NR>1 {sum += $5} END {print sum}'
    

    Docker

    Docker容器统计信息(CPU,MEM,O/I)

    textboxes:
      - title: Docker containers stats
        sample: docker stats --no-stream --format "table {{.Name}}\t{{.CPUPerc}}\t{{.MemPerc}}\t{{.MemUsage}}\t{{.NetIO}}\t{{.BlockIO}}\t{{.PIDs}}"
    

    SSH

    远程服务器上执行TOP命令

    # prerequisite: download [jmxterm jar file](https://docs.cyclopsgroup.org/jmxterm)
    textboxes:
      - title: Java application uptime
        multistep-init:
          - java -jar jmxterm-1.0.0-uber.jar
          - open host:port # or local PID
          - bean java.lang:type=Runtime
        sample: get Uptime
        transform: echo $sample | tr -dc '0-9' | awk '{printf "%.1f min", $1/1000/60}'
    

    *参考来源:GitHub,FB小编secist编译,转载请注明来自FreeBuf.COM

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