kafka监控(JMXTrans+InfluxDb+Grafana)

一、简介

  环境介绍

  角色

172.16.133.82   InfluxDb
172.16.133.82  Grafana
172.16.133.82   jmxtrans
kafka
172.16.133.82  node1

  软件版本

influxdb-1.7.7.x86_64.rpm
grafana-6.2.5-1.x86_64.rpm
jmxtrans-266.rpm
kafka_2.12-0.10.2.1

二、配置规划

  • jmxtrans可以分别在每台kafka节点上部署,也可以部署到一台机器上,这里是选择了后者,因为集群小,这样配置文件可以集中管理,如果集群比较大,可以考虑分散部署
  • 关于jmxtrans的配置文件,分全局指标(每个kafka节点)和topic指标,全局指标每个节点一个配置文件,命名规则:base_172.16.133.82.json,topic指标是每个topic一个配置文件,命名规则:falcon_monitor_us_82.json

三、监控指标

  全局指标

每秒输入的流量

"obj" : "kafka.server:type=BrokerTopicMetrics,name=BytesInPerSec"
"attr" : [ "Count" ]
"resultAlias":"BytesInPerSec"
"tags"     : {"application" : "BytesInPerSec"}

每秒输出的流量

"obj" : "kafka.server:type=BrokerTopicMetrics,name=BytesOutPerSec"
"attr" : [ "Count" ]
"resultAlias":"BytesOutPerSec"
"tags"     : {"application" : "BytesOutPerSec"}

每秒输入的流量

"obj" : "kafka.server:type=BrokerTopicMetrics,name=BytesRejectedPerSec"
"attr" : [ "Count" ]
"resultAlias":"BytesRejectedPerSec"
"tags"     : {"application" : "BytesRejectedPerSec"}

每秒的消息写入总量

"obj" : "kafka.server:type=BrokerTopicMetrics,name=MessagesInPerSec"
"attr" : [ "Count" ]
"resultAlias":"MessagesInPerSec"
"tags"     : {"application" : "MessagesInPerSec"}

每秒FetchFollower的请求次数

"obj" : "kafka.network:type=RequestMetrics,name=RequestsPerSec,request=FetchFollower"
"attr" : [ "Count" ]
"resultAlias":"RequestsPerSec"
"tags"     : {"request" : "FetchFollower"}

每秒FetchConsumer的请求次数

"obj" : "kafka.network:type=RequestMetrics,name=RequestsPerSec,request=FetchConsumer"
"attr" : [ "Count" ]
"resultAlias":"RequestsPerSec"
"tags"     : {"request" : "FetchConsumer"}

每秒Produce的请求次数

"obj" : "kafka.network:type=RequestMetrics,name=RequestsPerSec,request=Produce"
"attr" : [ "Count" ]
"resultAlias":"RequestsPerSec"
"tags"     : {"request" : "Produce"}

内存使用的使用情况

"obj" : "java.lang:type=Memory"
"attr" : [ "HeapMemoryUsage", "NonHeapMemoryUsage" ]
"resultAlias":"MemoryUsage"
"tags"     : {"application" : "MemoryUsage"}

GC的耗时和次数

"obj" : "java.lang:type=GarbageCollector,name=*"
"attr" : [ "CollectionCount","CollectionTime" ]
"resultAlias":"GC"
"tags"     : {"application" : "GC"}

线程的使用情况

"obj" : "java.lang:type=Threading"
"attr" : [ "PeakThreadCount","ThreadCount" ]
"resultAlias":"Thread"
"tags"     : {"application" : "Thread"}

副本落后主分片的最大消息数量

"obj" : "kafka.server:type=ReplicaFetcherManager,name=MaxLag,clientId=Replica"
"attr" : [ "Value" ]
"resultAlias":"ReplicaFetcherManager"
"tags"     : {"application" : "MaxLag"}

该broker上的partition的数量

"obj" : "kafka.server:type=ReplicaManager,name=PartitionCount"
"attr" : [ "Value" ]
"resultAlias":"ReplicaManager"
"tags"     : {"application" : "PartitionCount"}

正在做复制的partition的数量

"obj" : "kafka.server:type=ReplicaManager,name=UnderReplicatedPartitions"
"attr" : [ "Value" ]
"resultAlias":"ReplicaManager"
"tags"     : {"application" : "UnderReplicatedPartitions"}

Leader的replica的数量

"obj" : "kafka.server:type=ReplicaManager,name=LeaderCount"
"attr" : [ "Value" ]
"resultAlias":"ReplicaManager"
"tags"     : {"application" : "LeaderCount"}

一个请求FetchConsumer耗费的所有时间

"obj" : "kafka.network:type=RequestMetrics,name=TotalTimeMs,request=FetchConsumer"
"attr" : [ "Count","Max" ]
"resultAlias":"TotalTimeMs"
"tags"     : {"application" : "FetchConsumer"}

一个请求FetchFollower耗费的所有时间

"obj" : "kafka.network:type=RequestMetrics,name=TotalTimeMs,request=FetchFollower"
"attr" : [ "Count","Max" ]
"resultAlias":"TotalTimeMs"
"tags"     : {"application" : "FetchFollower"}

一个请求Produce耗费的所有时间

"obj" : "kafka.network:type=RequestMetrics,name=TotalTimeMs,request=Produce"
"attr" : [ "Count","Max" ]
"resultAlias":"TotalTimeMs"
"tags"     : {"application" : "Produce"}

  topic的监控指标

falcon_monitor_us每秒的写入流量

"kafka.server:type=BrokerTopicMetrics,name=BytesInPerSec,topic=falcon_monitor_us"
"attr" : [ "Count" ]
"resultAlias":"falcon_monitor_us"
"tags"     : {"application" : "BytesInPerSec"}

falcon_monitor_us每秒的输出流量

"kafka.server:type=BrokerTopicMetrics,name=BytesOutPerSec,topic=falcon_monitor_us"
"attr" : [ "Count" ]
"resultAlias":"falcon_monitor_us"
"tags"     : {"application" : "BytesOutPerSec"}

falcon_monitor_us每秒写入消息的数量

"obj" : "kafka.server:type=BrokerTopicMetrics,name=MessagesInPerSec,topic=falcon_monitor_us"
"attr" : [ "Count" ]
"resultAlias":"falcon_monitor_us"
"tags"     : {"application" : "MessagesInPerSec"}

falcon_monitor_us在每个分区最后的Offset

"obj" : "kafka.log:type=Log,name=LogEndOffset,topic=falcon_monitor_us,partition=*"
"attr" : [ "Value" ]
"resultAlias":"falcon_monitor_us"
"tags"     : {"application" : "LogEndOffset"}

  参数说明

obj对应jmx的ObjectName,就是要监控的指标
attr对应ObjectName的属性,可以理解为要监控的指标的值
resultAlias对应metric 的名称,在InfluxDb里面就是MEASUREMENTS名
tags对应InfluxDb的tag功能,对与存储在同一个MEASUREMENTS里面的不同监控指标可以做区分,我们在用Grafana绘图的时候会用到,建议对每个监控指标都打上tags

对于全局监控,每一个监控指标对应一个MEASUREMENTS,所有的kafka节点同一个监控指标数据写同一个MEASUREMENTS ,对于topc监控的监控指标,同一个topic所有kafka节点写到同一个MEASUREMENTS,并且以topic名称命名

四、安装与配置

  kafka

因为需要通过jmx采集kafka的监控数据,所以在kafka的启动时候需要启动jmx端口,启动方式如下:

cd /data/kafka/bin/
JMX_PORT=9999 nohup ./kafka-server-start.sh ../config/server.properties  >/dev/null 2>&1 &

或者在启动kafka的脚本kafka-server-start.sh中找到堆设置,添加export JMX_PORT="9999" 

 

if [ "x$KAFKA_HEAP_OPTS" = "x" ]; then
    export KAFKA_HEAP_OPTS="-Xmx1G -Xms1G"
    export JMX_PORT="9999"
fi

 

  influxDb

创建jmxDB数据库:

[devuser@annie thirdparties]$ influx
Connected to http://localhost:8086 version 1.6.2
InfluxDB shell version: 1.7.7
> CREATE DATABASE "jmxDB"
> create retention policy "72_hour" on jmxDB duration 72h replication 1 DEFAULT
> 

  jmxtrans

#判断是否已安装此软件
rpm -qa |grep jmx
#卸载
rpm -e jmxXXXXXX
#下载
wget https://github.com/downloads/jmxtrans/jmxtrans/jmxtrans-20121016.145842.6a28c97fbb-0.noarch.rpm#安装
rpm -ivh jmxtrans-20121016.145842.6a28c97fbb-0.noarch.rpm#启动[启动前配置好/var/lib/jmxtrans下的json配置]
#启动
必须root用户启动
/etc/init.d/jmxtrans start
#或
./jmxtrans.sh start

说明:

  这些只是默认目录,如果用 jmxtrans.sh start 启动的话,是不会默认这些目录的 ,如果用 /etc/init.d/jmxtrans start  启动,会有一些报错

  jmxtrans安装目录:/usr/share/jmxtrans
  jmxtrans配置文件 :/etc/sysconfig/jmxtrans
  json配置文件默认目录:/var/lib/jmxtrans/

  去安装目录建立json和log目录

cd /usr/share/jmxtrans 
mkdir json 
mkdir logs

  这里在用 /etc/init.d/jmxtrans start 启动时报错如下:

报错一:

Caused by: java.lang.IllegalArgumentException: Invalid type id ‘com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory‘ (for id type ‘Id.class‘): no such class found
        at org.codehaus.jackson.map.jsontype.impl.ClassNameIdResolver.typeFromId(ClassNameIdResolver.java:89)
        at org.codehaus.jackson.map.jsontype.impl.TypeDeserializerBase._findDeserializer(TypeDeserializerBase.java:73)
        at org.codehaus.jackson.map.jsontype.impl.AsPropertyTypeDeserializer.deserializeTypedFromObject(AsPropertyTypeDeserializer.java:65)
        at org.codehaus.jackson.map.deser.AbstractDeserializer.deserializeWithType(AbstractDeserializer.java:81)
        at org.codehaus.jackson.map.deser.CollectionDeserializer.deserialize(CollectionDeserializer.java:118)

解决方案:

  官网找到github地址下载源码,重新编译将jar包替换,去修改jmxtrans.sh脚本,将项目所用jar包替换为重新编译生成的

git clone https://github.com/jmxtrans/jmxtrans.git
mvn clean package -Dmaven.test.skip=true -DskipTests=true;

kafka监控(JMXTrans+InfluxDb+Grafana)

 

 

cd /usr/share/jmxtrans

vim jmxtrans.conf
#export JAR_FILE="/usr/share/jmxtrans/jmxtrans-all.jar"
export JAR_FILE="/usr/share/jmxtrans/jmxtrans-271-all.jar"

vim jmxtrans.sh
#JAR_FILE=${JAR_FILE:-"jmxtrans-all.jar"}
JAR_FILE=${JAR_FILE:-"jmxtrans-271-all.jar"}

对比一下发现编译的包是有这个类的,而自带的那个没有

[devuser@annie jmxtrans]$ grep com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory ./jmxtrans-271-all.jar 
Binary file ./jmxtrans-271-all.jar matches
[devuser@annie jmxtrans]$ grep com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory ./jmxtrans-all.jar
[devuser@annie jmxtrans]$ 

报错二:

Starting jmxtrans:                                         [  OK  ]
Java HotSpot(TM) 64-Bit Server VM warning: ignoring option PermSize=384m; support was removed in 8.0
Java HotSpot(TM) 64-Bit Server VM warning: ignoring option MaxPermSize=384m; support was removed in 8.0
MaxTenuringThreshold of 16 is invalid; must be between 0 and 15
Error: Could not create the Java Virtual Machine.
Error: A fatal exception has occurred. Program will exit.

解决方案:

#JDK8 里Nimbus -XX:MaxTenuringThreshold 的最大值是15,默认配置里的是16
cd /usr/share/jmxtrans
vim jmxtrans.sh
#-XX:MaxTenuringThreshold=16 改为:
-XX:MaxTenuringThreshold=15

  jmxtrans默认读取/var/lib/jmxtrans下的配置文件去采集数据的,所以需要把采集kafka监控数据的配置文件都放在这个目录下,下面是是一些配置文件命名规范:

[root@annie thirdparties]# cd /var/lib/jmxtrans
[root@annie jmxtrans]# ll
total 0
[root@annie jmxtrans]# pwd
/var/lib/jmxtrans
[root@annie jmxtrans]# wget http://qu2lhckc6.hn-bkt.clouddn.com/jmxtrans-kafka/base_172.16.133.82.json
[root@annie jmxtrans]# wget http://qu2lhckc6.hn-bkt.clouddn.com/jmxtrans-kafka/falcon_monitor_us_82.json
[root@annie jmxtrans]# ll
total 16
-rw-r--r-- 1 root root 8462 Jun  2 18:41 base_172.16.133.82.json
-rw-r--r-- 1 root root 2029 Jun  2 18:41 falcon_monitor_us_82.json

重新启动   /etc/init.d/jmxtrans start  

然后在influxdb里可以看到数据已经生成

[devuser@annie jmxtrans]$ influx
Connected to http://localhost:8086 version 1.6.2
InfluxDB shell version: 1.7.7
> show DATABASES
name: databases
name
----
_internal
metrics
jmxDB> use jmxDB
Using database jmxDB
> show MEASUREMENTS
name: measurements
name
----
BytesInPerSec
BytesOutPerSec
BytesRejectedPerSec
GC
MemoryUsage
MessagesInPerSec
ReplicaFetcherManager
ReplicaManager
RequestsPerSec
Thread
TotalTimeMs
jvmMemory

小插曲:

  如果这里查询不到数据,先drop调database再重新创建,数据就能进去了

五、grafana的配置与预览

  

 

 

备注:

  全局监控的配置文件,以172.16.133.82为例:

[root@annie jmxtrans]# cat base_172.16.133.82.json
{
  "servers" : [ {
    "port" : "9999",
    "host" : "172.16.133.82", #kafka节点的IP
    "queries" : [ {
      "obj" : "kafka.server:type=BrokerTopicMetrics,name=BytesInPerSec",
      "attr" : [ "Count","OneMinuteRate" ],
      "resultAlias":"BytesInPerSec",
      "outputWriters" : [ {
        "@class" : "com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory",
        "url" : "http://172.16.133.82:8086/", #influxdb的IP
        "username" : "root",
        "password" : "root",
        "database" : "jmxDB",
        "tags"     : {"application" : "BytesInPerSec"}
      } ]
    },
{
      "obj" : "kafka.server:type=BrokerTopicMetrics,name=BytesOutPerSec",
      "attr" : [ "Count","OneMinuteRate" ],
      "resultAlias":"BytesOutPerSec",
      "outputWriters" : [ {
        "@class" : "com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory",
        "url" : "http://172.16.133.82:8086/",
        "username" : "root",
        "password" : "root",
        "database" : "jmxDB",
        "tags"     : {"application" : "BytesOutPerSec"}
      } ]
    },
{
      "obj" : "kafka.server:type=BrokerTopicMetrics,name=BytesRejectedPerSec",
      "attr" : [ "Count","OneMinuteRate" ],
      "resultAlias":"BytesRejectedPerSec",
      "outputWriters" : [ {
        "@class" : "com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory",
        "url" : "http://172.16.133.82:8086/",
        "username" : "root",
        "password" : "root",
        "database" : "jmxDB",
        "tags"     : {"application" : "BytesRejectedPerSec"}
      } ]
    },
{
      "obj" : "kafka.server:type=BrokerTopicMetrics,name=MessagesInPerSec",
      "attr" : [ "Count","OneMinuteRate" ],
      "resultAlias":"MessagesInPerSec",
      "outputWriters" : [ {
        "@class" : "com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory",
        "url" : "http://172.16.133.82:8086/",
        "username" : "root",
        "password" : "root",
        "database" : "jmxDB",
        "tags"     : {"application" : "MessagesInPerSec"}
      } ]
    },
{
      "obj" : "kafka.network:type=RequestMetrics,name=RequestsPerSec,request=FetchConsumer",
      "attr" : [ "Count" ],
      "resultAlias":"RequestsPerSec",
      "outputWriters" : [ {
        "@class" : "com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory",
        "url" : "http://172.16.133.82:8086/",
        "username" : "root",
        "password" : "root",
        "database" : "jmxDB",
        "tags"     : {"request" : "FetchConsumer"}
      } ]
    },
{
      "obj" : "kafka.network:type=RequestMetrics,name=RequestsPerSec,request=FetchFollower",
      "attr" : [ "Count" ],
      "resultAlias":"RequestsPerSec",
      "outputWriters" : [ {
        "@class" : "com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory",
        "url" : "http://172.16.133.82:8086/",
        "username" : "root",
        "password" : "root",
        "database" : "jmxDB",
        "tags"     : {"request" : "FetchFollower"}
      } ]
    },
{
      "obj" : "kafka.network:type=RequestMetrics,name=RequestsPerSec,request=Produce",
      "attr" : [ "Count" ],
      "resultAlias":"RequestsPerSec",
      "outputWriters" : [ {
        "@class" : "com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory",
        "url" : "http://172.16.133.82:8086/",
        "username" : "root",
        "password" : "root",
        "database" : "jmxDB",
        "tags"     : {"request" : "Produce"}
      } ]
    },
{
      "obj" : "java.lang:type=Memory",
      "attr" : [ "HeapMemoryUsage", "NonHeapMemoryUsage" ],
      "resultAlias":"MemoryUsage",
      "outputWriters" : [ {
        "@class" : "com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory",
        "url" : "http://172.16.133.82:8086/",
        "username" : "root",
        "password" : "root",
        "database" : "jmxDB",
        "tags"     : {"application" : "MemoryUsage"}
      } ]
    },
{
      "obj" : "java.lang:type=GarbageCollector,name=*",
      "attr" : [ "CollectionCount","CollectionTime" ],
      "resultAlias":"GC",
      "outputWriters" : [ {
        "@class" : "com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory",
        "url" : "http://172.16.133.82:8086/",
        "username" : "root",
        "password" : "root",
        "database" : "jmxDB",
        "tags"     : {"application" : "GC"}
      } ]
    },
{
      "obj" : "java.lang:type=Threading",
      "attr" : [ "PeakThreadCount","ThreadCount" ],
      "resultAlias":"Thread",
      "outputWriters" : [ {
        "@class" : "com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory",
        "url" : "http://172.16.133.82:8086/",
        "username" : "root",
        "password" : "root",
        "database" : "jmxDB",
        "tags"     : {"application" : "Thread"}
      } ]
    },
{
      "obj" : "kafka.server:type=ReplicaFetcherManager,name=MaxLag,clientId=Replica",
      "attr" : [ "Value" ],
      "resultAlias":"ReplicaFetcherManager",
      "outputWriters" : [ {
        "@class" : "com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory",
        "url" : "http://172.16.133.82:8086/",
        "username" : "root",
        "password" : "root",
        "database" : "jmxDB",
        "tags"     : {"application" : "MaxLag"}
      } ]
    },
{
      "obj" : "kafka.server:type=ReplicaManager,name=PartitionCount",
      "attr" : [ "Value" ],
      "resultAlias":"ReplicaManager",
      "outputWriters" : [ {
        "@class" : "com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory",
        "url" : "http://172.16.133.82:8086/",
        "username" : "root",
        "password" : "root",
        "database" : "jmxDB",
        "tags"     : {"application" : "PartitionCount"}
      } ]
    },
{
      "obj" : "kafka.server:type=ReplicaManager,name=UnderReplicatedPartitions",
      "attr" : [ "Value" ],
      "resultAlias":"ReplicaManager",
      "outputWriters" : [ {
        "@class" : "com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory",
        "url" : "http://172.16.133.82:8086/",
        "username" : "root",
        "password" : "root",
        "database" : "jmxDB",
        "tags"     : {"application" : "UnderReplicatedPartitions"}
      } ]
    },
{
      "obj" : "kafka.server:type=ReplicaManager,name=LeaderCount",
      "attr" : [ "Value" ],
      "resultAlias":"ReplicaManager",
      "outputWriters" : [ {
        "@class" : "com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory",
        "url" : "http://172.16.133.82:8086/",
        "username" : "root",
        "password" : "root",
        "database" : "jmxDB",
        "tags"     : {"application" : "LeaderCount"}
      } ]
    },
{
      "obj" : "kafka.network:type=RequestMetrics,name=TotalTimeMs,request=FetchConsumer",
      "attr" : [ "Count","Max" ],
      "resultAlias":"TotalTimeMs",
      "outputWriters" : [ {
        "@class" : "com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory",
        "url" : "http://172.16.133.82:8086/",
        "username" : "root",
        "password" : "root",
        "database" : "jmxDB",
        "tags"     : {"application" : "FetchConsumer"}
      } ]
    },
{
      "obj" : "kafka.network:type=RequestMetrics,name=TotalTimeMs,request=FetchFollower",
      "attr" : [ "Count","Max" ],
      "resultAlias":"TotalTimeMs",
      "outputWriters" : [ {
        "@class" : "com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory",
        "url" : "http://172.16.133.82:8086/",
        "username" : "root",
        "password" : "root",
        "database" : "jmxDB",
        "tags"     : {"application" : "FetchConsumer"}
      } ]
    },
{
      "obj" : "kafka.network:type=RequestMetrics,name=TotalTimeMs,request=Produce",
      "attr" : [ "Count","Max" ],
      "resultAlias":"TotalTimeMs",
      "outputWriters" : [ {
        "@class" : "com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory",
        "url" : "http://172.16.133.82:8086/",
        "username" : "root",
        "password" : "root",
        "database" : "jmxDB",
        "tags"     : {"application" : "Produce"}
      } ]
    },
{
      "obj" : "kafka.server:type=ReplicaManager,name=IsrShrinksPerSec",
      "attr" : [ "Count" ],
      "resultAlias":"ReplicaManager",
      "outputWriters" : [ {
        "@class" : "com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory",
        "url" : "http://172.16.133.82:8086/",
        "username" : "root",
        "password" : "root",
        "database" : "jmxDB",
        "tags"     : {"application" : "IsrShrinksPerSec"}
      } ]
    }
]
  } ]
}

 

 

 

 

topic监控的配置文件,以falcon_monitor_us的172.16.133.82节点为例

[root@annie jmxtrans]# cat falcon_monitor_us_82.json
{
  "servers" : [ {
    "port" : "9999",
    "host" : "172.16.133.82", #kafka节点的IP
    "queries" : [ {
      "obj" : "kafka.server:type=BrokerTopicMetrics,name=BytesInPerSec,topic=falcon_monitor_us",
      "attr" : [ "Count" ],
      "resultAlias":"falcon_monitor_us",
      "outputWriters" : [ {
        "@class" : "com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory",
        "url" : "http://172.16.133.82:8086/", #influxdb的IP
        "username" : "root",
        "password" : "root",
        "database" : "jmxDB",
        "tags"     : {"application" : "BytesInPerSec"}
      } ]
    },
{
      "obj" : "kafka.server:type=BrokerTopicMetrics,name=BytesOutPerSec,topic=falcon_monitor_us",
      "attr" : [ "Count" ],
      "resultAlias":"falcon_monitor_us",
      "outputWriters" : [ {
        "@class" : "com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory",
        "url" : "http://172.16.133.82:8086/",
        "username" : "root",
        "password" : "root",
        "database" : "jmxDB",
        "tags"     : {"application" : "BytesOutPerSec"}
      } ]
    },
{
      "obj" : "kafka.server:type=BrokerTopicMetrics,name=MessagesInPerSec,topic=falcon_monitor_us",
      "attr" : [ "Count" ],
      "resultAlias":"falcon_monitor_us",
      "outputWriters" : [ {
        "@class" : "com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory",
        "url" : "http://172.16.133.82:8086/",
        "username" : "root",
        "password" : "root",
        "database" : "jmxDB",
        "tags"     : {"application" : "MessagesInPerSec"}
      } ]
    },
{
      "obj" : "kafka.log:type=Log,name=LogEndOffset,topic=falcon_monitor_us,partition=*",
      "attr" : [ "Value" ],
      "resultAlias":"falcon_monitor_us",
      "outputWriters" : [ {
        "@class" : "com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory",
        "url" : "http://172.16.133.82:8086/",
        "username" : "root",
        "password" : "root",
        "database" : "jmxDB",
        "tags"     : {"application" : "LogEndOffset"}
      } ]
    }
]
  } ]
}

 

 

参考文献

  jmxtrans介绍与安装

  kafka集群中jmx端口设置

  kafka0.10.x监控项分析

  jmxtrans+InfluxDb+Grafana

  Kafka JMX 监控 之 jmxtrans + influxdb + grafana (内有json模板配置文件)

  

 

kafka监控(JMXTrans+InfluxDb+Grafana)

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