jmxtrans+influxdb+grafana监控zookeeper实战

序本文主要研究一下如何使用jmxtrans+influxdb+granfa监控zookeeper配置zookeeper jmx在conf目录下新增zookeeper-env.sh，并使用chmod +x赋予执行权限，内容如下JMXLOCALONLY=falseJMXDISABLE=falseJMXPORT=8999JMXAUTH=falseJMXSSL=false指定JMXPORT为8999搭建influxdb及grafana这里使用docker构建，如下docker network create monitoring-networkdocker run -d -p 8083:8083 -p 8086:8086 \ –net monitoring-network \ –name influxdb \ influxdb:1.5.4curl -POST http://192.168.99.100:8086/query –data-urlencode “q=CREATE DATABASE zookeeper"docker run -d -p 3000:3000 –net monitoring-network –name grafana grafana/grafana:5.2.4curl ‘http://admin:admin@192.168.99.100:3000/api/datasources’ -X POST -H ‘Content-Type: application/json;charset=UTF-8’ --data-binary ‘{“name”:“influx”,“type”:“influxdb”,“url”:“http://192.168.99.100:8086”,“access”:“proxy”,“isDefault”:true,“database”:“zookeeper”,“user”:“admin”,“password”:“admin”}‘创建monitoring-network，让docker中的influxdb与grafana连通，然后使用rest api创建zookeeper数据库创建grafana并指定net为monitoring-network，然后使用rest api配置数据源jmxtrans配置下载jmxtranswget http://central.maven.org/maven2/org/jmxtrans/jmxtrans/270/jmxtrans-270-all.jar下载执行脚本wget -q https://raw.githubusercontent.com/jmxtrans/jmxtrans/master/jmxtrans/jmxtrans.shchmod +x jmxtrans.sh配置zookeeper.json{ “servers”: [ { “port”: 8999, “host”: “localhost”, “alias”: “zk”, “queries”: [ { “outputWriters” : [ { “@class” : “com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory”, “url” : “http://192.168.99.100:8086/”, “database” : “zookeeper”, “username” : “admin”, “password” : “admin” } ], “obj”: “org.apache.ZooKeeperService:name0=ReplicatedServer_id*”, “attr”: [ “QuorumSize” ] }, { “outputWriters” : [ { “@class” : “com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory”, “url” : “http://192.168.99.100:8086/”, “database” : “zookeeper”, “username” : “admin”, “password” : “admin” } ], “obj”: “org.apache.ZooKeeperService:name0=ReplicatedServer_id*,name1=replica*,name2=”, “attr”: [ “MaxClientCnxnsPerHost”, “MaxRequestLatency”, “AvgRequestLatency”, “MinRequestLatency”, “MaxSessionTimeout”, “MinSessionTimeout”, “OutstandingRequests”, “PacketsReceived”, “PacketsSent”, “PendingRevalidationCount”, “TickTime” ] }, { “outputWriters” : [ { “@class” : “com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory”, “url” : “http://192.168.99.100:8086/”, “database” : “zookeeper”, “username” : “admin”, “password” : “admin” } ], “obj”: “org.apache.ZooKeeperService:name0=ReplicatedServer_id,name1=replica*,name2=,name3=InMemoryDataTree”, “attr”: [ “NodeCount”, “WatchCount” ] }, { “outputWriters” : [ { “@class” : “com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory”, “url” : “http://192.168.99.100:8086/”, “database” : “zookeeper”, “username” : “admin”, “password” : “admin” } ], “obj”: “org.apache.ZooKeeperService:name0=ReplicatedServer_id,name1=replica*,name2=,name3=Connections,name4=,name5=”, “resultAlias”: “Clients”, “attr”: [ “AvgLatency”, “LastLatency”, “MaxLatency”, “MinLatency”, “OutstandingRequests”, “PacketsReceived”, “PacketsSent” ] }, { “outputWriters” : [ { “@class” : “com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory”, “url” : “http://192.168.99.100:8086/”, “database” : “zookeeper”, “username” : “admin”, “password” : “admin” } ], “obj”: “org.apache.ZooKeeperService:name0=StandaloneServer_port”, “resultAlias”: “Clients”, “attr”: [ “AvgLatency”, “LastLatency”, “MaxLatency”, “MinLatency”, “OutstandingRequests”, “PacketsReceived”, “PacketsSent”, “NumAliveConnections” ] }, { “outputWriters” : [ { “@class” : “com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory”, “url” : “http://192.168.99.100:8086/”, “database” : “zookeeper”, “username” : “admin”, “password” : “admin” } ], “obj”: “java.lang:type=Memory”, “resultAlias”: “Memory”, “attr”: [ “HeapMemoryUsage”, “NonHeapMemoryUsage” ] }, { “outputWriters” : [ { “@class” : “com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory”, “url” : “http://192.168.99.100:8086/”, “database” : “zookeeper”, “username” : “admin”, “password” : “admin” } ], “obj”: “java.lang:type=OperatingSystem”, “resultAlias”: “Process”, “attr”: [ “OpenFileDescriptorCount”, “ProcessCpuLoad” ] }, { “outputWriters” : [ { “@class” : “com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory”, “url” : “http://192.168.99.100:8086/”, “database” : “zookeeper”, “username” : “admin”, “password” : “admin” } ], “obj”: “java.lang:type=Threading”, “resultAlias”: “Threading”, “attr”: [ “ThreadCount” ] } ], “numQueryThreads”: 2 } ]}放在跟jmxtrans.sh脚本同一个目录下即可自动加载启动JAR_FILE=jmxtrans-270-all.jar ./jmxtrans.sh start日志输出实例2018-10-04 11:28:30 [main] level org.quartz.impl.StdSchedulerFactory [StdSchedulerFactory.java:1179] - Using default implementation for ThreadExecutor2018-10-04 11:28:30 [main] level org.quartz.core.SchedulerSignalerImpl [SchedulerSignalerImpl.java:60] - Initialized Scheduler Signaller of type: class org.quartz.core.SchedulerSignalerImpl2018-10-04 11:28:30 [main] level org.quartz.core.QuartzScheduler [QuartzScheduler.java:229] - Quartz Scheduler v.1.8.6 created.2018-10-04 11:28:30 [main] level org.quartz.simpl.RAMJobStore [RAMJobStore.java:139] - RAMJobStore initialized.2018-10-04 11:28:30 [main] level org.quartz.core.QuartzScheduler [QuartzScheduler.java:255] - Scheduler meta-data: Quartz Scheduler (v1.8.6) ‘ServerScheduler’ with instanceId ‘Mars.local1538623710548’ Scheduler class: ‘org.quartz.core.QuartzScheduler’ - running locally. NOT STARTED. Currently in standby mode. Number of jobs executed: 0 Using thread pool ‘org.quartz.simpl.SimpleThreadPool’ - with 10 threads. Using job-store ‘org.quartz.simpl.RAMJobStore’ - which does not support persistence. and is not clustered.2018-10-04 11:28:30 [main] level org.quartz.impl.StdSchedulerFactory [StdSchedulerFactory.java:1324] - Quartz scheduler ‘ServerScheduler’ initialized from an externally opened InputStream.2018-10-04 11:28:30 [main] level org.quartz.impl.StdSchedulerFactory [StdSchedulerFactory.java:1328] - Quartz scheduler version: 1.8.62018-10-04 11:28:30 [main] level org.quartz.core.QuartzScheduler [QuartzScheduler.java:2267] - JobFactory set to: com.googlecode.jmxtrans.guice.GuiceJobFactory@263f04ca2018-10-04 11:28:30 [main] level com.googlecode.jmxtrans.JmxTransformer [JmxTransformer.java:177] - Starting Jmxtrans on : .2018-10-04 11:28:30 [main] level org.quartz.core.QuartzScheduler [QuartzScheduler.java:519] - Scheduler ServerScheduler_$_Mars.local1538623710548 started.2018-10-04 11:28:30 [main] level com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory [InfluxDbWriterFactory.java:121] - Result Tags to write set to: [ResultAttribute(name=typeName), ResultAttribute(name=objDomain), ResultAttribute(name=className), ResultAttribute(name=attributeName)]2018-10-04 11:28:30 [main] level com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory [InfluxDbWriterFactory.java:102] - Connecting to url: http://192.168.99.100:8086/ as: username: admin2018-10-04 11:28:31 [main] level com.googlecode.jmxtrans.model.output.InfluxDbWriterFactory [InfluxDbWriterFactory.java:121] - Result Tags to write set to: [ResultAttribute(name=typeName), ResultAttribute(name=objDomain), ResultAttribute(name=className), ResultAttribute(name=attributeName)]查询influxdb数据docker exec -it influxdb influxConnected to http://localhost:8086 version 1.5.4InfluxDB shell version: 1.5.4> use zookeeperUsing database zookeeper> show MEASUREMENTSname: measurementsname—-ClientsMemoryProcessThreading> show series from “Memory"key—Memory,attributeName=HeapMemoryUsage,className=sun.management.MemoryImpl,hostname=zk,objDomain=java.lang,typeName=type=MemoryMemory,attributeName=NonHeapMemoryUsage,className=sun.management.MemoryImpl,hostname=zk,objDomain=java.lang,typeName=type=Memory之后通过select * from “Memory"可以查看具体指标数据查询到有数据之后，就可以在grafana上面进行配置可视化，然后进行监控小结对于zookeeper、kafka之类应用来说，内置了jmx，因而其监控可以通过jmxtrans进行指标收集转换，然后输出到influxdb或者graphite或者prometheus等，最后通过grafana进行可视化及监控报警。docjmxtransjmxtrans-270-all.jarHow do i enable remote jmx with port in zookeeper zkServer.cmdMonitoring Apache Kafka with Grafana / InfluxDB via JMX