如何利用prometheus监控zookeeper-创新互联
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官方介绍:主要有两种方式,四字命令和jmx
1、四字命令:
https://zookeeper.apache.org/doc/r3.4.14/zookeeperAdmin.html#sc_zkCommands 其中最常用的三个stat、srvr、cons
Three of the more interesting commands: "stat" gives some general information about the server and connected clients, while "srvr" and "cons" give extended details on server and connections respectively.
$ echo srvr | nc svc-zk.o.svc.mhc.local 2181 Zookeeper version: 3.4.10-39d3a4f269333c922ed3db283be479f9deacaa0f, built on 03/23/2017 10:13 GMT Latency min/avg/max: 0/0/802 Received: 5833450 Sent: 6074801 Connections: 84 Outstanding: 0 Zxid: 0x2d9407 Mode: standalone Node count: 12977
使用四字命令对已经在生产运行的zookeeper监控起来比较方便,就是向zookeeper服务发送mntr之类的命令
具体实现参考:https://github.com/jiankunking/zookeeper_exporter
按照上述参考文档构建镜或者使用打好的镜像 carlpett/zookeeper_exporter ,并启动exporter
docker run -it -p 9141:9141 --name=zookeeper_exporter_m -d xxx.xxx.com/library/zookeeper_exporter:1.0.2 -zookeeper svc-zk.m.svc.uuu.local:2181 curl http://127.0.0.1:9141/metrics ...... # HELP zk_avg_latency Average latency of requests # TYPE zk_avg_latency gauge zk_avg_latency 0 # HELP zk_ephemerals_count Number of ephemeral nodes # TYPE zk_ephemerals_count gauge zk_ephemerals_count 2625 # HELP zk_max_file_descriptor_count Maximum number of open file descriptors # TYPE zk_max_file_descriptor_count counter zk_max_file_descriptor_count 1.048576e+06 # HELP zk_max_latency Maximum seen latency of requests # TYPE zk_max_latency gauge zk_max_latency 1 # HELP zk_min_latency Minimum seen latency of requests # TYPE zk_min_latency gauge zk_min_latency 0 # HELP zk_num_alive_connections Number of active connections # TYPE zk_num_alive_connections gauge zk_num_alive_connections 82 # HELP zk_open_file_descriptor_count Number of open file descriptors # TYPE zk_open_file_descriptor_count gauge zk_open_file_descriptor_count 107 # HELP zk_outstanding_requests Number of outstanding requests # TYPE zk_outstanding_requests gauge zk_outstanding_requests 0 # HELP zk_packets_received Number of packets received # TYPE zk_packets_received counter zk_packets_received 40 # HELP zk_packets_sent Number of packets sent # TYPE zk_packets_sent counter zk_packets_sent 40 # HELP zk_server_state Server state (leader/follower) # TYPE zk_server_state untyped zk_server_state{state="standalone"} 1 # HELP zk_up Exporter successful # TYPE zk_up gauge zk_up 1 # HELP zk_watch_count Number of watches # TYPE zk_watch_count gauge zk_watch_count 22108 # HELP zk_znode_count Number of znodes # TYPE zk_znode_count gauge zk_znode_count 13105 # HELP zookeeper_exporter_build_info A metric with a constant '1' value labeled by version, revision, branch, and goversion from which zookeeper_exporter was built. # TYPE zookeeper_exporter_build_info gauge zookeeper_exporter_build_info{branch="",goversion="go1.10.8",revision="",version=""} 1
prometheus配置内容添加如下配置,此处同时添加了自定义标签env:
- job_name: zk-u static_configs: - targets: - 172.21.11.101:9141 labels: env: u - job_name: zk-m static_configs: - targets: - 172.21.11.101:9142 labels: env: m - job_name: zk-h static_configs: - targets: - 172.21.11.101:9143 labels: env: h - job_name: zk-c static_configs: - targets: - 172.21.11.101:9144 labels: env: c
reload生效配置
curl -XPOST http://prometheus:9090/-/reload
prometheus页面上查看target:
grafana展示:
2、jmx监控
是利用jvm_exporter暴露指标,参考prometheus官方jmx_exporter https://github.com/prometheus/jmx_exporter
jvm-exporter从基于jvm的应用读取jmx数据并以http的方式暴露给prometheus抓取
jmx是一种常用的技术,输出运行中应用的状态信息,并且可以控制它(例如用jmx触发gc)
jvm-exporter是用jmx apis收集app和jvm metrics的Java应用,以Java agent方式运行在同一个jvm里面。
jvm-exporter用Java写的,以jar包的方式发布,下载地址
有一个ansible role(https://github.com/alexdzyoba/ansible-jmx-exporter),配置文件包含将JMX MBean重写为Prometheus展示格式度量标准的规则。基本上它是将MBeans字符串转换为Prometheus字符串的regexp集合。
zookeeper是很多系统的关键组成部分,例如Hadoop, Kafka and Clickhouse,因此监控是必不可少的。
2.1、以java-agent方式运行(官方推荐):
zookeeper启动的时候传入参数启用,不需要开启jmx
$ cat java.env export SERVER_JVMFLAGS="-javaagent:/root/jmx_prometheus_javaagent-0.12.0.jar=7070:/root/config.yaml $SERVER_JVMFLAGS"
查看启动日志并检查结果:
$ netstat -tlnp | grep 7070 tcp 0 0 0.0.0.0:7070 0.0.0.0:* LISTEN 892/java $ curl -s localhost:7070/metrics | head # HELP jvm_threads_current Current thread count of a JVM # TYPE jvm_threads_current gauge jvm_threads_current 16.0 # HELP jvm_threads_daemon Daemon thread count of a JVM # TYPE jvm_threads_daemon gauge jvm_threads_daemon 12.0 # HELP jvm_threads_peak Peak thread count of a JVM # TYPE jvm_threads_peak gauge jvm_threads_peak 16.0 # HELP jvm_threads_started_total Started thread count of a JVM
With jmx-exporter you can scrape the metrics of running JVM applications. jmx-exporter runs as a Java agent (inside the target JVM) scrapes JMX metrics, rewrite it according to config rules and exposes it in Prometheus exposition format.
容器中启用jvm_exporter
基于官方zookeeper的github仓库,修改官方dockerfile以加入启动参数
下面链接是我修改后的,亲测可用
https://github.com/weifan01/zookeeper-docker/tree/master/3.4.14
构建好的zk-3.4.14版本镜像: docker pull 3070656869/zookeeper:3.4.14-jvm-exporter
启动OK后,访问8080端口查看结果
2.2、以http方式独立运行
参考官方文档:https://github.com/prometheus/jmx_exporter
git clone https://github.com/prometheus/jmx_exporter.git cd jmx_exporter mvn package
#修改配置文件example_configs/httpserver_sample_config.yml #修改启动脚本里面的监听地址和端口 sh run_sample_httpserver.sh
我测试配置如下:
$ cat http_server_config.yaml --- # jmx地址和端口 hostPort: 172.21.10.248:6666 username: password: rules: # replicated Zookeeper - pattern: "org.apache.ZooKeeperService<>(\\w+)" name: "zookeeper_$2" - pattern: "org.apache.ZooKeeperService <>(\\w+)" name: "zookeeper_$3" labels: replicaId: "$2" - pattern: "org.apache.ZooKeeperService <>(\\w+)" name: "zookeeper_$4" labels: replicaId: "$2" memberType: "$3" - pattern: "org.apache.ZooKeeperService <>(\\w+)" name: "zookeeper_$4_$5" labels: replicaId: "$2" memberType: "$3" # standalone Zookeeper - pattern: "org.apache.ZooKeeperService <>(\\w+)" name: "zookeeper_$2" - pattern: "org.apache.ZooKeeperService <>(\\w+)" name: "zookeeper_$2"
启动:
java -Dcom.sun.management.jmxremote.ssl=false -Dcom.sun.management.jmxremote.authenticate=false -Dcom.sun.management.jmxremote.port=6667 -jar jmx_prometheus_httpserver-0.12.1-SNAPSHOT-jar-with-dependencies.jar 172.21.10.248:6668 http_server_config.yaml
访问:
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