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prometheus监控zookeeper
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=""} 1prometheus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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