[系统集成] 部署 mesos-exporter 和 prometheus 监控 mesos task

前几天我在mesos平台上基于 cadvisor部署了 influxdb 和 grafana，用于监控 mesos 以及 docker app 运行信息，发现这套监控系统不太适合 mesos + docker 的架构，原因是：

1）mesos task id 和 docker container name 不一致

cadvisor 的设计基于 docker host，没有考虑到mesos 数据中心；

cadvisor 用 docker name（docker ps能看到）来标记抓取的数据，而 mesos 用 task id（在mesos ui 或者metrics里能看到） 来标记正在运行的任务。mesos task 的类型可以是 docker 容器，也可以是非容器。mesos task id 与docker container name 的命名也是完全不一样的。

上述问题导致 cadvisor 抓取到数据后，用户难以识别属于哪个 mesos task

2）cadvisor 和 grafana 不支持报警

 

经过查询资料，发现 mesos-exporter + prometheus + alert-manager 是个很好的组合，可以解决上述问题：

mesos-exporter 是 mesosphere 开发的工具，用于导出 mesos 集群包括 task 的监控数据并传递给prometheus；prometheus是个集 db、graph、statistic 于一体的监控工具；alert-manager 是 prometheus 的报警工具

搭建方法：

1. build mesos-exporter

git clone https://github.com/mesosphere/mesos_exporter.git
cd mesos_exporter
docker build -f Dockerfile -t mesosphere/mesos-exporter .

2. docker pull prometheus, alert-manager

3. 部署 mesos-exporter, alert-manager, prometheus

mesos-exporter：

{
  "id": "mesos-exporter-slave",
  "instances": 6,
  "cpus": 0.2,
  "mem": 128,
  "args": [
      "-slave=http://127.0.0.1:5051",
      "-timeout=5s"
  ],
  "constraints": [
      ["hostname","UNIQUE"],
      ["hostname", "LIKE", "slave[1-6]"]
  ],
  "container": {
    "type": "DOCKER",
    "docker": {
      "image": "172.31.17.36:5000/mesos-exporter:latest",
      "network": "HOST"
    },
    "volumes": [
      {
        "containerPath": "/etc/localtime",
        "hostPath": "/etc/localtime",
        "mode": "RO"
      }
    ]
  }
}

请打开slave 防火墙的9110/tcp 端口

 

alert-manager:

{
  "id": "alertmanager",
  "instances": 1,
  "cpus": 0.5,
  "mem": 128,
  "constraints": [
      ["hostname","UNIQUE"],
      ["hostname", "LIKE", "slave[1-6]"]
  ],
  "labels": {
    "HAPROXY_GROUP":"external",
    "HAPROXY_0_VHOST":"alertmanager.test.com"
  },
  "container": {
    "type": "DOCKER",
    "docker": {
      "image": "172.31.17.36:5000/alertmanager:latest",
      "network": "BRIDGE",
      "portMappings": [
        { "containerPort": 9093, "hostPort": 0, "servicePort": 0, "protocol": "tcp" }
      ]
    },
    "volumes": [
      {
        "containerPath": "/etc/localtime",
        "hostPath": "/etc/localtime",
        "mode": "RO"
      },
      {
        "containerPath": "/etc/alertmanager/config.yml",
        "hostPath": "/var/nfsshare/alertmanager/config.yml",
        "mode": "RO"
      },
      {
        "containerPath": "/alertmanager",
        "hostPath": "/var/nfsshare/alertmanager/data",
        "mode": "RW"
      }
    ]
  }
}

 

prometheus：

{
  "id": "prometheus",
  "instances": 1,
  "cpus": 0.5,
  "mem": 128,
  "args": [
      "-config.file=/etc/prometheus/prometheus.yml", 
      "-storage.local.path=/prometheus",
      "-web.console.libraries=/etc/prometheus/console_libraries",
      "-web.console.templates=/etc/prometheus/consoles",
      "-alertmanager.url=http://alertmanager.test.com"
  ],
  "constraints": [
      ["hostname","UNIQUE"],
      ["hostname", "LIKE", "slave[1-6]"]
  ],
  "labels": {
    "HAPROXY_GROUP":"external",
    "HAPROXY_0_VHOST":"prometheus.test.com"
  },
  "container": {
    "type": "DOCKER",
    "docker": {
      "image": "172.31.17.36:5000/prometheus:latest",
      "network": "BRIDGE",
      "portMappings": [
        { "containerPort": 9090, "hostPort": 0, "servicePort": 0, "protocol": "tcp" }
      ]
    },
    "volumes": [
      {
        "containerPath": "/etc/localtime",
        "hostPath": "/etc/localtime",
        "mode": "RO"
      },
      {
        "containerPath": "/etc/prometheus",
        "hostPath": "/var/nfsshare/prometheus/conf",
        "mode": "RO"
      },
      {
        "containerPath": "/prometheus",
        "hostPath": "/var/nfsshare/prometheus/data",
        "mode": "RW"
      }
    ]
  }
}

 

4. prometheus 配置

prometheus.yml

# my global config
global:
  scrape_interval:     15s # By default, scrape targets every 15 seconds.
  evaluation_interval: 15s # By default, scrape targets every 15 seconds.
  # scrape_timeout is set to the global default (10s).

  # Attach these labels to any time series or alerts when communicating with
  # external systems (federation, remote storage, Alertmanager).
  external_labels:
      monitor: 'codelab-monitor'

# Load and evaluate rules in this file every 'evaluation_interval' seconds.
rule_files:
  # - "first.rules"
  # - "second.rules"

scrape_configs:
  - job_name: 'mesos-slaves'
    scrape_interval: 5s
    metrics_path: '/metrics'
    scheme: 'http'
    target_groups:
      - targets: ['172.31.17.31:9110', '172.31.17.32:9110', '172.31.17.33:9110', '172.31.17.34:9110', '172.31.17.35:9110', '172.31.17.36:9110']
      - labels:
          group: 'office'

　　

待补充 ...

 

5. 报警设置

待补充 ...

 

6. 与 grafana 集成

prometheus的 graph 功能不太完善，可以与 grafana 集成，让 grafana 承担 graph 功能。

 

data source 设置： 

 

7. 附：mesos metrics 和 statics 地址

http://master1:5050/metrics/snapshot

http://slave4:5051/metrics/snapshot

http://master1:5050/master/state.json

http://slave4:5051/monitor/statistics.json

用户可以基于上述页面的数据，编写自己的监控程序。