Docker之监控与日志

1.　　cAdvisor原生集群监控

　　　　docker run -d --name=cadvisor \

　　　　-v /:/rootfs:ro \

　　　　-v /var/run:/var/run:rw \

　　　　-v /sys:/sys:ro \

　　　　-v /var/lib/docker/:/var/lib/docker:ro \

　　　　-p 8080:8080 \

　　　　google/cadvisor:latest　　　　　　　　　　

2.　　部署prometheus服务端

　　　　1.　　创建prometheus.yml文件，内容如下：

# my global config
global:
  scrape_interval:     15s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
  evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute.
  # scrape_timeout is set to the global default (10s).

# Alertmanager configuration
alerting:
  alertmanagers:
  - static_configs:
    - targets:
      # - alertmanager:9093

# Load rules once and periodically evaluate them according to the global 'evaluation_interval'.
rule_files:
  # - "first_rules.yml"
  # - "second_rules.yml"

# A scrape configuration containing exactly one endpoint to scrape:
# Here it's Prometheus itself.
scrape_configs:
  # The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.
  - job_name: 'prometheus'

    # metrics_path defaults to '/metrics'
    # scheme defaults to 'http'.

    static_configs:
    #监听的地址
    - targets: ['192.168.1.203:9090']

　　　　2.　　docker启动prometheus容器

docker run -d -p 9090:9090 -v /root/prometheus.yml:/etc/prometheus/prometheus.yml -v "/etc/localtime:/etc/localtime" --name prometheus --net=host prom/prometheus

3.　　使用prometheus监控docker主机和容器

　　　　1.　　安装node exporter收集硬件信息

docker run -d -p 9100:9100 -v "/proc:/host/proc" -v "/sys:/host/sys" -v "/:/rootfs" -v "/etc/localtime:/etc/localtime" --net=host prom/node-exporter --path.procfs /host/proc --path.sysfs /host/sys --collector.filesystem.ignored-mount-points "^/(sys|proc|dev|host|etc)($|/)"

　　　　2.　　安装cAdvisor收集容器信息

docker run -d \
--volume=/:/rootfs:ro \
--volume=/var/run:/var/run:rw \
--volume=/sys:/sys:ro \
--volume=/var/lib/docker/:/var/lib/docker:ro \
--publish=8080:8080 \
--detach=true \
--name=cadvisor \
--net=host \
-v "/etc/localtime:/etc/localtime" \
google/cadvisor:latest

　　　　3.　　cAdvisor使用metrics收集监控指标

　　　　　　　　访问地址： http://ip:8080/metrics

　　　　4.　　修改prometheus的配置文件，让它采集被监控的主机的metrics

# my global config
global:
  scrape_interval:     15s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
  evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute.
  # scrape_timeout is set to the global default (10s).

# Alertmanager configuration
alerting:
  alertmanagers:
  - static_configs:
    - targets:
      # - alertmanager:9093

# Load rules once and periodically evaluate them according to the global 'evaluation_interval'.
rule_files:
  # - "first_rules.yml"
  # - "second_rules.yml"

# A scrape configuration containing exactly one endpoint to scrape:
# Here it's Prometheus itself.
scrape_configs:
  # The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.
  - job_name: 'prometheus'

    # metrics_path defaults to '/metrics'
    # scheme defaults to 'http'.

    static_configs:
    #监听的地址
    - targets: ['192.168.1.203:9090']
  - job_name: 'docker203'
    static_configs:
    - targets: ['192.168.1.203:8098']

　　　　5.　　在prometheus的界面，输入container，就可以看到对应的监控值的图。　　　　　　

4.　　安装grafana

docker run -d -i -p 3000:3000 -v "/etc/localtime:/etc/localtime" -e "GF_SERVER_ROOT_URL=http://grafana.server.name" -e "GF_SECURITY_ADMIN_PASSWORD=admin8888" --net=host grafana/grafana

5.　　配置管理grafana

　　　　1.　　添加data source

 

　　　　2.　　添加dashboard

　　　　　　　　可以导入import模板，编号为193

　　　　　　　　也可以下载对应的模板，下载地址：https://grafana.com/grafana/dashboards?dataSource=prometheus&search=docker