prometheus专题—（四）Ansible批量安装node_exporther

配置hosts
172.16.58.78   prome-master01
172.16.58.79   prome-node01
master上生成ssh key 并拷贝到node上
ssh-keygen
ssh-copy-id prome_node_01
# 测试ssh联通
ssh prome_node_01

yum install -y ansible
# 关闭hostcheck 
vim /etc/ansible/ansible.cfg
ssh_args = -o ControlMaster=auto -o ControlPersist=60s -o StrictHostKeyChecking＝no 
playbook执行时需要设置机器文件 
cat <<EOF > /opt/tgzs/host_file
prome-master01
prome-node01
EOF
设置syslog 和logrotate服务
ansible-playbook -i host_file init_syslog_logrotate.yaml
编写ansible 发布服务脚本
ansible-playbook -i host_file  service_deploy.yaml  -e "tgz=node_exporter-1.1.2.linux-amd64.tar.gz" -e "app=node_exporter"
检查node_exporter服务状态
ansible -i host_file all -m shell -a " ps -ef |grep node_exporter|grep -v grep "

IP:9100/metrics
IP:9100/metrics

[root@prome_master_01 tgzs]# curl  -s  localhost:9100/metrics |grep node_  |head -20
# HELP node_arp_entries ARP entries by device
# TYPE node_arp_entries gauge
node_arp_entries{device="eth0"} 3
# HELP node_boot_time_seconds Node boot time, in unixtime.
# TYPE node_boot_time_seconds gauge
node_boot_time_seconds 1.616987084e+09
# HELP node_context_switches_total Total number of context switches.
# TYPE node_context_switches_total counter
node_context_switches_total 2.105979e+06
# HELP node_cooling_device_cur_state Current throttle state of the cooling device
# TYPE node_cooling_device_cur_state gauge
node_cooling_device_cur_state{name="0",type="Processor"} 0
node_cooling_device_cur_state{name="1",type="Processor"} 0
node_cooling_device_cur_state{name="2",type="Processor"} 0
node_cooling_device_cur_state{name="3",type="Processor"} 0
# HELP node_cooling_device_max_state Maximum throttle state of the cooling device
# TYPE node_cooling_device_max_state gauge
node_cooling_device_max_state{name="0",type="Processor"} 0
node_cooling_device_max_state{name="1",type="Processor"} 0
node_cooling_device_max_state{name="2",type="Processor"} 0

--no-collector.<name> flag
# 未开启前
[root@prome_master_01 node_exporter]# curl  -s  localhost:9100/metrics |grep node_cpu
# HELP node_cpu_guest_seconds_total Seconds the CPUs spent in guests (VMs) for each mode.
# TYPE node_cpu_guest_seconds_total counter
node_cpu_guest_seconds_total{cpu="0",mode="nice"} 0
node_cpu_guest_seconds_total{cpu="0",mode="user"} 0
node_cpu_guest_seconds_total{cpu="1",mode="nice"} 0
node_cpu_guest_seconds_total{cpu="1",mode="user"} 0
node_cpu_guest_seconds_total{cpu="2",mode="nice"} 0
node_cpu_guest_seconds_total{cpu="2",mode="user"} 0
node_cpu_guest_seconds_total{cpu="3",mode="nice"} 0
node_cpu_guest_seconds_total{cpu="3",mode="user"} 0
# HELP node_cpu_seconds_total Seconds the CPUs spent in each mode.
# TYPE node_cpu_seconds_total counter
node_cpu_seconds_total{cpu="0",mode="idle"} 17691.27
node_cpu_seconds_total{cpu="0",mode="iowait"} 8.9
node_cpu_seconds_total{cpu="0",mode="irq"} 0
node_cpu_seconds_total{cpu="0",mode="nice"} 0.32
node_cpu_seconds_total{cpu="0",mode="softirq"} 0.28
node_cpu_seconds_total{cpu="0",mode="steal"} 2.7
# 关闭cpu采集
 ./node_exporter --no-collector.cpu
curl  -s  localhost:9100/metrics |grep node_cpu

 --collector.disable-defaults --collector.<name> .
# 只开启mem采集
 ./node_exporter --collector.disable-defaults --collector.meminfo
# 只开启mem 和cpu 采集
./node_exporter --collector.disable-defaults --collector.meminfo --collector.cpu

[root@prome_master_01 tgzs]# curl  -s  localhost:9100/metrics |grep promhttp_
# HELP promhttp_metric_handler_errors_total Total number of internal errors encountered by the promhttp metric handler.
# TYPE promhttp_metric_handler_errors_total counter
promhttp_metric_handler_errors_total{cause="encoding"} 0
promhttp_metric_handler_errors_total{cause="gathering"} 0
# HELP promhttp_metric_handler_requests_in_flight Current number of scrapes being served.
# TYPE promhttp_metric_handler_requests_in_flight gauge
promhttp_metric_handler_requests_in_flight 1
# HELP promhttp_metric_handler_requests_total Total number of scrapes by HTTP status code.
# TYPE promhttp_metric_handler_requests_total counter
promhttp_metric_handler_requests_total{code="200"} 8
promhttp_metric_handler_requests_total{code="500"} 0
promhttp_metric_handler_requests_total{code="503"} 0

# HELP go_goroutines Number of goroutines that currently exist.
# TYPE go_goroutines gauge
go_goroutines 7
# HELP go_info Information about the Go environment.
# TYPE go_info gauge
go_info{version="go1.15.8"} 1
# HELP go_memstats_alloc_bytes Number of bytes allocated and still in use.
# TYPE go_memstats_alloc_bytes gauge
go_memstats_alloc_bytes 2.781752e+06

# HELP process_cpu_seconds_total Total user and system CPU time spent in seconds.
# TYPE process_cpu_seconds_total counter
process_cpu_seconds_total 0.54
# HELP process_max_fds Maximum number of open file descriptors.
# TYPE process_max_fds gauge
process_max_fds 1024
# HELP process_open_fds Number of open file descriptors.
# TYPE process_open_fds gauge
process_open_fds 9
# HELP process_resident_memory_bytes Resident memory size in bytes.
# TYPE process_resident_memory_bytes gauge
process_resident_memory_bytes 1.5720448e+07

# 创建目录
mkdir ./text_file_dir
# 准备 prom文件
cat <<EOF > ./text_file_dir/test.prom
# HELP nyy_test_metric just test
# TYPE nyy_test_metric gauge
nyy_test_metric{method="post",code="200"} 1027
EOF
# 启动服务
./node_exporter --collector.textfile.directory=./text_file_dir
# curl查看数据
[root@prome_master_01 tgzs]# curl  -s  localhost:9100/metrics |grep nyy
# HELP nyy_test_metric just test
# TYPE nyy_test_metric gauge
nyy_test_metric{code="200",method="post"} 1027

func (h *handler) ServeHTTP(w http.ResponseWriter, r *http.Request) {
  filters := r.URL.Query()["collect[]"]
  level.Debug(h.logger).Log("msg", "collect query:", "filters", filters)
  if len(filters) == 0 {
    // No filters, use the prepared unfiltered handler.
    h.unfilteredHandler.ServeHTTP(w, r)
    return
  }
  // To serve filtered metrics, we create a filtering handler on the fly.
  filteredHandler, err := h.innerHandler(filters...)
  if err != nil {
    level.Warn(h.logger).Log("msg", "Couldn't create filtered metrics handler:", "err", err)
    w.WriteHeader(http.StatusBadRequest)
    w.Write([]byte(fmt.Sprintf("Couldn't create filtered metrics handler: %s", err)))
    return
  }
  filteredHandler.ServeHTTP(w, r)
}

# 只看cpu采集器的指标
http://IP:9100/metrics?collect[]=cpu
# 只看cpu和mem采集器的指标
http://IP:9100/metrics?collect[]=cpu&collect[]=meminfo

  params:
    collect[]:
      - cpu
      - meminfo
两种导入模式
- url导入
- json文件导入