prometheus
先创建好映射目录/data/prometheus,然后把配置文件放上去,包括prom、record、alert配置,然后再启动容器
#cat prometheus.yml
global:
scrape_interval: 60s
evaluation_interval: 60s
rule_files:
- "/etc/prometheus/node-exporter-record-rules.yml"
- "/etc/prometheus/node-exporter-alert-rules.yml"
alerting:
alertmanagers:
- static_configs:
- targets:
- 192.168.18.19:9093
scrape_configs:
- job_name: prometheus
static_configs:
- targets: ['localhost:9090']
labels:
instance: prometheus
- job_name: linux
static_configs:
- targets: ['10.0.23.211:9100']
labels:
instance: 10.0.23.211
- targets: ['10.0.23.210:9100']
labels:
instance: 10.0.23.210
# cat node-exporter-record-rules.yml
groups:
- name: linux
rules:
- expr: up
record: node_exporter:up
labels:
desc: "节点是否在线, 在线1,不在线0"
unit: " "
job: "linux"
- expr: time() - node_boot_time_seconds{}
record: node_exporter:node_uptime
labels:
desc: "节点的运行时间"
unit: "s"
job: "linux"
##############################################################################################
# cpu #
- expr: (1 - avg by (environment,instance) (irate(node_cpu_seconds_total{job="linux",mode="idle"}[5m]))) * 100
record: node_exporter:cpu:total:percent
labels:
desc: "节点的cpu总消耗百分比"
unit: "%"
job: "linux"
- expr: (avg by (environment,instance) (irate(node_cpu_seconds_total{job="linux",mode="idle"}[5m]))) * 100
record: node_exporter:cpu:idle:percent
labels:
desc: "节点的cpu idle百分比"
unit: "%"
job: "linux"
- expr: (avg by (environment,instance) (irate(node_cpu_seconds_total{job="linux",mode="iowait"}[5m]))) * 100
record: node_exporter:cpu:iowait:percent
labels:
desc: "节点的cpu iowait百分比"
unit: "%"
job: "linux"
- expr: (avg by (environment,instance) (irate(node_cpu_seconds_total{job="linux",mode="system"}[5m]))) * 100
record: node_exporter:cpu:system:percent
labels:
desc: "节点的cpu system百分比"
unit: "%"
job: "linux"
- expr: (avg by (environment,instance) (irate(node_cpu_seconds_total{job="linux",mode="user"}[5m]))) * 100
record: node_exporter:cpu:user:percent
labels:
desc: "节点的cpu user百分比"
unit: "%"
job: "linux"
- expr: (avg by (environment,instance) (irate(node_cpu_seconds_total{job="linux",mode=~"softirq|nice|irq|steal"}[5m]))) * 100
record: node_exporter:cpu:other:percent
labels:
desc: "节点的cpu 其他的百分比"
unit: "%"
job: "linux"
##############################################################################################
##############################################################################################
# memory #
- expr: node_memory_MemTotal_bytes{job="linux"}
record: node_exporter:memory:total
labels:
desc: "节点的内存总量"
unit: byte
job: "linux"
- expr: node_memory_MemFree_bytes{job="linux"}
record: node_exporter:memory:free
labels:
desc: "节点的剩余内存量"
unit: byte
job: "linux"
- expr: node_memory_MemTotal_bytes{job="linux"} - node_memory_MemFree_bytes{job="linux"}
record: node_exporter:memory:used
labels:
desc: "节点的已使用内存量"
unit: byte
job: "linux"
- expr: node_memory_MemTotal_bytes{job="linux"} - node_memory_MemAvailable_bytes{job="linux"}
record: node_exporter:memory:actualused
labels:
desc: "节点用户实际使用的内存量"
unit: byte
job: "linux"
- expr: (1-(node_memory_MemAvailable_bytes{job="linux"} / (node_memory_MemTotal_bytes{job="linux"})))* 100
record: node_exporter:memory:used:percent
labels:
desc: "节点的内存使用百分比"
unit: "%"
job: "linux"
- expr: ((node_memory_MemAvailable_bytes{job="linux"} / (node_memory_MemTotal_bytes{job="linux"})))* 100
record: node_exporter:memory:free:percent
labels:
desc: "节点的内存剩余百分比"
unit: "%"
job: "linux"
##############################################################################################
# load #
- expr: sum by (instance) (node_load1{job="linux"})
record: node_exporter:load:load1
labels:
desc: "系统1分钟负载"
unit: " "
job: "linux"
- expr: sum by (instance) (node_load5{job="linux"})
record: node_exporter:load:load5
labels:
desc: "系统5分钟负载"
unit: " "
job: "linux"
- expr: sum by (instance) (node_load15{job="linux"})
record: node_exporter:load:load15
labels:
desc: "系统15分钟负载"
unit: " "
job: "linux"
##############################################################################################
# disk #
- expr: node_filesystem_size_bytes{job="linux" ,fstype=~"ext4|xfs"}
record: node_exporter:disk:usage:total
labels:
desc: "节点的磁盘总量"
unit: byte
job: "linux"
- expr: node_filesystem_avail_bytes{job="linux",fstype=~"ext4|xfs"}
record: node_exporter:disk:usage:free
labels:
desc: "节点的磁盘剩余空间"
unit: byte
job: "linux"
- expr: node_filesystem_size_bytes{job="linux",fstype=~"ext4|xfs"} - node_filesystem_avail_bytes{job="linux",fstype=~"ext4|xfs"}
record: node_exporter:disk:usage:used
labels:
desc: "节点的磁盘使用的空间"
unit: byte
job: "linux"
- expr: (1 - node_filesystem_avail_bytes{job="linux",fstype=~"ext4|xfs"} / node_filesystem_size_bytes{job="linux",fstype=~"ext4|xfs"}) * 100
record: node_exporter:disk:used:percent
labels:
desc: "节点的磁盘的使用百分比"
unit: "%"
job: "linux"
- expr: irate(node_disk_reads_completed_total{job="linux"}[1m])
record: node_exporter:disk:read:count:rate
labels:
desc: "节点的磁盘读取速率"
unit: "次/秒"
job: "linux"
- expr: irate(node_disk_writes_completed_total{job="linux"}[1m])
record: node_exporter:disk:write:count:rate
labels:
desc: "节点的磁盘写入速率"
unit: "次/秒"
job: "linux"
- expr: (irate(node_disk_written_bytes_total{job="linux"}[1m]))/1024/1024
record: node_exporter:disk:read:mb:rate
labels:
desc: "节点的设备读取MB速率"
unit: "MB/s"
job: "linux"
- expr: (irate(node_disk_read_bytes_total{job="linux"}[1m]))/1024/1024
record: node_exporter:disk:write:mb:rate
labels:
desc: "节点的设备写入MB速率"
unit: "MB/s"
job: "linux"
##############################################################################################
# filesystem #
- expr: (1 -node_filesystem_files_free{job="linux",fstype=~"ext4|xfs"} / node_filesystem_files{job="linux",fstype=~"ext4|xfs"}) * 100
record: node_exporter:filesystem:used:percent
labels:
desc: "节点的inode的剩余可用的百分比"
unit: "%"
job: "linux"
#############################################################################################
# filefd #
- expr: node_filefd_allocated{job="linux"}
record: node_exporter:filefd_allocated:count
labels:
desc: "节点的文件描述符打开个数"
unit: "%"
job: "linux"
- expr: node_filefd_allocated{job="linux"}/node_filefd_maximum{job="linux"} * 100
record: node_exporter:filefd_allocated:percent
labels:
desc: "节点的文件描述符打开百分比"
unit: "%"
job: "linux"
#############################################################################################
# network #
- expr: avg by (environment,instance,device) (irate(node_network_receive_bytes_total{device=~"eth0|eth1|ens33|ens37"}[1m]))
record: node_exporter:network:netin:bit:rate
labels:
desc: "节点网卡eth0每秒接收的比特数"
unit: "bit/s"
job: "linux"
- expr: avg by (environment,instance,device) (irate(node_network_transmit_bytes_total{device=~"eth0|eth1|ens33|ens37"}[1m]))
record: node_exporter:network:netout:bit:rate
labels:
desc: "节点网卡eth0每秒发送的比特数"
unit: "bit/s"
job: "linux"
- expr: avg by (environment,instance,device) (irate(node_network_receive_packets_total{device=~"eth0|eth1|ens33|ens37"}[1m]))
record: node_exporter:network:netin:packet:rate
labels:
desc: "节点网卡每秒接收的数据包个数"
unit: "个/秒"
job: "linux"
- expr: avg by (environment,instance,device) (irate(node_network_transmit_packets_total{device=~"eth0|eth1|ens33|ens37"}[1m]))
record: node_exporter:network:netout:packet:rate
labels:
desc: "节点网卡发送的数据包个数"
unit: "个/秒"
job: "linux"
- expr: avg by (environment,instance,device) (irate(node_network_receive_errs_total{device=~"eth0|eth1|ens33|ens37"}[1m]))
record: node_exporter:network:netin:error:rate
labels:
desc: "节点设备驱动器检测到的接收错误包的数量"
unit: "个/秒"
job: "linux"
- expr: avg by (environment,instance,device) (irate(node_network_transmit_errs_total{device=~"eth0|eth1|ens33|ens37"}[1m]))
record: node_exporter:network:netout:error:rate
labels:
desc: "节点设备驱动器检测到的发送错误包的数量"
unit: "个/秒"
job: "linux"
- expr: node_tcp_connection_states{job="linux", state="established"}
record: node_exporter:network:tcp:established:count
labels:
desc: "节点当前established的个数"
unit: "个"
job: "linux"
- expr: node_tcp_connection_states{job="linux", state="time_wait"}
record: node_exporter:network:tcp:timewait:count
labels:
desc: "节点timewait的连接数"
unit: "个"
job: "linux"
- expr: sum by (environment,instance) (node_tcp_connection_states{job="linux"})
record: node_exporter:network:tcp:total:count
labels:
desc: "节点tcp连接总数"
unit: "个"
job: "linux"
#############################################################################################
# process #
- expr: node_processes_state{state="Z"}
record: node_exporter:process:zoom:total:count
labels:
desc: "节点当前状态为zoom的个数"
unit: "个"
job: "linux"
#############################################################################################
# other #
- expr: abs(node_timex_offset_seconds{job="linux"})
record: node_exporter:time:offset
labels:
desc: "节点的时间偏差"
unit: "s"
job: "linux"
#############################################################################################
- expr: count by (instance) ( count by (instance,cpu) (node_cpu_seconds_total{ mode='system'}) )
record: node_exporter:cpu:count
#
# cat node-exporter-alert-rules.yml
groups:
- name: node-exporter-alert
rules:
- alert: node-exporter-down
expr: node_exporter:up == 0
for: 1m
labels:
severity: info
annotations:
summary: "instance: {{ $labels.instance }} 宕机了"
description: "instance: {{ $labels.instance }}
- job: {{ $labels.job }} 关机了, 时间已经1分钟了。"
value: "{{ $value }}"
instance: "{{ $labels.instance }}"
- alert: node-exporter-cpu-high
expr: node_exporter:cpu:total:percent > 80
for: 3m
labels:
severity: info
annotations:
summary: "instance: {{ $labels.instance }} cpu 使用率高于 {{ $value }}"
description: ""
value: "{{ $value }}"
instance: "{{ $labels.instance }}"
- alert: node-exporter-cpu-iowait-high
expr: node_exporter:cpu:iowait:percent >= 12
for: 3m
labels:
severity: info
annotations:
summary: "instance: {{ $labels.instance }} cpu iowait 使用率高于 {{ $value }}"
description: ""
value: "{{ $value }}"
instance: "{{ $labels.instance }}"
- alert: node-exporter-memory-high
expr: node_exporter:memory:used:percent > 80
for: 3m
labels:
severity: info
annotations:
summary: "instance: {{ $labels.instance }} memory 使用率高于 {{ $value }}"
description: ""
value: "{{ $value }}"
instance: "{{ $labels.instance }}"
- alert: node-exporter-disk-high
expr: node_exporter:disk:used:percent > 80
for: 10m
labels:
severity: info
annotations:
summary: "instance: {{ $labels.instance }} disk 使用率高于 {{ $value }}"
description: ""
value: "{{ $value }}"
instance: "{{ $labels.instance }}"
- alert: node-exporter-inode-high
expr: node_exporter:filesystem:used:percent > 80
for: 10m
labels:
severity: info
annotations:
summary: "instance: {{ $labels.instance }} inode 使用率高于 {{ $value }}"
description: ""
value: "{{ $value }}"
instance: "{{ $labels.instance }}"
- alert: node-exporter-filefd-allocated-percent-high
expr: node_exporter:filefd_allocated:percent > 80
for: 10m
labels:
severity: info
annotations:
summary: "instance: {{ $labels.instance }} 打开文件描述符 高于 {{ $value }}"
description: ""
value: "{{ $value }}"
instance: "{{ $labels.instance }}"
docker run -d -p 9090:9090 -v /data/prometheus:/etc/prometheus/ -v /data/promdata:/prometheus -v /etc/localtime:/etc/localtime:ro -v /etc/timezone:/etc/timezone:ro prom/prometheus --config.file=/etc/prometheus/prometheus.yml --storage.tsdb.path=/prometheus --web.console.libraries=/usr/share/prometheus/console_libraries --web.console.templates=/usr/share/prometheus/consoles --web.enable-admin-api # 控制对admin HTTP API的访问,其中包括删除时间序列等功能 --web.enable-lifecycle # 支持热更新,直接执行localhost:9090/-/reload立即生效
下载node_exporter后放入/usr/local/bin/
chmod +x node_exporter
groupadd -r prometheus useradd -r -g prometheus -s /sbin/nologin -M -c "prometheus Daemons" prometheus cat << EOF > /usr/lib/systemd/system/node_exporter.service [Service] User=prometheus Group=prometheus ExecStart=/usr/local/bin/node_exporter [Install] WantedBy=multi-user.target [Unit] Description=node_exporter After=network.target EOF systemctl start node_exporter systemctl status node_exporter systemctl enable node_exporter
alertmanager
docker run -d -p 9093:9093 -v /etc/localtime:/etc/localtime:ro -v /etc/timezone:/etc/timezone:ro -v /etc/timezone:/etc/timezone:ro prom/alertmanager
alert没有映射配置文件,直接到容器里修改后重启
报警接收者走的是钉钉的webhook
cat /etc/alertmanager/alertmanager.yml
global:
resolve_timeout: 5m
route:
receiver: webhook
group_wait: 30s
group_interval: 5m
repeat_interval: 4h
group_by: [alertname]
routes:
- receiver: webhook
group_wait: 10s
match:
team: node
receivers:
- name: webhook
webhook_configs:
- send_resolved: true
url: http://192.168.18.19:8060/dingtalk/webhook1/send
prometheus-webhook-dingtalk
启动时带上钉钉机器人给到的token启动
docker run -d --restart always -p 8060:8060 -v /etc/localtime:/etc/localtime:ro -v /etc/timezone:/etc/timezone:ro timonwong/prometheus-webhook-dingtalk --ding.profile="webhook1=https://oapi.dingtalk.com/robot/send?access_token=xxx"