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环境,软件准备

本次演示环境，我是在虚拟机上安装 Linux 系统来执行操作，以下是安装的软件及版本：

• System: CentOS Linux release 7.6
• Docker: 24.0.5
• Prometheus: v2.37.6
• Consul: 1.6.1

 docker 安装prometheus,alertmanage,说明一下这里直接将exporter,grafana等组件一起安装完成.

[root@node1-prome /zpf/k8s/prometheus/docker-prometheus]$cat docker-compose.yaml
version: '3.3'volumes:prometheus_data: {}grafana_data: {}networks:monitoring:driver: bridgeservices:prometheus:image: prom/prometheus:v2.37.6container_name: prometheusrestart: alwaysvolumes:- /etc/localtime:/etc/localtime:ro- ./prometheus/:/etc/prometheus/- prometheus_data:/prometheuscommand:- '--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'#热加载配置- '--web.enable-lifecycle'#api配置#- '--web.enable-admin-api'#历史数据最大保留时间，默认15天- '--storage.tsdb.retention.time=30d'networks:- monitoringlinks:- alertmanager- cadvisor- node_exporterexpose:- '9090'ports:- 9090:9090depends_on:- cadvisoralertmanager:image: prom/alertmanager:v0.25.0container_name: alertmanagerrestart: alwaysvolumes:- /etc/localtime:/etc/localtime:ro- ./alertmanager/:/etc/alertmanager/command:- '--config.file=/etc/alertmanager/config.yml'- '--storage.path=/alertmanager'networks:- monitoringexpose:- '9093'ports:- 9093:9093cadvisor:image: google/cadvisor:latestcontainer_name: cadvisorrestart: alwaysvolumes:- /etc/localtime:/etc/localtime:ro- /:/rootfs:ro- /var/run:/var/run:rw- /sys:/sys:ro- /var/lib/docker/:/var/lib/docker:ronetworks:- monitoringexpose:- '8080'node_exporter:image: prom/node-exporter:v1.5.0container_name: node-exporterrestart: alwaysvolumes:- /etc/localtime:/etc/localtime:ro- /proc:/host/proc:ro- /sys:/host/sys:ro- /:/rootfs:rocommand:- '--path.procfs=/host/proc'- '--path.sysfs=/host/sys'- '--collector.filesystem.ignored-mount-points=^/(sys|proc|dev|host|etc|rootfs/var/lib/docker)($$|/)'networks:- monitoringports:- '9100:9100'grafana:image: registry.cn-beijing.aliyuncs.com/scorpio/grafana-cn:v9.4.0container_name: grafanarestart: alwaysvolumes:- /etc/localtime:/etc/localtime:ro- grafana_data:/var/lib/grafana- ./grafana/provisioning/:/etc/grafana/provisioning/env_file:- ./grafana/config.monitoringnetworks:- monitoringlinks:- prometheusports:- 3000:3000depends_on:- prometheus

docker-compose中将部分容器的配置文件目录映射到了宿主机上做了持久化.方便修改配置项.

创建prometheus配置文件.*这里rule_files:下面的事报警触发器配置.可以是单个文件.也可以是整个目录.生产环境中可能会有多个目录进行报警的触发配置.

[root@node1-prome /zpf/k8s/prometheus/docker-prometheus/prometheus]$cat prometheus.yml
# 全局配置
global:scrape_interval:     15s # 将搜刮间隔设置为每15秒一次。默认是每1分钟一次。evaluation_interval: 15s # 每15秒评估一次规则。默认是每1分钟一次。# Alertmanager 配置
alerting:alertmanagers:- static_configs:- targets: ['alertmanager:9093']# 报警(触发器)配置
rule_files:- "alert.yml"- "rules/*.yml"# 搜刮配置
scrape_configs:- job_name: 'prometheus'# 覆盖全局默认值，每15秒从该作业中刮取一次目标scrape_interval: 15sstatic_configs:- targets: ['192.168.75.41:9090']- job_name: 'alertmanager'# 覆盖全局默认值，每15秒从该作业中刮取一次目标scrape_interval: 15sstatic_configs:- targets: ['alertmanager:9093']- job_name: 'node-exporter'consul_sd_configs:- server: '192.168.75.41:8500'services: []relabel_configs:- source_labels: [__meta_consul_tags]regex: .*node-exporter.*action: keep- regex: __meta_consul_service_metadata_(.+)action: labelmap

创建node-exporter的监控项信息,

说明一下.为了后面的报警触发,这里将没存利用率设置为只要内存可用率大于10就触发报警.(其实就是node-exporter中的一堆监控项的运算组合.)最后达到预期的阈值就会进行报警.

[root@node1-prome /zpf/k8s/prometheus/docker-prometheus/prometheus]$cat alert.yml
groups:
- name: node-exporterrules:- alert: HostOutOfMemory
#    expr: node_memory_MemAvailable_bytes / node_memory_MemTotal_bytes * 100 < 10expr: node_memory_MemAvailable_bytes / node_memory_MemTotal_bytes * 100 > 10for: 1mlabels:severity: warningannotations:summary: "主机内存不足,实例:{{ $labels.instance }}"
#      description: "内存可用率<10%，当前值：{{ $value }}"description: "内存可用率>10%，当前值：{{ $value }}"- alert: HostMemoryUnderMemoryPressureexpr: rate(node_vmstat_pgmajfault[1m]) > 1000for: 2mlabels:severity: warningannotations:summary: "内存压力不足,实例:{{ $labels.instance }}"description: "节点内存压力大。 重大页面错误率高，当前值为：{{ $value }}"- alert: HostUnusualNetworkThroughputInexpr: sum by (instance) (rate(node_network_receive_bytes_total[2m])) / 1024 / 1024 > 100for: 5mlabels:severity: warningannotations:summary: "异常流入网络吞吐量,实例:{{ $labels.instance }}"description: "网络流入流量 > 100 MB/s，当前值：{{ $value }}"- alert: HostUnusualNetworkThroughputOutexpr: sum by (instance) (rate(node_network_transmit_bytes_total[2m])) / 1024 / 1024 > 100for: 5mlabels:severity: warningannotations:summary: "异常流出网络吞吐量，实例:{{ $labels.instance }}"description: "网络流出流量 > 100 MB/s，当前值为：{{ $value }}"- alert: HostUnusualDiskReadRateexpr: sum by (instance) (rate(node_disk_read_bytes_total[2m])) / 1024 / 1024 > 50for: 5mlabels:severity: warningannotations:summary: "异常磁盘读取,实例:{{ $labels.instance }}"description: "磁盘读取> 50 MB/s，当前值：{{ $value }}"- alert: HostUnusualDiskWriteRateexpr: sum by (instance) (rate(node_disk_written_bytes_total[2m])) / 1024 / 1024 > 50for: 2mlabels:severity: warningannotations:summary: "异常磁盘写入,实例:{{ $labels.instance }}"description: "磁盘写入> 50 MB/s，当前值：{{ $value }}"- alert: HostOutOfDiskSpaceexpr: (node_filesystem_avail_bytes * 100) / node_filesystem_size_bytes < 10 and ON (instance, device, mountpoint) node_filesystem_readonly == 0for: 2mlabels:severity: warningannotations:summary: "磁盘空间不足告警,实例:{{ $labels.instance }}"description: "剩余磁盘空间< 10% ，当前值：{{ $value }}"- alert: HostDiskWillFillIn24Hoursexpr: (node_filesystem_avail_bytes * 100) / node_filesystem_size_bytes < 10 and ON (instance, device, mountpoint) predict_linear(node_filesystem_avail_bytes{fstype!~"tmpfs"}[1h], 24 * 3600) < 0 and ON (instance, device, mountpoint) node_filesystem_readonly == 0for: 2mlabels:severity: warningannotations:summary: "磁盘空间将在24小时内耗尽,实例:{{ $labels.instance }}"description: "以当前写入速率预计磁盘空间将在 24 小时内耗尽，当前值：{{ $value }}"- alert: HostOutOfInodesexpr: node_filesystem_files_free{mountpoint ="/"} / node_filesystem_files{mountpoint="/"} * 100 < 10 and ON (instance, device, mountpoint) node_filesystem_readonly{mountpoint="/"} == 0for: 2mlabels:severity: warningannotations:summary: "磁盘Inodes不足,实例:{{ $labels.instance }}"description: "剩余磁盘 inodes < 10%，当前值： {{ $value }}"- alert: HostUnusualDiskReadLatencyexpr: rate(node_disk_read_time_seconds_total[1m]) / rate(node_disk_reads_completed_total[1m]) > 0.1 and rate(node_disk_reads_completed_total[1m]) > 0for: 2mlabels:severity: warningannotations:summary: "异常磁盘读取延迟,实例:{{ $labels.instance }}"description: "磁盘读取延迟 > 100ms，当前值：{{ $value }}"- alert: HostUnusualDiskWriteLatencyexpr: rate(node_disk_write_time_seconds_total[1m]) / rate(node_disk_writes_completed_total[1m]) > 0.1 and rate(node_disk_writes_completed_total[1m]) > 0for: 2mlabels:severity: warningannotations:summary: "异常磁盘写入延迟,实例:{{ $labels.instance }}"description: "磁盘写入延迟 > 100ms，当前值：{{ $value }}"- alert: high_loadexpr: node_load1 > 4for: 2mlabels:severity: pageannotations:summary: "CPU1分钟负载过高,实例:{{ $labels.instance }}"description: "CPU1分钟负载>4，已经持续2分钟。当前值为：{{ $value }}"- alert: HostCpuIsUnderUtilizedexpr: 100 - (avg by(instance) (rate(node_cpu_seconds_total{mode="idle"}[2m])) * 100) > 80for: 1mlabels:severity: warningannotations:summary: "cpu负载高,实例:{{ $labels.instance }}"description: "cpu负载> 80%，当前值：{{ $value }}"- alert: HostCpuStealNoisyNeighborexpr: avg by(instance) (rate(node_cpu_seconds_total{mode="steal"}[5m])) * 100 > 10for: 0mlabels:severity: warningannotations:summary: "CPU窃取率异常,实例:{{ $labels.instance }}"description: "CPU 窃取率 > 10%。 嘈杂的邻居正在扼杀 VM 性能，或者 Spot 实例可能失去信用，当前值：{{ $value }}"- alert: HostSwapIsFillingUpexpr: (1 - (node_memory_SwapFree_bytes / node_memory_SwapTotal_bytes)) * 100 > 80for: 2mlabels:severity: warningannotations:summary: "磁盘swap空间使用率异常,实例:{{ $labels.instance }}"description: "磁盘swap空间使用率>80%"- alert: HostNetworkReceiveErrorsexpr: rate(node_network_receive_errs_total[2m]) / rate(node_network_receive_packets_total[2m]) > 0.01for: 2mlabels:severity: warningannotations:summary: "异常网络接收错误,实例:{{ $labels.instance }}"description: "网卡{{ $labels.device }}在过去2分钟接收错误率大于0.01，当前值:{{ $value }}"- alert: HostNetworkTransmitErrorsexpr: rate(node_network_transmit_errs_total[2m]) / rate(node_network_transmit_packets_total[2m]) > 0.01for: 2mlabels:severity: warningannotations:summary: "异常网络传输错误,实例:{{ $labels.instance }}"description: "网卡{{ $labels.device }}在过去2分钟传输错误率大于0.01，当前值:{{ $value }}"- alert: HostNetworkInterfaceSaturatedexpr: (rate(node_network_receive_bytes_total{device!~"^tap.*"}[1m]) + rate(node_network_transmit_bytes_total{device!~"^tap.*"}[1m])) / node_network_speed_bytes{device!~"^tap.*"} > 0.8 < 10000for: 1mlabels:severity: warningannotations:summary: "异常网络接口饱和,实例:{{ $labels.instance }}"description: "网卡{{ $labels.device }}正在超载，当前值{{ $value }}"- alert: HostConntrackLimitexpr: node_nf_conntrack_entries / node_nf_conntrack_entries_limit > 0.8for: 5mlabels:severity: warningannotations:summary: "异常连接数,实例:{{ $labels.instance }}"description: "连接数过大，当前连接数：{{ $value }}"- alert: HostClockSkewexpr: (node_timex_offset_seconds > 0.05 and deriv(node_timex_offset_seconds[5m]) >= 0) or (node_timex_offset_seconds < -0.05 and deriv(node_timex_offset_seconds[5m]) <= 0)for: 2mlabels:severity: warningannotations:summary: "异常时钟偏差,实例:{{ $labels.instance }}"description: "检测到时钟偏差，时钟不同步。值为：{{ $value }}"- alert: HostClockNotSynchronisingexpr: min_over_time(node_timex_sync_status[1m]) == 0 and node_timex_maxerror_seconds >= 16for: 2mlabels:severity: warningannotations:summary: "时钟不同步,实例:{{ $labels.instance }}"description: "时钟不同步"- alert: NodeFileDescriptorLimitexpr: node_filefd_allocated / node_filefd_maximum * 100 > 80for: 1mlabels:severity: warningannotations:summary: "预计内核将很快耗尽文件描述符限制"description: "{{ $labels.instance }}｝已分配的文件描述符数超过了限制的80%，当前值为：{{ $value }}"

配置alertmanage的全局报警配置信息.

[root@node1-prome /zpf/k8s/prometheus/docker-prometheus/alertmanager]$cat config.yml
global:#163服务器smtp_smarthost: 'smtp.qq.com:465'#发邮件的邮箱smtp_from: 'xxxx@qq.com'#发邮件的邮箱用户名，也就是你的邮箱smtp_auth_username: 'xxxx@qq.com'#发邮件的邮箱密码(注意一下这里并不是你qq账号的密码,而是邮箱生产的一个第三方登陆的密码.一般来说可能是十几位的组合形式.具体方法自行查找相关文档smtp_auth_password: 'asdalsdjlk'#进行tls验证smtp_require_tls: falseroute:group_by: ['warn']# 当收到告警的时候，等待group_wait配置的时间，看是否还有告警，如果有就一起发出去group_wait: 10s#  如果上次告警信息发送成功，此时又来了一个新的告警数据，则需要等待group_interval配置的时间才可以发送出去group_interval: 10s# 如果上次告警信息发送成功，且问题没有解决，则等待 repeat_interval配置的时间再次发送告警数据repeat_interval: 10m# 全局报警组，这个参数是必选的,意思就是上面是发件人以及告警服务器相关信息,下面是接收人相关信息.receiver: emailreceivers:
- name: 'email'  #报警组名称#收邮件的邮箱email_configs:- to: 'xxxxxx@163.com'  #收件邮箱
inhibit_rules:- source_match:  #表示抑制规则的定义.原匹配条件.severity: 'critical'  #事件级别是紧急target_match: #severity: 'warning' #事件严重性equal: ['alertname', 'dev', 'instance']  #匹配规则.
当告警的源匹配条件中的严重性级别为'critical'，并且目标匹配条件中的严重性级别为'warning'，同时源匹配条件和目标匹配条件的标签值都相等时，该告警将被抑制.不是太明白为啥会有两个级别.得再研究研究.

重启alertmanager加载配置信息(一般我会重启服务来让配置重新加载.)

等待告警邮件发送,

查看告警信息