[Prometheus] - CentOS에서 모니터링 & Pushgateway & AlertManager 구축 해보기!(실습)

2024.02.12 - [Data Engineering/Observability] - [Prometheus] - CentOS에서 모니터링 & Pushgateway & AlertManager 구축 해보기!(이론)

[Prometheus] - CentOS에서 모니터링 & Pushgateway & AlertManager 구축 해보기!(이론)

 

위의 이론내용을 바탕으로

아래와 같은 구조로 프로젝트를 진행해보았다.

CentOS VM Server 3대로 구성

• Node exporter
  • server 1: http://192.168.0.151:9100/
  • server 2: http://192.168.0.152:9100/
  • server 3: http://192.168.0.153:9100/
• Prometheus
  • server 3: http://192.168.0.153:9090/graph
• Grafana
  • server 3: http://192.168.0.153:3000/
  • 로그인 필요할 경우 admin/admin
  • 비밀번호 변경 창에서는 왼쪽 아래 skip
• Pushgateway
  • server 2: http://192.168.0.152:9091/

---

Prometheus

1. prometheus 설치

wget <https://github.com/prometheus/prometheus/releases/download/v2.21.0/prometheus-2.21.0.linux-amd64.tar.gz>
tar -xzvf prometheus-2.21.0.linux-amd64.tar.gz
mv prometheus-2.21.0.linux-amd64 prometheus
cd prometheus/

2. 방화벽 설정

9090 포트 열기

firewall-cmd --add-port=9090/tcp --permanent --zone=public
firewall-cmd --reload
firewall-cmd --list-all

3. 웹페이지 뜨는 지 확인

http://192.168.56.103:9090

4. 시스템 등록

 vi /etc/systemd/system/prometheus.service

[Unit]
Description=Prometheus Server
Documentation=https://prometheus.io/docs/introduction/overview/
Wants=network-online.target
After=network-online.target

[Service]
User=root

Restart=on-failure
ExecStart=/root/prometheus/prometheus \\
  --config.file=/root/prometheus/prometheus.yml \\
  --storage.tsdb.path=/root/prometheus/data \\
  --storage.tsdb.retention=30d \\
  --web.console.templates=/root/prometheus/consoles \\
  --web.console.libraries=/root/prometheus/console_libraries \\
  --web.enable-admin-api

[Install]
WantedBy=multi-user.target

prometheus 설치한 유저(User)와 그룹(Group)으로 위에서 변경한다.
설치한 파일들의 PATH도 변경한다.

storage tsdb 설정에서 저장 위치와 30일까지 저장을 설정하였다.
Web console은 이후 해당 폴더에서 웹 페이지를 구성할 수 있다. 현재 시나리오에서는 제거해도 된다.

systemctl daemon-reload
systemctl start prometheus.service
systemctl enable prometheus.service
systemctl status prometheus.service

Node exporter

메트릭을 수집하고 싶은 노드(컴퓨터)에 설치한다.

prometheus 설치한 노드에서도 가능하다.

1. 설치

wget https://github.com/prometheus/node_exporter/releases/download/v1.0.1/node_exporter-1.0.1.linux-amd64.tar.gz
tar -xzvf node_exporter-1.0.1.linux-amd64.tar.gz
mv node_exporter-1.0.1.linux-amd64/ node_exporter

 

2. 방화벽 설정

9100포트 열기

firewall-cmd --add-port=9100/tcp --permanent --zone=public
firewall-cmd --reload
firewall-cmd --list-all

3. 웹으로 확인

ip:9100으로 접속

http://localhost:9100/metrics

metric 눌러 확인

 

 

4. 시스템 등록

systemctl

sudo vi /etc/systemd/system/node_exporter.service

[Unit]
Description=Prometheus Node Exporter
Documentation=https://prometheus.io/docs/guides/node-exporter/
Wants=network-online.target
After=network-online.target

[Service]
User=root
Restart=on-failure
ExecStart=/root/node_exporter/node_exporter

[Install]
WantedBy=multi-user.target

systemctl daemon-reload
systemctl start node_exporter
systemctl status node_exporter
systemctl enable node_exporter

 

Prometheus와 Node exporter 연동

1. Prometheus 설정

vi /root/prometheus/prometheus.yml

밑에 job 추가

node라는 이름으로 job을 추가하였다.(이후 grafana에서 template을 쓰려면 node로 job name을 줘야한다.)

그리고 node exporter를 설치한 노드들의 ip와 포트를 제공한다.

# 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:
    - targets: ['localhost:9090']

  - job_name: 'node'
    static_configs:
    - targets: ['192.168.0.151:9100','192.168.0.152:9100','192.168.0.153:9100']

2. 시스템 재시작

systemctl restart prometheus
systemctl status prometheus

3. Prometheus에서 메트리 수집 되는지 확인

proemtheusIP:9090 으로 웹에서 확인

Grafana

1. 설치

다른 서버도 가능하지만 아래에서는 prometheus 설치한 서버에서 진행

yum install -y <https://dl.grafana.com/oss/release/grafana-9.1.1-1.x86_64.rpm>

2. 방화벽 설정

방화벽 3000포트 열기

firewall-cmd --permanent --zone=public --add-port=3000/tcp
firewall-cmd --reload

3. 시스템 등록

systemctl daemon-reload
systemctl start grafana-server
systemctl status grafana-server
systemctl enable grafana-server

http://ip:3000

들어가서

admin admin 으로 로그인

4. Grafana에서 Prometheus 등록

Configure > Data sources 에서 prometheus 등록

URL : http://localhost:9090

5. 대시보드 설정

직접 dashboard create에서 PromQL을 작성하여 구성 가능

템플릿을 가져와 사용할 수도 있다.

https://grafana.com/grafana/dashboards/1860-node-exporter-full/

위에서 json 파일이나 ID 가져와서

대시보드 > create > import 추가

(Host에 ip는 보이지만 값이 안 보인다면 조금 기다리면 보일 수도 있다.)

Pushgateway 추가

1. pushgateway 설치

참고 링크 : https://prometheus.io/download/#pushgateway

wget <https://github.com/prometheus/pushgateway/releases/download/v1.7.0/pushgateway-1.7.0.linux-amd64.tar.gz>

압축 해제

tar xvzf pushgateway-1.7.0.linux-amd64.tar.gz
mv pushgateway-1.7.0.linux-amd64 pushgateway

2. 시스템 등록

vi /etc/systemd/system/pushgateway.service

[Unit]
Description=Pushgateway
Wants=network-online.target
After=network-online.target

[Service]
User=root
Type=simple
ExecStart=/root/pushgateway/pushgateway

[Install]
WantedBy=multi-user.target

• ExecStart - pushgateway 실행파일 절대경로

systemctl daemon-reload
systemctl enable pushgateway
systemctl start pushgateway
systemctl status pushgateway

3. prometheus에 pushgateway 연결

다시 Prometheus 설치했던 서버로 돌아온다.

vi /root/prometheus/prometheus.yml

scrape_configs > job_name이 pushgateway 등록

# my global config
global:
  scrape_interval: 5s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
  evaluation_interval: 5s # 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:
    - targets: ['192.168.0.153:9090']

  - job_name: 'node'
    static_configs:
    - targets: ['192.168.0.151:9100','192.168.0.152:9100','192.168.0.153:9100']

  - job_name: 'pushgateway'
    honor_labels: true
    static_configs:
    - targets: ['192.168.0.152:9091']

4. 재시작

systemctl restart prometheus pushgateway
systemctl status prometheus pushgateway

Alert Manager 추가

1. alert manager 설치

참고 링크 : https://prometheus.io/download/#alertmanager

wget <https://github.com/prometheus/alertmanager/releases/download/v0.26.0/alertmanager-0.26.0.linux-amd64.tar.gz>

압축 해제

tar xvzf alertmanager-0.26.0.linux-amd64.tar.gz
mkdir /etc/alertmanager
cp /root/alertmanager-0.26.0.linux-amd64/* /etc/alertmanager/
rm -rf /root/alertmanager-0.26.0.linux-amd64

2. 시스템 등록

vi /usr/lib/systemd/system/alertmanager.service

[Unit]
Description=Alert Manager
Wants=network-online.target
After=network-online.target

[Service]
User=root
Group=root
Type=simple
ExecStart=/etc/alertmanager/alertmanager --config.file=/etc/alertmanager/alertmanager.yml

[Install]
WantedBy=multi-user.target

systemctl daemon-reload
systemctl enable alertmanager
systemctl start alertmanager

3. slack api url 구하기

Slack에 들어가서 새 워크스페이스 생성

https://slack.com/intl/ko-kr/

워크스페이스 안 채널을 생성했다면, 채널 위에서 우클릭 후 채널 세부정보 보기 클릭

통합 > 앱추가

webhook 검색하고 앱 설치

Slack에 추가 누르고 채널 지정

이때 클릭했을 때 안뜬다면, 직접 검색

수신 웹후크 통합 앱 추가 > 저장 누른 후 URL 복사

아래 설정에 추가

4. alert manager 설정

vi /etc/alertmanager/alertmanager.yml

global:
  slack_api_url: "<https://hooks.slack.com/services/XXX>"

route:
  group_by: ['node_exporter_alerts'] 
  receiver: 'slack-notifications'
  repeat_interval: 2m
receivers:
  - name: 'slack-notifications'
    slack_configs:
      - channel: '#monitoring'
        send_resolved: true
        username: "Prometheus"
        title: "{{ range .Alerts }}{{ .Annotations.summary }}\\n{{ end }}"
        text: "{{ range .Alerts }}{{ .Annotations.description }}\\n{{ end }}"

• slack_api_url → 이 부분은 위에서 구한 url로 수정
• channel → 자신의 채널 명 입력, 앞에 # 붙이기
• 여기서 넣은 title과 text 내용을 slack 알람이 온다.

5. 시스템 재시작

systemctl restart alertmanager
systemctl status alertmanager

6. Prometheus 설정 파일 수정

vi /root/prometheus/prometheus.yml

 

alerting과 rule_files에 추가

# my global config
global:
  scrape_interval: 5s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
  evaluation_interval: 5s # Evaluate rules every 15 seconds. The default is every 1 minute.
  # scrape_timeout is set to the global default (10s).

# Alertmanager configuration
alerting:
  alertmanagers:
  - scheme: http
    static_configs:
    - targets:
      - '192.168.0.153:9093'

# Load rules once and periodically evaluate them according to the global 'evaluation_interval'.
rule_files:
  - '/root/prometheus/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:
    - targets: ['192.168.0.153:9090']

  - job_name: 'node'
    static_configs:
    - targets: ['192.168.0.151:9100','192.168.0.152:9100','192.168.0.153:9100']

  - job_name: 'pushgateway'
    honor_labels: true
    static_configs:
    - targets: ['192.168.0.152:9091']

7. alerting rule 작성

vi /root/prometheus/rules.yml

groups:
- name: node_exporter_alerts
  rules:
  - alert: Node down
    expr: up{job="monitoring-pi"} == 0
    for: 1m
    labels:
      severity: warning
    annotations:
      title: Node {{ $labels.instance }} is down
      description: Failed to scrape {{ $labels.job }} on {{ $labels.instance }} for more than 2 minutes. Node seems down.

  - alert: HostOutOfMemory
    expr: node_memory_MemAvailable_bytes / node_memory_MemTotal_bytes * 100 < 10
    for: 2m
    labels:
      severity: warning
    annotations:
      summary: Host out of memory (instance {{ $labels.instance }})
      description: Node memory is filling up (< 10% left)\n  VALUE = {{ $value }}

  - alert: HostMemoryUnderMemoryPressure
    expr: rate(node_vmstat_pgmajfault[1m]) > 1000
    for: 2m
    labels:
      severity: warning
    annotations:
      summary: Host memory under memory pressure (instance {{ $labels.instance }})
      description: The node is under heavy memory pressure. High rate of major page faults\n  VALUE = {{ $value }}

  - alert: HostUnusualNetworkThroughputIn
    expr: sum by (instance) (rate(node_network_receive_bytes_total[2m])) / 1024 / 1024 > 100
    for: 5m
    labels:
      severity: warning
    annotations:
      summary: Host unusual network throughput in (instance {{ $labels.instance }})
      description: Host network interfaces are probably receiving too much data (> 100 MB/s)\n  VALUE = {{ $value }}

  - alert: HostUnusualNetworkThroughputOut
    expr: sum by (instance) (rate(node_network_transmit_bytes_total[2m])) / 1024 / 1024 > 100
    for: 5m
    labels:
      severity: warning
    annotations:
      summary: Host unusual network throughput out (instance {{ $labels.instance }})
      description: Host network interfaces are probably sending too much data (> 100 MB/s)\n  VALUE = {{ $value }}

  - alert: HostUnusualDiskReadRate
    expr: sum by (instance) (rate(node_disk_read_bytes_total[2m])) / 1024 / 1024 > 50
    for: 5m
    labels:
      severity: warning
    annotations:
      summary: Host unusual disk read rate (instance {{ $labels.instance }})
      description: Disk is probably reading too much data (> 50 MB/s)\n  VALUE = {{ $value }}

  - alert: HostUnusualDiskWriteRate
    expr: sum by (instance) (rate(node_disk_written_bytes_total[2m])) / 1024 / 1024 > 50
    for: 2m
    labels:
      severity: warning
    annotations:
      summary: Host unusual disk write rate (instance {{ $labels.instance }})
      description: Disk is probably writing too much data (> 50 MB/s)\n  VALUE = {{ $value }}

  # Please add ignored mountpoints in node_exporter parameters like
  # "--collector.filesystem.ignored-mount-points=^/(sys|proc|dev|run)($|/)".
  # Same rule using "node_filesystem_free_bytes" will fire when disk fills for non-root users.
  - alert: HostOutOfDiskSpace
    expr: (node_filesystem_avail_bytes * 100) / node_filesystem_size_bytes < 10 and ON (instance, device, mountpoint) node_filesystem_readonly == 0
    for: 2m
    labels:
      severity: warning
    annotations:
      summary: Host out of disk space (instance {{ $labels.instance }})
      description: Disk is almost full (< 10% left)\n  VALUE = {{ $value }}

  # Please add ignored mountpoints in node_exporter parameters like
  # "--collector.filesystem.ignored-mount-points=^/(sys|proc|dev|run)($|/)".
  # Same rule using "node_filesystem_free_bytes" will fire when disk fills for non-root users.
  - alert: HostDiskWillFillIn24Hours
    expr: (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 == 0
    for: 2m
    labels:
      severity: warning
    annotations:
      summary: Host disk will fill in 24 hours (instance {{ $labels.instance }})
      description: Filesystem is predicted to run out of space within the next 24 hours at current write rate\n  VALUE = {{ $value }}

  - alert: HostOutOfInodes
    expr: node_filesystem_files_free{mountpoint ="/rootfs"} / node_filesystem_files{mountpoint="/rootfs"} * 100 < 10 and ON (instance, device, mountpoint) node_filesystem_readonly{mountpoint="/rootfs"} == 0
    for: 2m
    labels:
      severity: warning
    annotations:
      summary: Host out of inodes (instance {{ $labels.instance }})
      description: Disk is almost running out of available inodes (< 10% left)\n  VALUE = {{ $value }}

  - alert: HostInodesWillFillIn24Hours
    expr: node_filesystem_files_free{mountpoint ="/rootfs"} / node_filesystem_files{mountpoint="/rootfs"} * 100 < 10 and predict_linear(node_filesystem_files_free{mountpoint="/rootfs"}[1h], 24 * 3600) < 0 and ON (instance, device, mountpoint) node_filesystem_readonly{mountpoint="/rootfs"} == 0
    for: 2m
    labels:
      severity: warning
    annotations:
      summary: Host inodes will fill in 24 hours (instance {{ $labels.instance }})
      description: Filesystem is predicted to run out of inodes within the next 24 hours at current write rate\n  VALUE = {{ $value }}

  - alert: HostUnusualDiskReadLatency
    expr: 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]) > 0
    for: 2m
    labels:
      severity: warning
    annotations:
      summary: Host unusual disk read latency (instance {{ $labels.instance }})
      description: Disk latency is growing (read operations > 100ms)\n  VALUE = {{ $value }}

  - alert: HostUnusualDiskWriteLatency
    expr: rate(node_disk_write_time_seconds_totali{device!~"mmcblk.+"}[1m]) / rate(node_disk_writes_completed_total{device!~"mmcblk.+"}[1m]) > 0.1 and rate(node_disk_writes_completed_total{device!~"mmcblk.+"}[1m]) > 0
    for: 2m
    labels:
      severity: warning
    annotations:
      summary: Host unusual disk write latency (instance {{ $labels.instance }})
      description: Disk latency is growing (write operations > 100ms)\n  VALUE = {{ $value }}

  - alert: HostHighCpuLoad
    expr: 100 - (avg by(instance) (rate(node_cpu_seconds_total{mode="idle"}[2m])) * 100) > 80
    for: 0m
    labels:
      severity: warning
    annotations:
      summary: Host high CPU load (instance {{ $labels.instance }})
      description: CPU load is > 80%\n  VALUE = {{ $value }}

  - alert: HostCpuStealNoisyNeighbor
    expr: avg by(instance) (rate(node_cpu_seconds_total{mode="steal"}[5m])) * 100 > 10
    for: 0m
    labels:
      severity: warning
    annotations:
      summary: Host CPU steal noisy neighbor (instance {{ $labels.instance }})
      description: CPU steal is > 10%. A noisy neighbor is killing VM performances or a spot instance may be out of credit.\n  VALUE = {{ $value }}

  # 1000 context switches is an arbitrary number.
  # Alert threshold depends on nature of application.
  # Please read: https://github.com/samber/awesome-prometheus-alerts/issues/58
  - alert: HostContextSwitching
    expr: (rate(node_context_switches_total[5m])) / (count without(cpu, mode) (node_cpu_seconds_total{mode="idle"})) > 1000
    for: 0m
    labels:
      severity: warning
    annotations:
      summary: Host context switching (instance {{ $labels.instance }})
      description: Context switching is growing on node (> 1000 / s)\n  VALUE = {{ $value }}

  - alert: HostSwapIsFillingUp
    expr: (1 - (node_memory_SwapFree_bytes / node_memory_SwapTotal_bytes)) * 100 > 80
    for: 2m
    labels:
      severity: warning
    annotations:
      summary: Host swap is filling up (instance {{ $labels.instance }})
      description: Swap is filling up (>80%)\n  VALUE = {{ $value }}

  - alert: HostSystemdServiceCrashed
    expr: node_systemd_unit_state{state="failed"} == 1
    for: 0m
    labels:
      severity: warning
    annotations:
      summary: Host SystemD service crashed (instance {{ $labels.instance }})
      description: SystemD service crashed\n  VALUE = {{ $value }}

  - alert: HostPhysicalComponentTooHot
    expr: node_hwmon_temp_celsius > 75
    for: 5m
    labels:
      severity: warning
    annotations:
      summary: Host physical component too hot (instance {{ $labels.instance }})
      description: Physical hardware component too hot\n  VALUE = {{ $value }}

  - alert: HostNodeOvertemperatureAlarm
    expr: node_hwmon_temp_crit_alarm_celsius == 1
    for: 0m
    labels:
      severity: critical
    annotations:
      summary: Host node overtemperature alarm (instance {{ $labels.instance }})
      description: Physical node temperature alarm triggered\n  VALUE = {{ $value }}

  - alert: HostRaidArrayGotInactive
    expr: node_md_state{state="inactive"} > 0
    for: 0m
    labels:
      severity: critical
    annotations:
      summary: Host RAID array got inactive (instance {{ $labels.instance }})
      description: RAID array {{ $labels.device }} is in degraded state due to one or more disks failures. Number of spare drives is insufficient to fix issue automatically.\n  VALUE = {{ $value }}

  - alert: HostRaidDiskFailure
    expr: node_md_disks{state="failed"} > 0
    for: 2m
    labels:
      severity: warning
    annotations:
      summary: Host RAID disk failure (instance {{ $labels.instance }})
      description: At least one device in RAID array on {{ $labels.instance }} failed. Array {{ $labels.md_device }} needs attention and possibly a disk swap\n  VALUE = {{ $value }}

  - alert: HostKernelVersionDeviations
    expr: count(sum(label_replace(node_uname_info, "kernel", "$1", "release", "([0-9]+.[0-9]+.[0-9]+).*")) by (kernel)) > 1
    for: 6h
    labels:
      severity: warning
    annotations:
      summary: Host kernel version deviations (instance {{ $labels.instance }})
      description: Different kernel versions are running\n  VALUE = {{ $value }}

  - alert: HostOomKillDetected
    expr: increase(node_vmstat_oom_kill[1m]) > 0
    for: 0m
    labels:
      severity: warning
    annotations:
      summary: Host OOM kill detected (instance {{ $labels.instance }})
      description: OOM kill detected\n  VALUE = {{ $value }}

  - alert: HostEdacCorrectableErrorsDetected
    expr: increase(node_edac_correctable_errors_total[1m]) > 0
    for: 0m
    labels:
      severity: info
    annotations:
      summary: Host EDAC Correctable Errors detected (instance {{ $labels.instance }})
      description: Instance has had {{ printf "%.0f" $value }} correctable memory errors reported by EDAC in the last 5 minutes.\n  VALUE = {{ $value }}

  - alert: HostEdacUncorrectableErrorsDetected
    expr: node_edac_uncorrectable_errors_total > 0
    for: 0m
    labels:
      severity: warning
    annotations:
      summary: Host EDAC Uncorrectable Errors detected (instance {{ $labels.instance }})
      description: Instance has had {{ printf "%.0f" $value }} uncorrectable memory errors reported by EDAC in the last 5 minutes.\n  VALUE = {{ $value }}

  - alert: HostNetworkReceiveErrors
    expr: rate(node_network_receive_errs_total[2m]) / rate(node_network_receive_packets_total[2m]) > 0.01
    for: 2m
    labels:
      severity: warning
    annotations:
      summary: Host Network Receive Errors (instance {{ $labels.instance }}:{{ $labels.device }})
      description: Instance interface has encountered {{ printf "%.0f" $value }} receive errors in the last five minutes.\n  VALUE = {{ $value }}

  - alert: HostNetworkTransmitErrors
    expr: rate(node_network_transmit_errs_total[2m]) / rate(node_network_transmit_packets_total[2m]) > 0.01
    for: 2m
    labels:
      severity: warning
    annotations:
      summary: Host Network Transmit Errors (instance {{ $labels.instance }}:{{ $labels.device }})
      description: Instance has encountered {{ printf "%.0f" $value }} transmit errors in the last five minutes.\n  VALUE = {{ $value }}

  - alert: HostNetworkInterfaceSaturated
    expr: (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
    for: 1m
    labels:
      severity: warning
    annotations:
      summary: Host Network Interface Saturated (instance {{ $labels.instance }}:{{ $labels.interface }})
      description: The network interface is getting overloaded.\n  VALUE = {{ $value }}

  - alert: HostConntrackLimit
    expr: node_nf_conntrack_entries / node_nf_conntrack_entries_limit > 0.8
    for: 5m
    labels:
      severity: warning
    annotations:
      summary: Host conntrack limit (instance {{ $labels.instance }})
      description: The number of conntrack is approching limit\n  VALUE = {{ $value }}

  - alert: HostClockSkew
    expr: (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: 2m
    labels:
      severity: warning
    annotations:
      summary: Host clock skew (instance {{ $labels.instance }})
      description: Clock skew detected. Clock is out of sync.\n  VALUE = {{ $value }}

 

8. 재시작

systemctl restart prometheus alertmanager
systemctl status prometheus alertmanager

9. 방화벽 해제

firewall-cmd --permanent --zone=public --add-port=9093/tcp
firewall-cmd --reload

10. Alertmanager 웹 페이지에서 확인

http://alertmanagerIP:9093

 

이후 포스팅에서 위에서 구축한 프로젝트에 대한 추가적인 설명과 테스트 해볼 예정이다.