docker-compose-monitor.yml
|
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
|
version: '2'networks: monitor: driver: bridgeservices: influxdb: image: influxdb:latest container_name: tig-influxdb ports: - "18083:8083" - "18086:8086" - "18090:8090" env_file: - 'env.influxdb' volumes: # Data persistency # sudo mkdir -p ./influxdb/data - ./influxdb/data:/var/lib/influxdb # 配置docker里的时间为东八区时间 - ./timezone:/etc/timezone:ro - ./localtime:/etc/localtime:ro restart: unless-stopped #停止后自动 telegraf: image: telegraf:latest container_name: tig-telegraf links: - influxdb volumes: - ./telegraf.conf:/etc/telegraf/telegraf.conf:ro - ./timezone:/etc/timezone:ro - ./localtime:/etc/localtime:ro restart: unless-stopped prometheus: image: prom/prometheus container_name: prometheus hostname: prometheus restart: always volumes: - /home/qa/docker/grafana/prometheus.yml:/etc/prometheus/prometheus.yml - /home/qa/docker/grafana/node_down.yml:/etc/prometheus/node_down.yml ports: - '9090:9090' networks: - monitor alertmanager: image: prom/alertmanager container_name: alertmanager hostname: alertmanager restart: always volumes: - /home/qa/docker/grafana/alertmanager.yml:/etc/alertmanager/alertmanager.yml ports: - '9093:9093' networks: - monitor grafana: image: grafana/grafana:6.7.4 container_name: grafana hostname: grafana restart: always ports: - '13000:3000' networks: - monitor node-exporter: image: quay.io/prometheus/node-exporter container_name: node-exporter hostname: node-exporter restart: always ports: - '9100:9100' networks: - monitor cadvisor: image: google/cadvisor:latest container_name: cadvisor hostname: cadvisor restart: always volumes: - /:/rootfs:ro - /var/run:/var/run:rw - /sys:/sys:ro - /var/lib/docker/:/var/lib/docker:ro ports: - '18080:8080' networks: - monitor |
alertmanager.yml
|
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
|
global: resolve_timeout: 5m smtp_from: '邮箱' smtp_smarthost: 'smtp.exmail.qq.com:25' smtp_auth_username: '邮箱' smtp_auth_password: '密码' smtp_require_tls: false smtp_hello: 'qq.com'route: group_by: ['alertname'] group_wait: 5s group_interval: 5s repeat_interval: 5m receiver: 'email'receivers:- name: 'email' email_configs: - to: '收件邮箱' send_resolved: trueinhibit_rules: - source_match: severity: 'critical' target_match: severity: 'warning' equal: ['alertname', 'dev', 'instance'] |
prometheus.yml
|
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
|
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 configurationalerting: alertmanagers: - static_configs: - targets: ['192.168.32.117:9093'] # - alertmanager:9093# Load rules once and periodically evaluate them according to the global 'evaluation_interval'.rule_files: - "node_down.yml" # - "node-exporter-alert-rules.yml" # - "first_rules.yml" # - "second_rules.yml"# A scrape configuration containing exactly one endpoint to scrape:# Here it's Prometheus itself.scrape_configs: # IO存储节点组 - job_name: 'io' scrape_interval: 8s static_configs: #端口为node-exporter启动的端口 - targets: ['192.168.32.117:9100'] - targets: ['192.168.32.196:9100'] - targets: ['192.168.32.136:9100'] - targets: ['192.168.32.193:9100'] - targets: ['192.168.32.153:9100'] - targets: ['192.168.32.185:9100'] - targets: ['192.168.32.190:19100'] - targets: ['192.168.32.192:9100'] # The job name is added as a label `job=<job_name>` to any timeseries scraped from this config. - job_name: 'cadvisor' static_configs: #端口为cadvisor启动的端口 - targets: ['192.168.32.117:18080'] - targets: ['192.168.32.193:8080'] - targets: ['192.168.32.153:8080'] - targets: ['192.168.32.185:8080'] - targets: ['192.168.32.190:18080'] - targets: ['192.168.32.192:18080'] |
node_down.yml
|
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
|
groups: - name: node_down rules: - alert: InstanceDown expr: up == 0 for: 1m labels: user: test annotations: summary: 'Instance {{ $labels.instance }} down' description: '{{ $labels.instance }} of job {{ $labels.job }} has been down for more than 1 minutes.' #剩余内存小于10% - alert: 剩余内存小于10% 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 }}\n LABELS = {{ $labels }}" #剩余磁盘小于10% - alert: 剩余磁盘小于10% 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 }}\n LABELS = {{ $labels }}" #cpu负载 > 80% - alert: CPU负载 > 80% 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 }}\n LABELS = {{ $labels }}" |
告警：https://awesome-prometheus-alerts.grep.to/rules#prometheus-self-monitoring
官网仪表盘：https://grafana.com/grafana/dashboards/
到此这篇关于docker部署grafana+prometheus配置的文章就介绍到这了,更多相关docker部署grafana+prometheus内容请搜索服务器之家以前的文章或继续浏览下面的相关文章希望大家以后多多支持服务器之家！
原文链接：https://www.cnblogs.com/runzhao/p/15716274.html
