大數據監控體系構建
基於開源xxx_exporter+promethues+grafana的構建監控系統
1.概況
其中,exporter一般是使用來採集各種組件運行時的指標數據;
promethues構建指標時序數據庫;
grafana構建指標顯示面板;
目前已有各種docker容器方便的構建各種監控體系;
2.詳細構建過程
其中我的promethues的配置如下:
#全局配置信息:
global:
scrape_interval: 15s #默認抓取間隔1m, 15秒向目標抓取一次數據
evaluation_interval: 15s
#個性化的抓取配置信息
scrape_configs:
- job_name: prometheus
static_configs:
- targets: ['192.168.32.70:9090']
labels:
instance: 192.168.32.70
#監控物理主機:cpu、memory、disk等
- job_name: node_exporter
static_configs:
- targets:
- '192.168.32.62:9100'
- '192.168.32.63:9100'
- '192.168.32.64:9100'
- '192.168.32.65:9100'
- '192.168.32.66:9100'
- '192.168.32.67:9100'
- '192.168.32.68:9100'
- '192.168.32.69:9100'
- '192.168.32.70:9100'
- '192.168.32.71:9100'
- '192.168.32.72:9100'
- '192.168.32.73:9100'
- '192.168.32.101:9100'
- '192.168.32.106:9100'
- '192.168.32.111:9100'
- '192.168.32.116:9100'
- '192.168.32.121:9100'
- '192.168.32.126:9100'
- '192.168.32.141:9100'
- '192.168.32.146:9100'
# - job_name: 'redis'
# static_configs:
# - targets: ['192.168.32.70:9121']
# labels:
# instance: redis-poc
- job_name: 'mongo'
static_configs:
- targets: ['192.168.32.70:9104']
labels:
instance: mongo3
- job_name: 'postgres'
static_configs:
- targets: ['192.168.32.70:9187']
labels:
instance: 'node70'
platform: 'dcos-node70'
- job_name: 'kafka'
static_configs:
- targets: ['192.168.32.70:9308']
labels:
instance: kafka-67
- job_name: 'redis_exporter_poc'
static_configs:
- targets:
- redis://192.168.32.141:16055
- redis://192.168.32.68:16052
- redis://192.168.32.68:16053
metrics_path: /scrape
relabel_configs:
- source_labels: [__address__]
target_label: __param_target
- source_labels: [__param_target]
target_label: instance
- target_label: __address__
replacement: 192.168.32.70:9121
- job_name: 'elasticsearch'
scrape_interval: 15s
metrics_path: "/_prometheus/metrics"
static_configs:
- targets: ['192.168.32.62:9200']
3.構建之後的效果
grafana指標展示界面
2.在線下載已知的控制面板
監控虛擬機物理節點資源
kafka相關監控體系
其他的類似,還有redis、postgresql、mysql、MongoDB等相關的監控體系;
甚至還有微服務相關的監控體系
時間關係,大概展示一些圖片,其實dashboard面板還是挺美觀的