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Docker-安裝Prometheus、grafana

1.拉取映象包

docker pull prom/node-exporter
docker pull prom/prometheus
docker pull grafana/grafana
 

2.啟動node-exporter[方便測試Prometheus]

docker run -d -p 9100:9100 \
  -v "/home/fz/docker/node-exporter/proc:/host/proc:ro" \
  -v "/home/fz/docker/node-exporter/sys:/host/sys:ro" \
  -v "/home/fz/docker/node-exporter/:/rootfs:ro
" \ --net="host" \ prom/node-exporter
  http://localhost:9100/metrics
# HELP go_gc_duration_seconds A summary of the pause duration of garbage collection cycles.
# TYPE go_gc_duration_seconds summary
go_gc_duration_seconds{quantile="0"} 0
go_gc_duration_seconds{quantile="0.25"} 0
go_gc_duration_seconds{quantile
="0.5"} 0 go_gc_duration_seconds{quantile="0.75"} 0 go_gc_duration_seconds{quantile="1"} 0 go_gc_duration_seconds_sum 0 go_gc_duration_seconds_count 0 # HELP go_goroutines Number of goroutines that currently exist. # TYPE go_goroutines gauge go_goroutines 8 # HELP go_info Information about the Go environment. # TYPE go_info gauge go_info{version
="go1.16.7"} 1 # HELP go_memstats_alloc_bytes Number of bytes allocated and still in use. # TYPE go_memstats_alloc_bytes gauge go_memstats_alloc_bytes 1.346552e+06 # HELP go_memstats_alloc_bytes_total Total number of bytes allocated, even if freed. # TYPE go_memstats_alloc_bytes_total counter go_memstats_alloc_bytes_total 1.346552e+06 # HELP go_memstats_buck_hash_sys_bytes Number of bytes used by the profiling bucket hash table. # TYPE go_memstats_buck_hash_sys_bytes gauge go_memstats_buck_hash_sys_bytes 1.445106e+06 # HELP go_memstats_frees_total Total number of frees. # TYPE go_memstats_frees_total counter go_memstats_frees_total 730 # HELP go_memstats_gc_cpu_fraction The fraction of this program's available CPU time used by the GC since the program started. # TYPE go_memstats_gc_cpu_fraction gauge go_memstats_gc_cpu_fraction 0
 

3.啟動prometheus

mkdir /home/fz/docker/prometheus
cd /home/fz/docker/prometheus
  vim prometheus.yml   
global:
    scrape_interval:     60s
    evaluation_interval: 60s
  scrape_configs:
    - job_name: prometheus
      static_configs:
        - targets: ['localhost:9090']
          labels:
            instance: prometheus
    - job_name: linux
      static_configs:
        - targets: ['localhost:9100']
          labels:
            instance: localhost
    - job_name: clickhouse-1
      static_configs:
        - targets: ['xx1:9363','xx2:9363','xx3:9363']
          labels:
            instance: localhost

此處配置了一個clickhouse叢集,如有沒有直接刪掉相關配置即可。

  啟動
docker run  -d  -p 9090:9090 -v /home/fz/docker/prometheus/prometheus.yml:/etc/prometheus/prometheus.yml prom/prometheus
  http://localhost:9090/graph  

4.啟動grafana

建立對映的資料卷 
mkdir /home/fz/docker/grafana-storage
chmod 777 -R /home/fz/docker/grafana-storage

 啟動

docker run -d -p 3000:3000 --name=grafana  -v /home/fz/docker/grafana-storage:/var/lib/grafana grafana/grafana
http://localhost:3000/login 預設使用者名稱密碼:admin/admin