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关于prometheus:Prometheus-Grafana-快速上手

Prometheus + Grafana 疾速上手,监控主机的 CPU, GPU, MEM, IO 等状态。

前提

  • Docker

客户端

Node Exporter

用于采集 UNIX 内核主机的数据,这里下载并解压:

wget https://github.com/prometheus/node_exporter/releases/download/v1.1.2/node_exporter-1.1.2.linux-amd64.tar.gz
tar xvfz node_exporter-1.1.2.linux-amd64.tar.gz
cd node_exporter-1.1.2.linux-amd64
nohup ./node_exporter &

查看数据:

$ curl 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
...

DCGM Exporter

用于采集 NVIDIA GPU 的数据,以 Docker 镜像运行:

docker run -d --restart=always --gpus all -p 9400:9400 nvidia/dcgm-exporter

查看数据:

$ curl localhost:9400/metrics
# HELP DCGM_FI_DEV_SM_CLOCK SM clock frequency (in MHz).
# TYPE DCGM_FI_DEV_SM_CLOCK gauge
# HELP DCGM_FI_DEV_MEM_CLOCK Memory clock frequency (in MHz).
# TYPE DCGM_FI_DEV_MEM_CLOCK gauge
# HELP DCGM_FI_DEV_MEMORY_TEMP Memory temperature (in C).
...

服务器

Prometheus

配置 ~/prometheus.yml

global:
  scrape_interval: 15s

scrape_configs:
# Node Exporter
- job_name: node
  static_configs:
  - targets: ['192.167.200.91:9100']
# DCGM Exporter
- job_name: dcgm
  static_configs:
  - targets: ['192.167.200.91:9400']

运行 Docker 镜像:

docker run -d --restart=always \
-p 9090:9090 \
-v ~/prometheus.yml:/etc/prometheus/prometheus.yml \
prom/prometheus

拜访 http://localhost:9090/:

拜访 http://localhost:9090/targets:

Grafana

运行 Docker 镜像:

docker run -d --restart=always -p 3000:3000 grafana/grafana

拜访 http://localhost:3000/:

admin/admin 登录。

新增数据源

新增 Prometheus

点击 Save & Test

导入仪表盘

导入 8919 Node Exporter for Prometheus Dashboard by StarsL.cn:

查看仪表盘:

导入 12239 NVIDIA DCGM Exporter Dashboard by nvidia:

查看仪表盘:

参考

  • Start Prometheus
  • Prometheus Docs

    • Configuration
    • Node Exporter
    • DCGM Exporter
  • Grafana Docs

    • Dashboards
    • Plugins

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