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Prometheus 开始

Prometheus + Grafana 快速开始,监控主机的 CPU, GPU, MEM, IO 等状态。

前提#

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

访问 http://localhost:9090/ :

访问 http://localhost:9090/targets :

Grafana#

运行 Docker 镜像:

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

访问 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#