prometheus之Pushgateway安装和使用方法

docker pull prom/pushgateway
docker run -d --name pushgateway -p 9091:9091 prom/pushgateway

- job_name: 'pushgateway'
      scrape_interval: 5s
      static_configs:
      - targets: ['192.168.2.140:9091']
   honor_labels: true

kubectl apply -f prometheus-alertmanager-cfg.yaml
kubectl delete -f prometheus-alertmanager-deploy.yaml
kubectl apply  -f prometheus-alertmanager-deploy.yaml

# 向 {job="test_job"} 添加单条数据：
echo " metric 3.6" | curl --data-binary @- http://192.168.2.140:9091/metrics/job/test_job

# 添加复杂数据
cat <<EOF | curl --data-binary @- http://192.168.2.140:9091/metrics/job/test_job/instance/test_instance
# TYPE node_memory_usage gauge
node_memory_usage 26
# TYPE memory_total gauge
node_memory_total 26000
EOF

# 删除某个组下某个实例的所有数据
curl -X DELETE http://192.168.2.140:9091/metrics/job/test_job/instance/test_instance
# 删除某个组下的所有数据：
curl -X DELETE http://192.168.2.140:9091/metrics/job/test_job

# -*- coding: utf-8 -*-
# 导入所需的库
from prometheus_client import CollectorRegistry, Gauge, push_to_gateway
if __name__ == '__main__':
    # 定义和注册指标
    registry = CollectorRegistry()
    labels = ['req_status', 'req_method', 'req_url']
    g_one = Gauge('requests_total', 'url请求次数', labels, registry=registry)
    g_two = Gauge('avg_response_time_seconds', '1分钟内的URL平均响应时间', labels, registry=registry)
    # 收集和记录指标数据
    g_one.labels('200','GET', '/test/url').set(1) #set设定值
    g_two.labels('200','GET', '/test/api/url/').set(10) #set设定值
    # 推送指标数据到Pushgateway
    push_to_gateway('http://192.168.2.140:9091', job='SampleURLMetrics', registry=registry)