使用python测试prometheus _prometheus

欠伸展肢体，吟咏心自愉。这篇文章主要讲述使用python测试prometheus相关的知识，希望能为你提供帮助。
为了更直观的了解prometheus如何工作，本文使用prometheus的python库来做一些相应的测试。python库的github地址是
??https://github.com/prometheus/client_python??
根据提示，使用pip安装prometheus_client

pip3 install prometheus_client

然后根据文档中的示例文件运行一个client
文件命名为prometheus_python_client.py

from prometheus_client import start_http_server, Summary
import random
import time

# Create a metric to track time spent and requests made.
REQUEST_TIME = Summary(request_processing_seconds, Time spent processing request)

# Decorate function with metric.
@REQUEST_TIME.time()
def process_request(t):
"""A dummy function that takes some time."""
time.sleep(t)

if __name__ == __main__:
# Start up the server to expose the metrics.
start_http_server(8080)
# Generate some requests.
while True:
process_request(random.random())

【使用python测试prometheus】在后台运行client

pytho3 prometheus_python_client.py &

此时可以访问本机的8080端口，可以看到相应的metric

curl 127.0.0.1:8080/metrics

得到如图所示结果

为了能监控到这个端口为8080的目标，需要在prometheus的配置文件prometheus.yml进行一些修改
在scrape_configs块部分加上一个新的job

scrape_configs:
# The job name is added as a label `job=< job_name> ` to any timeseries scraped from this config.
- job_name: "prometheus"
# metrics_path defaults to /metrics
# scheme defaults to http.
static_configs:
- targets: ["localhost:9090"]
- job_name: python-client
scrape_interval: 5s
static_configs:
- targets: [localhost:8080]
labels:
group: python-client-group