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這篇文章將為大家詳細(xì)講解有關(guān)使用Python怎么對Prometheus進(jìn)行監(jiān)控,文章內(nèi)容質(zhì)量較高,因此小編分享給大家做個參考,希望大家閱讀完這篇文章后對相關(guān)知識有一定的了解。
使用Python和Flask編寫Prometheus監(jiān)控
Installation
pip install flask pip install prometheus_client
Metrics
Prometheus提供4種類型Metrics:Counter
, Gauge
, Summary
和Histogram
Counter
Counter可以增長,并且在程序重啟的時候會被重設(shè)為0,常被用于任務(wù)個數(shù),總處理時間,錯誤個數(shù)等只增不減的指標(biāo)。
import prometheus_client from prometheus_client import Counter from prometheus_client.core import CollectorRegistry from flask import Response, Flask app = Flask(__name__) requests_total = Counter("request_count", "Total request cout of the host") @app.route("/metrics") def requests_count(): requests_total.inc() # requests_total.inc(2) return Response(prometheus_client.generate_latest(requests_total), mimetype="text/plain") @app.route('/') def index(): requests_total.inc() return "Hello World" if __name__ == "__main__": app.run(host="0.0.0.0")
運(yùn)行該腳本,訪問youhost:5000/metrics
# HELP request_count Total request cout of the host # TYPE request_count counter request_count 3.0
Gauge
Gauge與Counter類似,唯一不同的是Gauge數(shù)值可以減少,常被用于溫度、利用率等指標(biāo)。
import random import prometheus_client from prometheus_client import Gauge from flask import Response, Flask app = Flask(__name__) random_value = Gauge("random_value", "Random value of the request") @app.route("/metrics") def r_value(): random_value.set(random.randint(0, 10)) return Response(prometheus_client.generate_latest(random_value), mimetype="text/plain") if __name__ == "__main__": app.run(host="0.0.0.0")
運(yùn)行該腳本,訪問youhost:5000/metrics
# HELP random_value Random value of the request # TYPE random_value gauge random_value 3.0
Summary/Histogram
Summary/Histogram概念比較復(fù)雜,一般exporter很難用到,暫且不說。
LABELS
使用labels來區(qū)分metric的特征
from prometheus_client import Counter c = Counter('requests_total', 'HTTP requests total', ['method', 'clientip']) c.labels('get', '127.0.0.1').inc() c.labels('post', '192.168.0.1').inc(3) c.labels(method="get", clientip="192.168.0.1").inc()
使用Python和asyncio編寫Prometheus監(jiān)控
from prometheus_client import Counter, Gauge from prometheus_client.core import CollectorRegistry REGISTRY = CollectorRegistry(auto_describe=False) requests_total = Counter("request_count", "Total request cout of the host", registry=REGISTRY) random_value = Gauge("random_value", "Random value of the request", registry=REGISTRY)
import prometheus_client from prometheus_client import Counter,Gauge from prometheus_client.core import CollectorRegistry from aiohttp import web import aiohttp import asyncio import uvloop import random,logging,time,datetime asyncio.set_event_loop_policy(uvloop.EventLoopPolicy()) routes = web.RouteTableDef() # metrics包含 requests_total = Counter("request_count", "Total request cout of the host") # 數(shù)值只增 random_value = Gauge("random_value", "Random value of the request") # 數(shù)值可大可小 @routes.get('/metrics') async def metrics(request): requests_total.inc() # 計數(shù)器自增 # requests_total.inc(2) data = prometheus_client.generate_latest(requests_total) return web.Response(body = data,content_type="text/plain") # 將計數(shù)器的值返回 @routes.get("/metrics2") async def metrics2(request): random_value.set(random.randint(0, 10)) # 設(shè)置值任意值,但是一定要為 整數(shù)或者浮點(diǎn)數(shù) return web.Response(body = prometheus_client.generate_latest(random_value),content_type="text/plain") # 將值返回 @routes.get('/') async def hello(request): return web.Response(text="Hello, world") # 使用labels來區(qū)分metric的特征 c = Counter('requests_total', 'HTTP requests total', ['method', 'clientip']) # 添加lable的key, c.labels('get', '127.0.0.1').inc() #為不同的label進(jìn)行統(tǒng)計 c.labels('post', '192.168.0.1').inc(3) #為不同的label進(jìn)行統(tǒng)計 c.labels(method="get", clientip="192.168.0.1").inc() #為不同的label進(jìn)行統(tǒng)計 g = Gauge('my_inprogress_requests', 'Description of gauge',['mylabelname']) g.labels(mylabelname='str').set(3.6) #value自己定義,但是一定要為 整數(shù)或者浮點(diǎn)數(shù) if __name__ == '__main__': logging.info('server start:%s'% datetime.datetime.now()) app = web.Application(client_max_size=int(2)*1024**2) # 創(chuàng)建app,設(shè)置最大接收圖片大小為2M app.add_routes(routes) # 添加路由映射 web.run_app(app,host='0.0.0.0',port=2222) # 啟動app logging.info('server close:%s'% datetime.datetime.now())
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