压测: Locust 搭建性能监控平台_locust压测平台

压测: Locust 搭建性能监控平台

一、问题

Locust 平台本身的数据是非持久化存储的，每次测试结束数据就清空了。

二、解决方案

Locust + Prometheus + Grafana
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三、docker 启动 Prometheus + Grafana

$ docker-compose up -d
$ cat docker-compose.yml
version: '3'

volumes:
  prometheus-data:
    driver: local
  grafana-data:
    driver: local

services:
  prometheus:
    image: prom/prometheus:latest
    container_name: prometheus
    ports:
      - "9090:9090"
    volumes:
      - ./etc/prometheus:/etc/prometheus
      - prometheus-data:/prometheus
    restart: unless-stopped
    command:
      - "--config.file=/etc/prometheus/prometheus.yml"

  grafana:
    image: grafana/grafana-oss:latest
    container_name: grafana
    ports:
      - "3000:3000"
    volumes:
      - grafana-data:/var/lib/grafana
    restart: unless-stopped

  node_exporter:
    image: quay.io/prometheus/node-exporter:latest
    container_name: node_exporter
    command:
      - '--path.rootfs=/host'
    pid: host
    restart: unless-stopped
    volumes:
      - '/:/host:ro'
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cat ./etc/prometheus/prometheus.yml 
global:
  scrape_interval:     15s # By default, scrape targets every 15 seconds.

  # Attach these labels to any time series or alerts when communicating with
  # external systems (federation, remote storage, Alertmanager).
  # external_labels:
  #  monitor: 'codelab-monitor'

# A scrape configuration containing exactly one endpoint to scrape:
# Here it's Prometheus itself.
scrape_configs:
  # The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.
  - job_name: 'prometheus'
    # Override the global default and scrape targets from this job every 5 seconds.
    scrape_interval: 5s
    static_configs:
      - targets: ['localhost:9090']

  - job_name: locust
    metrics_path: '/export/prometheus'
    static_configs:
      - targets: ['172.20.0.2:8089']  # 地址修改为实际地址
        labels:
          instance: locust
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四、Locust 配置

• 安装 prometheus_client

pip3 install prometheus_client
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• Locust Master: prometheus_exporter.py

# coding: utf8

import six
from itertools import chain

from flask import request, Response
from locust import stats as locust_stats, runners as locust_runners
from locust import User, task, events
from prometheus_client import Metric, REGISTRY, exposition

# This locustfile adds an external web endpoint to the locust master, and makes it serve as a prometheus exporter.
# Runs it as a normal locustfile, then points prometheus to it.
# locust -f prometheus_exporter.py --master

# Lots of code taken from [mbolek's locust_exporter](https://github.com/mbolek/locust_exporter), thx mbolek!


class LocustCollector(object):
    registry = REGISTRY

    def __init__(self, environment, runner):
        self.environment = environment
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