lab01

实验一、Prometheus起步查询实验

实验步骤

1. 运行Prometheus HTTP Metrics Simulator

• 将http-simulator导入Eclipse IDE
• Review代码理解模拟器原理
• 以Spring Boot方式运行模拟器
• 通过http://localhost:8080/prometheus查看metrics
• 通过Postman启用随机Spike模式

curl -X POST http://SERVICE_URL:8080/spike/random

2. 安装运行Promethus

下载Prometheus 2.4.3 for Windows，并解压到本地目录。

调整全配置项

# my global config
global:
  scrape_interval:     5s # Set the scrape interval to every 5 seconds. Default is every 1 minute.
  scrape_timeout: 5s
  evaluation_interval: 5s # Evaluate rules every 5 seconds. The default is every 1 minute.

添加http-simulator Job配置项

# 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'

    # metrics_path defaults to '/metrics'
    # scheme defaults to 'http'.

    static_configs:
    - targets: ['localhost:9090']	
  - job_name: 'http-simulator'
    metrics_path: /prometheus
    static_configs:
    - targets: ['localhost:8080']

运行Prometheus

./prometheus.exe

访问Prometheus Web UI

http://localhost:9090

通过Status->Targets，或者通过Graph查询

up

metric方式校验prometheus和http-simulator两个jobs在UP或1状态。

3. 请求率(Request Rate)查询

校验http-simulator在1状态

up{job="http-simulator"}

查询http请求数

http_requests_total{job="http-simulator"}

查询成功login请求数

http_requests_total{job="http-simulator", status="200", endpoint="/login"}

查询成功请求数，以endpoint区分

http_requests_total{job="http-simulator", status="200"}

查询总成功请求数

sum(http_requests_total{job="http-simulator", status="200"})

查询成功请求率，以endpoint区分

rate(http_requests_total{job="http-simulator", status="200"}[5m])

查询总成功请求率

sum(rate(http_requests_total{job="http-simulator", status="200"}[5m]))

4. 延迟分布(Latency distribution)查询

查询http-simulator延迟分布

http_request_duration_milliseconds_bucket{job="http-simulator"}

查询成功login延迟分布

http_request_duration_milliseconds_bucket{job="http-simulator", status="200", endpoint="/login"}

不超过200ms延迟的成功login请求占比

sum(http_request_duration_milliseconds_bucket{job="http-simulator", status="200", endpoint="/login", le="200.0"}) / sum(http_request_duration_milliseconds_count{job="http-simulator", status="200", endpoint="/login"})

成功login请求延迟的99百分位

histogram_quantile(0.99, rate(http_request_duration_milliseconds_bucket{job="http-simulator", status="200", endpoint="/login"}[5m]))