监控数据

微服务监控告警Prometheus实验，极客时间微服务架构实践课https://github.com/spring2go/prom_lab


配置文件

# 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.

# 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']

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]))