parca 简单试用

parca 支持多种模式的数据ingestion 以下测试下基于pull 模式的

数据ingestion 模式

参考图

 

 

环境准备

• docker-compose.yaml

 

version: '3'

services:

  app:

    build: ./

    ports:

    - "3000:3000"

  parca:

    image: ghcr.io/parca-dev/parca:v0.12.1

    command: /parca --config-path=/opt/parca.yaml

    ports:

    - "7070:7070"

    volumes:

    - "./parca.yaml:/opt/parca.yaml"

parca 配置

debug_info:

  bucket:

    type: "FILESYSTEM"

    config:

      directory: "./tmp"

  cache:

    type: "FILESYSTEM"

    config:

      directory: "./tmp"

 

scrape_configs:

  - job_name: "default"

    scrape_interval: "2s"

    static_configs:

      - targets: ["127.0.0.1:7070"]

  - job_name: "myapp"

    scrape_interval: "2s"

    static_configs:

      - targets: ["app:3000"]

• app dockerfile

FROM golang:1.19-alpine3.16 AS build-env

WORKDIR /go/src/app

RUN  /bin/sed -i 's,http://dl-cdn.alpinelinux.org,https://mirrors.aliyun.com,g' /etc/apk/repositories

 

ENV  GO111MODULE=on

ENV  GOPROXY=https://goproxy.cn

COPY . .

RUN apk update && apk add git \

    && go build -o app

 

FROM alpine:latest

WORKDIR /app

RUN  /bin/sed -i 's,http://dl-cdn.alpinelinux.org,https://mirrors.aliyun.com,g' /etc/apk/repositories

RUN apk update && apk add ca-certificates && rm -rf /var/cache/apk/*

COPY --from=build-env /go/src/app/app /app/app

EXPOSE 3000

CMD ["/app/app"]

app.go

package main

 

import (

    "log"

    "net/http"

    "net/http/pprof"

)

 

func main() {

    mux := http.NewServeMux()

    mux.HandleFunc("/", func(w http.ResponseWriter, r *http.Request) {

        w.Header().Add("dalong", "app")

        w.Write([]byte("dalongdemo"))

    })

    mux.HandleFunc("/debug/pprof/", pprof.Index)

    mux.HandleFunc("/debug/pprof/cmdline", pprof.Cmdline)

    mux.HandleFunc("/debug/pprof/profile", pprof.Profile)

    mux.HandleFunc("/debug/pprof/symbol", pprof.Symbol)

    mux.HandleFunc("/debug/pprof/trace", pprof.Trace)

    log.Fatal(http.ListenAndServe("0.0.0.0:3000", mux))

}

运行&效果

• 启动

docker-compose up -d 

• 效果

target

 

 

查询

 

 

调用链

 

 

说明

以上是基于pull 模式的使用，实际上对于golang 应用我们是可以拿来即用的，还是比较方便的，后续深入研究下

参考资料

https://github.com/rongfengliang/parca-docker-compose-learning
https://www.parca.dev/docs/instrumenting-go
https://github.com/parca-dev/parca
https://github.com/parca-dev/parca-agent