initial import

example/load/simulate/cpu/Dockerfile

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+FROM golang:alpine AS builder
+
+LABEL stage=gobuilder
+
+ENV CGO_ENABLED 0
+ENV GOOS linux
+ENV GOPROXY https://goproxy.cn,direct
+
+WORKDIR $GOPATH/src/zero
+COPY . .
+RUN go build -ldflags="-s -w" -o /app/main example/load/simulate/cpu/main.go
+
+
+FROM alpine
+
+RUN apk add --no-cache tzdata
+ENV TZ Asia/Shanghai
+
+RUN apk add git
+RUN go get github.com/vikyd/go-cpu-load
+
+RUN mkdir /app
+COPY --from=builder /app/main /app/main
+
+WORKDIR /app
+CMD ["/app/main"]

example/load/simulate/cpu/Makefile

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+version := v1
+
+build:
+	cd $(GOPATH)/src/zero && docker build -t registry.cn-hangzhou.aliyuncs.com/xapp/shedding:$(version) . -f example/load/simulate/cpu/Dockerfile
+
+push: build
+	docker push registry.cn-hangzhou.aliyuncs.com/xapp/shedding:$(version)
+
+deploy: push
+	kubectl apply -f shedding.yaml
+
+clean:
+	kubectl delete -f shedding.yaml

example/load/simulate/cpu/cpu-accuracy.md

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+# cpu监控准确度测试
+
+1. 启动测试pod
+
+   `make deploy`
+
+2. 通过`kubectl get po -n adhoc`确认`sheeding` pod已经成功运行，通过如下命令进入pod
+
+   `kubectl exec -it -n adhoc shedding -- sh`
+
+3. 启动负载
+
+   `/app # go-cpu-load -p 50 -c 1`
+
+   默认`go-cpu-load`是对每个core加上负载的，所以测试里指定了`1000m`，等同于1 core，我们指定`-c 1`让测试更具有可读性
+
+   `-p`可以多换几个值测试
+
+4. 验证测试准确性
+
+   `kubectl logs -f -n adhoc shedding`
+
+   可以看到日志中的`CPU`报告，`1000m`表示`100%`，如果看到`500m`则表示`50%`，每分钟输出一次
+
+   `watch -n 5 kubectl top pod -n adhoc`
+
+   可以看到`kubectl`报告的`CPU`使用率，两者进行对比，即可知道是否准确
+

example/load/simulate/cpu/main.go

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+package main
+
+import _ "zero/core/stat"
+
+func main() {
+	select {}
+}

example/load/simulate/cpu/shedding.yaml

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+apiVersion: v1
+kind: Pod
+metadata:
+  name: shedding
+  namespace: adhoc
+spec:
+  containers:
+    - name: shedding
+      image: registry-vpc.cn-hangzhou.aliyuncs.com/xapp/shedding:v1
+      imagePullPolicy: Always
+      resources:
+        requests:
+          cpu: 1000m
+        limits:
+          cpu: 1000m
+  imagePullSecrets:
+    - name: aliyun