用cAdvisor InfluxDB Grafana监控docker容器的TcpState

问题搭建完cAdvisor InfluxDB Grafana监控集群后, 发现没有tcp相关的数据.源码版本:https://github.com/google/cad…git commit hash:9db8c7dee20a0c41627b208977ab192a0411bf93搭建cAdvisor InfluxDB Grafana参考https://botleg.com/stories/mo…定位过程是否cadvisor没有记录tcp state?容易搜索到, 因为cadvisor的高cpu占用, 需要–disable_metrics=““https://github.com/google/cad…实际上并非如此. 不带任何参数情况下, 本地启动cadvisor.~/gopath/src/github.com/google/cadvisor(master*) » sudo ./cadvisor -logtostderr 在浏览器中打开 http://127.0.0.1:8080/containers/ 可以看到response中, 带有TcpState.是否写入了influxdb?打开influx db shellInfluxDB shell 0.9.6.1> show databasesname: databases—————name_internalmydbcadvisor> use cadvisorUsing database cadvisor> show tag keysname: cpu_usage_system———————-tagKeycontainer_namemachine可以看到, 这些tagKey对应grafana中的select column.那么, 是否cadvisor没有写入influxdb呢?cadvisor/storage/influxdb/influxdb.go:174func (self *influxdbStorage) containerStatsToPoints( cInfo *info.ContainerInfo, stats *info.ContainerStats,) (points []*influxdb.Point) { // CPU usage: Total usage in nanoseconds points = append(points, makePoint(serCpuUsageTotal, stats.Cpu.Usage.Total)) // CPU usage: Time spend in system space (in nanoseconds) points = append(points, makePoint(serCpuUsageSystem, stats.Cpu.Usage.System)) // CPU usage: Time spent in user space (in nanoseconds) points = append(points, makePoint(serCpuUsageUser, stats.Cpu.Usage.User)) // CPU usage per CPU for i := 0; i < len(stats.Cpu.Usage.PerCpu); i++ { point := makePoint(serCpuUsagePerCpu, stats.Cpu.Usage.PerCpu[i]) tags := map[string]string{“instance”: fmt.Sprintf("%v”, i)} addTagsToPoint(point, tags) points = append(points, point) } // Load Average points = append(points, makePoint(serLoadAverage, stats.Cpu.LoadAverage)) // Memory Usage points = append(points, makePoint(serMemoryUsage, stats.Memory.Usage)) // Working Set Size points = append(points, makePoint(serMemoryWorkingSet, stats.Memory.WorkingSet)) // Network Stats points = append(points, makePoint(serRxBytes, stats.Network.RxBytes)) points = append(points, makePoint(serRxErrors, stats.Network.RxErrors)) points = append(points, makePoint(serTxBytes, stats.Network.TxBytes)) points = append(points, makePoint(serTxErrors, stats.Network.TxErrors)) self.tagPoints(cInfo, stats, points) return points}结论需要修改cadvisor代码, 将自己需要的metrics加上.