这篇文章给大家分享的是有关docker-monitor-injector工具算法的示例分析的内容。小编觉得挺实用的,因此分享给大家做个参考,一起跟随小编过来看看吧。
工具介绍 docker-monitor-injector是携程开源的一个修正docker容器内监控数据的工具,通过劫持open,fopen等linux库函数,重算/proc/meminfo,/proc/stat等度量指标,使得容器内free,top等系统工具能正确统计容器性能指标。下面将对其进行源码分析,并整理出各个数据的监控修正算法。
算法(伪码)
/proc/uptime
reaperage: time(NULL) - lstat("/proc/1").st_ctime idletime: (reaperage - cpuacct.usage)/1000000000
/proc/meminfo
MemTotal: memory.limit_in_bytes memfree: memlimit - memusage swaptotal: memswlimit > 0 ? memswlimit - memlimit : 0 SwapFree: (memswlimit > 0 && memswusage > 0) ? (memswlimit - memlimit) - (memswusage - memusage):0 cached: memory.stat.total_cache Buffers: 0 SwapCached: 0 Slab: 0
/proc/stat
a.proc_stat_by_shares user_sum: cpuacct.stat.user system_sum: cpuacct.stat.system nice_sum: (_self*cpu.shares/1024)/sysconf(_SC_NPROCESSORS_ONLN) idle_sum: (_self*cpu.shares/1024)/sysconf(_SC_NPROCESSORS_ONLN) iowait_sum: (_self*cpu.shares/1024)/sysconf(_SC_NPROCESSORS_ONLN) irq_sum: (_self*cpu.shares/1024)/sysconf(_SC_NPROCESSORS_ONLN) softirq_sum:(_self*cpu.shares/1024)/sysconf(_SC_NPROCESSORS_ONLN) steal_sum: (_self*cpu.shares/1024)/sysconf(_SC_NPROCESSORS_ONLN) guest_sum: (_self*cpu.shares/1024)/sysconf(_SC_NPROCESSORS_ONLN) 任一cpu stat值算法如下: x = x_sum/sysconf(_SC_NPROCESSORS_ONLN),x_sum为上述任一指标
b.flush_proc_stat_by_cpusets
btime: stat("/proc/1").st_ctime user_sum, nice_sum, system_sum, idle_sum, iowait_sum, irq_sum, softirq_sum, steal_sum, guest_sum = 容器所拥有cpu id在/proc/stat中对应值之和。
/proc/cpuinfo
若容器绑定cpu,只输出绑定cpu id对应cpu info信息 否则,全部输出
/sys/devices/system/cpu/online
//经过验证,该算法应该是有缺陷的,不作分析。
/proc/diskstats
read = blkio.io_serviced:major:minor:Read write = blkio.io_serviced:major:minor:Write read_merged = blkio.io_merged:major:minor:Read write_merged=blkio.io_merged:major:minor:Write read_sectors= blkio.io_service_bytes:major:minor:Read/512 write_sectors= blkio.io_service_bytes:major:minor:Write)/512 rd_svctm = blkio.io_service_time:major:minor:Read/1000000 rd_wait = get_blkio_io_value(blkio.io_wait_time:major:minor:Read)/1000000 read_ticks = rd_svctm + rd_wait wr_svctm = blkio.io_service_time:major:minor:Write/1000000 wr_wait = blkio.io_wait_time:major:minor:Write/1000000; write_ticks = wr_svctm + wr_wait tot_ticks = blkio.io_service_time:major:minor:Total/1000000 ... if (read || write || read_merged || write_merged || read_sectors || write_sectors || read_ticks || write_ticks) { snprintf(lbuf, 256, "%u %u %s %lu %lu %lu %lu %lu %lu %lu %lu %lu %lu %lu\n", major, minor, dev_name, read, read_merged, read_sectors, read_ticks, write, write_merged, write_sectors, write_ticks, ios_pgr, tot_ticks, rq_ticks);
感谢各位的阅读!关于“docker-monitor-injector工具算法的示例分析”这篇文章就分享到这里了,希望以上内容可以对大家有一定的帮助,让大家可以学到更多知识,如果觉得文章不错,可以把它分享出去让更多的人看到吧!
免责声明:本站发布的内容(图片、视频和文字)以原创、转载和分享为主,文章观点不代表本网站立场,如果涉及侵权请联系站长邮箱:is@yisu.com进行举报,并提供相关证据,一经查实,将立刻删除涉嫌侵权内容。