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性能调优：perf_events + bpftrace + BCC","post-18-Linux性能调优","原创","# Linux 性能调优：perf_events + bpftrace + BCC\n\n线上服务器性能问题排查的核心思路是 USE 法：先看每个资源的 Utilization（利用率）、Saturation（饱和度）、Errors（错误数），再用对应工具深入。本文介绍三大主流工具。\n\n## perf_events：CPU 级热点分析\n\nperf 基于 CPU PMU 硬件计数器，开销极低（~2%）。99Hz 采样避开调度周期整倍数获取真实分布。perf stat 看 cache miss、分支预测失败宏观指标；perf record + FlameGraph 生成交互式火焰图。\n\n```bash\n```bash\n#!\u002Fusr\u002Fbin\u002Fenv bash\nset -euo pipefail\nLOG=perf-report-$(date +%Y%m%d-%H%M).log\nexec > >(tee -a \"$LOG\") 2>&1\n\necho \"===== [1] CPU TOP functions 30s =====\"\nperf record -F 99 -a -g -- sleep 30\nperf report --stdio -n --sort comm,dso,symbol | head -60\n# perf script | FlameGraph\u002Fstackcollapse-perf.pl | flamegraph.pl > cpu-flame.svg\n\necho \"\\n===== [2] perf stat system-wide =====\"\nperf stat -a -d -- sleep 10\n# 关注 context-switches, cache-misses 比率, stalled-cycles-frontend\n\necho \"\\n===== [3] bpftrace: block IO size distribution by comm =====\"\nbpftrace -e '\ntracepoint:block:block_rq_issue { @[comm, args->rwbs[0]] = hist(args->bytes); }\ninterval:s:15 { printf(\"\\n=== 15s IO hist by process ===\\n\"); print(@); clear(@); exit(); }\n' 2>&1 | head -40 || true\n\necho \"\\n===== [4] bpftrace: TCP active connect trace =====\"\nbpftrace -e '\nkprobe:tcp_connect { printf(\"PID %d (%s) -> %s\\n\", pid, comm, ntop(args->family, args->daddr)); }\n' -c 'curl -s https:\u002F\u002Fexample.com >\u002Fdev\u002Fnull' 2>&1 | head -20 || true\n\necho \"\\n===== [5] BCC biolatency + tcplife =====\"\n\u002Fusr\u002Fshare\u002Fbcc\u002Ftools\u002Fbiolatency -mF 1 5 || true\n# \u002Fusr\u002Fshare\u002Fbcc\u002Ftools\u002Foffcputime -df 5 1 > offcpu.stacks\ntimeout 15 \u002Fusr\u002Fshare\u002Fbcc\u002Ftools\u002Ftcplife -L -T 2>\u002Fdev\u002Fnull | head -40 || true\n\necho \"\\n===== [6] snapshot vmstat slabtop sar =====\"\nvmstat 1 5\necho \"--- slab top ---\"\nslabtop -o -s c | head -25 || true\necho \"--- THP check ---\"\ngrep -E \"AnonHugePages|HugePages_Total\" \u002Fproc\u002Fmeminfo || true\necho \"\\nSaved to: $LOG\"\n```\n```\n\n## bpftrace \u002F BCC：内核事件追踪\n\neBPF 可在内核函数、tracepoint、USDT 探针挂载自定义 C 程序，安全沙箱化运行。bpftrace 适合一行脚本速查；BCC 是预编译好的 200+ 常用工具，biolatency、offcputime、tcplife 是 IO\u002F阻塞\u002F网络延迟三板斧。\n\n| 资源维度 | 宏观指标（一眼定位） | 微观诊断工具（深入分析） |\n|---------|---------------------|-----------------------|\n| CPU | top\u002Fvmstat us,sy,wa,st | perf record + FlameGraph |\n| 调度延迟 | \u002Fproc\u002Fschedstat pidstat -w | BCC runqlat bpftrace sched_switch |\n| 内存 | free\u002Fvmstat si,so sar -r | BCC memleak perf kmem slabtop |\n| 磁盘IO | iostat -xz await\u002Futil% | BCC biolatency bpftrace block_rq_* |\n| 网络延迟 | ss -ti\u002Fsar -n TCP,ETCP | BCC tcplife bpftrace tcp:probe |\n\n## 最佳实践\n\n先宏观再微观：先跑 sar\u002Fvmstat 确定是哪类资源问题，再用对应 BCC 工具，最后 perf\u002Fbpftrace 自定义追踪。eBPF 权限高，生产先 staging 验证，注意运行时长不超过几分钟。","从 CPU、内存、IO、网络四个维度，使用 perf_events 采样堆栈、bpftrace 一行脚本追踪内核点、BCC 工具集 biolatency\u002Foffcputime，快速定位生产服务器性能瓶颈，附真实排查思路。",{"id":6,"username":185,"nickname":185,"avatar":20,"cover_image":20,"bio":20,"website":20,"github":20,"avatar_source":20,"resolved_avatar_url":20,"title":20,"created_at":186},"Choyeon","2026-09-30T18:09:53.330367Z",{"id":6,"name":10,"slug":12,"description":16,"icon":18,"color":19,"cover_image":20,"created_at":21,"post_count":87},[189,195,201,207],{"id":190,"name":191,"slug":192,"color":193,"icon":20,"is_active":141,"created_at":194,"post_count":87},15,"性能优化","performance","#f97316","2026-09-30T18:09:53.707190Z",{"id":196,"name":197,"slug":198,"color":199,"icon":20,"is_active":141,"created_at":200,"post_count":87},21,"Rust","rust","#dea584","2026-09-30T18:09:53.723993Z",{"id":202,"name":203,"slug":204,"color":205,"icon":20,"is_active":141,"created_at":206,"post_count":87},22,"Go","go","#00add8","2026-09-30T18:09:53.726775Z",{"id":208,"name":209,"slug":210,"color":211,"icon":20,"is_active":141,"created_at":212,"post_count":87},24,"Linux","linux","#fcc624","2026-09-30T18:09:53.731844Z","published","public",225,"Linux,性能优化,Go,Rust","2026-09-10T20:09:53.733462Z","2026-10-01T04:54:47.771735Z"]