Performance — Cheat Sheet
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Cheat Sheet · AiCanCode.org
Performance
Linux1 topicsQuick revision reference
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Linux Performance Monitoring
Profile CPU, memory, disk I/O, and network using vmstat, iostat, sar, perf, and flame graphs. Understand load average, context switches, and I/O wait to diagnose production bottlenecks.
- ✓Load average > number of CPUs = CPU saturation — processes are queuing for CPU time.
- ✓"available" in free -h is the real usable memory — "free" excludes reclaimable cache.
- ✓Non-zero swap out (vmstat si/so) = memory pressure = significant performance impact.
- ✓await in iostat = average I/O request latency — high await = disk bottleneck.
- ✓iostat util% = 100% = device saturated = I/O bottleneck — upgrade storage or reduce I/O.
- ✓Exhausted inodes (df -i shows 100%) cause "no space left" errors even with free disk space.
bash — CPU monitoring with uptime, vmstat, perf
# Load average uptime # 10:30:05 up 5 days, 2:15, 2 users, load average: 1.25, 0.87, 0.64 # 1min 5min 15min # Rule: load average / number of CPUs = saturation # 1.25 load on a 4-core system = 31% saturated (healthy) # 8.0 load on a 4-core system = 200% saturated (heavy queue) nproc # number of logical CPU cores lscpu # full CPU info (cores, threads, NUMA) # vmstat — virtual memory statistics vmstat 1 5 # 5 samples, 1 second apart # procs memory swap io system cpu # r b swpd free si so bi bo in cs us sy id wa st # 2 0 0 512000 0 0 100 200 1500 2000 40 10 45 5 0 # r: runnable (queued) processes — if consistently > nproc, CPU saturated # b: uninterruptible sleep (waiting for I/O) — if high, I/O bottleneck # wa (cpu): % time waiting for I/O — high wa = disk/network bottleneck # cs: context switches per second — very high = too many threads/processes # us: user CPU, sy: kernel CPU, id: idle # CPU profiling with perf perf top # real-time CPU profiler (which functions are hot) perf record -g ./myapp # record call graph perf report # analyze recorded data
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