Profile Linux runtime events in memory for real-time system performance analysis.
npx skills add https://github.com/OpenCloudOS/perf-prof --skill perf-prof
Please help me install this Agent Skill. Skill: perf-prof Source: https://github.com/OpenCloudOS/perf-prof/tree/main/skills/perf-prof Command: npx skills add https://github.com/OpenCloudOS/perf-prof --skill perf-prof
perf-prof enables engineers to diagnose Linux system problems by profiling events in memory, delivering real-time insights without data loss to disk.
Run perf-prof profile to collect CPU hotspots, then extend to multi-trace or kmemleak for deeper analysis.
High-intent search queries and answers about installing and using this skill.
Real-time Linux system profiling captures runtime events directly in memory to provide immediate performance insights without disk I/O bottlenecks. This approach prevents data loss during high-throughput tracing and enables instantaneous analysis.
Tracing CPU hotspots and scheduling delays involves using dedicated profilers to sample runtime events across kernel and user space. These tools identify execution bottlenecks and process-state delays to pinpoint exact performance degradation sources.
Detecting memory leaks and IO latency requires applying specific profilers like kmemleak for memory tracking and blktrace for IO operations. These tools isolate virtualization overhead and block device delays within kernel and user space.
Multi-trace enables delay and event-correlation analyses across virtualized environments. It captures kvm-exit events and combines them with scheduling traces to isolate virtualization overhead from underlying kernel delays.
Selecting and filtering profiling events requires configuring specific profilers to target kernel and user space operations. High-level aggregations are then generated using sql/top workflows to summarize the filtered runtime data.
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