This guide explains how to systematically diagnose Linux performance issues using tools such as top, vmstat, perf, and flame graphs, covering CPU, memory, disk I/O, network, and load analysis, and demonstrates a real-world nginx case study with step‑by‑step commands and visualizations.
This guide explains how to diagnose Linux performance bottlenecks—CPU, memory, disk I/O, network, and system load—using tools such as top, vmstat, perf, and flame graphs, and demonstrates a real‑world Nginx case study to pinpoint high‑CPU JSON parsing and upstream latency issues.
This comprehensive guide explains how to diagnose Linux performance problems—from CPU, memory, disk I/O, and network bottlenecks to system load—using tools like top, vmstat, perf, iostat, netstat, and flame graphs, and demonstrates the methodology with a real‑world Nginx case study.
This article presents a comprehensive guide to Linux performance analysis, covering CPU, memory, disk I/O, network, system load, flame‑graph techniques, and a real‑world Nginx case study, enabling engineers to quickly locate and resolve bottlenecks.
Through profiling with flame graphs, log analysis, and targeted refactoring—including async task handling, rule‑engine tuning, data‑load reduction, and cache redesign—we reduced the 95th‑percentile publishing latency on Baixing.com from around 3 seconds to under 1 second, achieving near‑instant “second‑post” performance.
The article reviews real‑world performance‑tuning practices from Netflix, RisingStack, and nearForm, explaining how they diagnose slow responses, CPU spikes, cryptographic overhead, and event‑loop blocking using techniques such as flame‑graph analysis, crypto profiling, and avoiding costly JSON.stringify operations.
