Mastering Performance Analysis with perf

Deep Dive into Linux Performance Profiling and Analysis

What you’ll learn
Understand the basics of perf – the official Linux performance tool
Learn microarchitectural performance analysis
Profile system and application performance
Create custom performance analyses

Requirements
Familiar with Linux operating systems
No performance engineering experience needed

Description
Start with the fundamentals of performance analysis using perf stat, where you’ll learn how to monitor key performance metrics like CPU utilization, cache performance, and context switches. These are essential to a high-level understanding of your application and system performance.From there, you’ll advance to Top-Down Microarchitecture Analysis (TMA), a method that helps you drill down into CPU inefficiencies by categorizing execution into retiring, bad speculation, backend bound, and frontend bound. This approach will allow you to precisely identify CPU performance issues.Next, you’ll dive into detailed profiling with tools like perf record, perf report, and perf top to analyze workloads and uncover performance bottlenecks. You’ll learn techniques like flame graphs for visualizing code execution, off-CPU analysis to detect wait times and latencies, and real-time monitoring techniques to address critical performance issues as they arise.Finally, you’ll learn dynamic instrumentation with perf probe, which allows you to insert probes into running code without needing to restart applications. Combined with perf script, you’ll learn how to write custom scripts that track specific events, offering deeper insights into application behavior and enabling more tailored performance analyses.By the end of this course, you’ll have the skills to identify performance issues and optimize the performance of your applications and systems with confidence.

Who this course is for
Software engineers working on Linux-based systems need to understand how their applications perform
Performance engineers or anyone specifically focused on the performance of software and systems

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