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pprof is a powerful command-line tool for visualization and analysis of profiling data, helping developers and system administrators understand application performance and identify bottlenecks.
pprof is Google's open-source tool designed for consuming and analyzing profiling data. It provides capabilities to generate various reports and visualizations to aid in performance investigation and optimization of software applications.
Analyzing raw profiling data is often complex and time-consuming. pprof transforms this data into intuitive graphical and textual formats, making performance bottlenecks, memory usage patterns, and other runtime characteristics easily understandable.
Supports various profiling formats including CPU profiles, heap profiles, blocking profiles, and mutex profiles from different languages and runtimes (Go, C++, Java, etc.).
Generates interactive web-based visualizations like call graphs, flame graphs, and source code annotations, alongside text-based reports.
pprof is applicable in various scenarios where understanding application runtime behavior and performance characteristics is critical.
Collect a CPU profile during peak load and use pprof to generate a call graph or flame graph to pinpoint functions consuming the most CPU time.
Quickly identify and optimize the hottest code paths in an application.
Generate a heap profile from a long-running process suspected of having memory leaks and use pprof to visualize memory allocation patterns and find leak sources.
Effectively diagnose and resolve memory issues, improving application stability and efficiency.
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