3 Repos
Awesome GitHub RepositoriesNode.js Performance Analysis
Guides on profiling CPU usage and analyzing flame graphs to identify execution bottlenecks in the Node.js runtime.
Distinct from Node.js Debuggers: Focuses on the analysis and profiling methodology rather than the debugger tool itself.
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Awesome Node.js Performance Analysis GitHub Repositories
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- nswbmw/node-in-debugging
nswbmw/node-in-debugging
6,457Auf GitHub ansehenThis project is a comprehensive technical guide and diagnostic manual for analyzing memory, performance, and asynchronous behavior within Node.js applications. It provides detailed methods for asynchronous tracing, memory diagnostics, and performance analysis to resolve runtime errors and execution bottlenecks. The resource distinguishes itself by covering advanced diagnostic workflows, including the use of flame graphs for CPU profiling, the capture and comparison of heap snapshots for memory leak detection, and the mapping of asynchronous call stacks. It also provides technical guidance on
Provides a guide to profiling CPU usage and analyzing flame graphs to identify execution bottlenecks.
debugdebuggingguide - clinicjs/node-clinic
clinicjs/node-clinic
5,948Auf GitHub ansehenNode-clinic ist eine Performance-Profiling-Suite für Node.js, die zur Diagnose von CPU-Engpässen, Speicherlecks und Problemen mit der asynchronen Event-Loop entwickelt wurde. Sie bietet spezialisierte Diagnose-Tools zur Visualisierung asynchroner Abläufe, zur Erstellung von CPU-Flame-Graphs und zur Analyse der Heap-Speicherallokation. Die Suite enthält ein CPU-Flame-Graph-Tool zur Identifizierung rechenintensiver Funktionen, einen Heap-Speicher-Analyzer zur Verfolgung von Objektallokationen und Lecks sowie einen asynchronen I/O-Profiler zur Abbildung von Operationsabläufen und zur Lokalisierung von Event-Loop-Engpässen. Diese Tools decken ein breites Spektrum an Funktionen im Bereich CPU-Execution-Profiling, Heap-Speicheranalyse und Performance-Diagnose ab, indem sie Systemmetriken mit Ausführungsmustern korrelieren.
Provides a comprehensive suite for profiling CPU and memory to fix bottlenecks in Node.js applications.
JavaScript - yjhjstz/deep-into-node
yjhjstz/deep-into-node
4,392Auf GitHub ansehenThis project is a technical study and analysis guide focused on the internal architecture of Node.js. It provides an in-depth examination of the runtime, focusing on how the engine manages memory handles, executes asynchronous operations, and implements core module logic. The guide specifically analyzes the integration of native C++ classes and functions into JavaScript and documents the behavior of the libuv event loop. It includes detailed references for optimizing performance by identifying V8 compiler bailouts and profiling execution to improve resource efficiency. The material covers a
Offers a technical study of the Node.js source code focusing on runtime architecture and performance.
libuvnodejsv8
