Projects sharing features with Go Perfbook

Pyroscope is a continuous profiling platform designed to collect, store, and visualize application performance data. It functions as an application performance management suite that tracks historical resource usage to identify bottlenecks and detect performance regressions over time. The platform distinguishes itself through its use of kernel-level instrumentation and dynamic runtime hooks, which allow for performance monitoring without requiring manual code modifications or application restarts. It employs a sidecar agent architecture to offload telemetry processing, utilizing delta-encoded

HelloSilicon is a programming guide and tutorial for writing and debugging low-level 64-bit assembly code specifically for Apple Silicon processors. It serves as an architecture reference for interacting with macOS and iOS kernel services using system calls and hardware registers. The project provides specialized instruction on foreign function interfacing to bridge assembly with high-level languages like C or Python. It also includes a toolkit for configuring Mach-O binaries and compiling universal binaries and dynamic libraries for cross-hardware compatibility. The material covers low-leve

This project is an ARMv8 assembly programming guide and tutorial designed to teach the translation of high-level logic into low-level machine instructions. It serves as a low-level systems programming reference for writing and executing code specifically for the ARMv8 architecture. The resource provides instructions for cross-platform assembly implementation, focusing on unifying symbol naming and memory addressing to ensure source code builds across different operating systems. It also covers the integration of assembly routines with higher-level languages using standardized calling conventi

This project is a collection of technical documentation, notes, and tutorials designed to guide the interpretation of profiling data and the diagnosis of goroutine activity within Go applications. It serves as a reference for measuring synchronization latency and analyzing how the Go runtime manages memory and execution threads. The guides focus on identifying synchronization bottlenecks and resource usage, providing a framework for interpreting profiling data to resolve processing bottlenecks. It specifically covers the measurement of blocking latency to track time spent waiting on channels

This project is a technical programming guide and educational resource focused on Go internals, runtime mechanisms, and advanced language features. It provides detailed conceptual analysis of the language's execution model, including its scheduler, memory escape analysis, and garbage collection mechanisms. The material distinguishes itself through deep dives into high-concurrency system design, exploring the implementation of worker pools and communication channels. It also covers low-level network programming with a focus on I/O multiplexing and TCP state management, alongside a study of dis

This platform is an automated assessment tool and coding challenge environment designed to help developers practice Go programming and prepare for technical interviews. It provides a structured library of algorithmic and data structure exercises that range from beginner to advanced difficulty levels, allowing users to build proficiency in language syntax and standard library usage. The system distinguishes itself by integrating artificial intelligence to provide real-time code reviews, contextual hints, and simulated interview feedback. It evaluates user submissions through isolated, containe

k6 is a performance testing framework used to measure the scalability and stability of network services and APIs. It functions as a JavaScript load testing tool that uses a Go engine to simulate concurrent user traffic. The tool enables the enforcement of service level objectives by comparing response time percentiles against quantitative performance thresholds. It also operates as a performance regression tool for continuous integration pipelines and a browser performance testing tool that executes scripts within a bundled headless browser instance. Its capabilities cover workload scenario

CppGuide is a curated collection of educational resources and practical guides focused on C++ server development, Linux kernel internals, concurrent programming, network protocols, and security exploitation. It provides structured learning paths for backend developers, covering everything from interview preparation to building high-performance network servers and understanding operating system fundamentals. The guide distinguishes itself by offering in-depth, hands-on tutorials that walk through real-world implementations, including building a Redis-like server from scratch, designing custom

This project is a comprehensive technical guide to advanced Go programming. It serves as a programming guide, technical reference, and textbook covering low-level optimization and distributed systems architecture. The resource provides detailed instructions on writing assembly instructions to optimize performance-critical code and managing C-Go interoperability to bridge C libraries with Go. It also functions as a manual for implementing remote procedure call mechanisms and creating custom plugins for the Protocol Buffers compiler. The material covers high-level capabilities including the de

This project is a performance analysis tool for Ruby applications using the Rack interface. It monitors request execution times and resource usage, serving as a profiler for web applications to measure latency and identify bottlenecks. The tool provides specific analyzers for database query performance, memory allocations, and garbage collection statistics. It generates call stack flamegraphs to visualize time distribution across methods and renders speed badges and timing metrics directly onto HTML pages. The system covers broader performance profiling capabilities including custom code blo

MangoHud is a Linux hardware monitor and performance overlay that displays real-time metrics and frame rates. It functions as a graphics API hook, intercepting Vulkan and OpenGL pipelines to render performance data directly onto the graphics buffer. The project serves as both a real-time monitor for CPU and GPU utilization, temperatures, and power draw, and a frametime data logger that records execution speed to disk for later benchmarking and analysis. Users can modify the overlay display, visual styles, and active metrics through configuration files, environment variables, or predefined pe

This project is a comprehensive educational resource and programming course covering C++ language semantics and features from C++03 through C++26. It provides structured tutorials and technical guides focused on modern C++ development. The material offers specialized instruction on template metaprogramming, including the use of type traits and compile-time computations. It features detailed guides on concurrency and parallelism for multi-core execution, as well as a reference for software design applying SOLID principles and RAII. Additionally, it covers build performance optimization to redu

Pinpoint is a distributed application performance monitoring and tracing system. It functions as an application performance monitor and topology visualizer designed to analyze the execution behavior of large-scale distributed applications. The system uses bytecode instrumentation to monitor applications without requiring changes to the original source code. It captures call stacks and request flows across interconnected services to visualize system dependencies and generate real-time architectural maps of communication patterns. The platform covers a broad range of observability capabilities

Booster is an Android app build optimizer and bytecode manipulator designed to reduce binary size, fix system-level crashes, and improve application performance. It functions as an extensible build process plugin that modifies compiled class files and build artifacts to inject stability fixes and optimizations without altering the original source code. The project differentiates itself through low-level bytecode manipulation to patch OS-level bugs and manage thread pools during the compilation phase. It also provides a performance profiling toolkit to identify main-thread blocking operations

This project is a technical reference and a collection of internal analysis notes focused on the Go language runtime and compiler. It provides a detailed breakdown of the language internals, covering memory management, garbage collection, and the execution model of the scheduler. The material distinguishes itself by providing deep dives into low-level system details, including a reference for Go assembly instructions, register usage, and system call interfacing. It specifically analyzes the internal implementation of concurrency primitives, such as the goroutine scheduling mechanism, channel

Firefox is a cross-platform web browser engine designed to render web content, execute JavaScript, and manage secure browsing sessions. It utilizes a multi-process isolation architecture that distributes browser tasks across independent operating system processes to ensure stability and prevent site-specific failures from impacting the entire application. The engine incorporates a sandboxed execution environment to restrict web content and untrusted scripts to isolated memory compartments, enforcing security policies that prevent unauthorized access to system resources. The project distinguis

This project is a collection of guidelines and best practices for the Go programming language, providing a comprehensive style guide and set of programming standards. It establishes a framework for writing maintainable and performant source code through standardized naming, structuring, and organizational conventions. The guide focuses on specific patterns for concurrency, error handling, and performance optimization. It details methods for managing goroutine lifecycles to prevent race conditions, designing structured error wrapping and routing to maintain observability, and implementing memo

Samply is a cross-platform CPU sampling profiler and performance analysis utility. It consists of a command-line tool for recording process stack traces at regular intervals and a visual interface for analyzing the resulting execution data. The system includes a debug symbol resolver that maps raw memory addresses to human-readable function names using local or remote symbol information. It transforms recorded execution data into flame graphs and timelines to pinpoint function-level hotspots. The tool provides capabilities for CPU execution recording, stack unwinding, and symbol resolution a

Async-profiler is a sampling profiler for Java applications that tracks CPU time and stack traces across execution frames to identify performance bottlenecks. It is designed to capture profiling data without introducing timing bias. The project provides capabilities for JVM memory analysis to locate native and heap allocation hotspots and memory leaks. It also includes system contention analysis to identify resource bottlenecks through the tracking of contended locks and hardware performance counters. The tool converts raw profiling data into visual performance reports, including interactive

This project is a high-performance JSON library for Go, serving as a replacement for the standard encoding/json package. It provides a serialization engine for encoding and decoding data structures, alongside a schemaless parser for extracting specific values from JSON blobs using paths. The library distinguishes itself through a focus on reducing CPU and memory overhead. It implements a high-performance encoder that utilizes buffer reuse and reduced float precision to increase data throughput. Broad capability areas include data serialization, high-performance JSON processing, and schema-le

go-tools is a collection of utilities for Go static analysis and memory layout optimization. It provides a toolset designed to analyze source code to detect bugs and dead code, alongside specialized tools for optimizing how structs are arranged in memory. The project includes a memory alignment visualizer to display physical memory layouts and padding, as well as a struct layout optimizer that reorders fields to minimize memory padding. Additionally, it provides a boilerplate generator to automate the creation of registration and test files required for developing custom Go analyzers. The to

golang101 is a comprehensive Go programming knowledge base and technical reference library. It provides structured guides and documentation covering Go syntax, runtime behavior, and idiomatic coding patterns. The project serves as a dedicated guide for performance optimization, offering technical strategies to reduce memory allocations, improve garbage collection, and increase execution speed. It also focuses on the Go type system, including generic programming and concurrent synchronization techniques. The library encompasses broader capabilities for language learning, including the study o

Easy Profiler is a performance profiling library for C++ applications designed to measure execution duration and identify bottlenecks. It provides a framework for instrumenting code blocks to track performance metrics, allowing for the analysis of thread activity and system behavior through detailed timeline visualization. The library distinguishes itself by utilizing scope-based instrumentation to automatically track code lifecycles, minimizing manual overhead. It employs thread-local buffering and asynchronous data flushing to reduce synchronization contention, ensuring that performance dat

This project serves as an educational resource for learning and implementing low-level assembly language optimizations. It provides a structured guide for developers to master hardware-specific instructions and manual performance tuning, focusing on the translation of high-level code into efficient machine-level operations for resource-constrained environments. The materials emphasize techniques for maximizing computational throughput in multimedia processing. By covering instruction-level parallelism, register management, and data parallelism, the project enables the development of software

React Scan is a diagnostic utility and performance auditor designed to monitor the rendering lifecycle of components within user interfaces. It functions as an automated analysis tool that tracks component re-render cycles and execution timing to identify performance bottlenecks in real time. The tool distinguishes itself by providing visual feedback through a persistent overlay injected directly into the application. By instrumenting the reconciliation process and observing component state and props, it highlights specific rendering patterns that contribute to performance degradation. This

Tracy is a real-time performance profiling framework for C and C++ applications. It provides a software instrumentation library that captures high-resolution telemetry data, which is then visualized through a separate graphical interface to identify bottlenecks and resource allocation issues. The system utilizes a client-server architecture that enables remote profiling, allowing performance data to be captured on a target machine and analyzed on a workstation. It employs lock-free event logging and shared-memory ring buffers to minimize the overhead of data collection, ensuring that the main

Laravel Debugbar is a diagnostic utility and development toolbar designed for the Laravel framework. It functions as an application profiler that monitors runtime performance, memory usage, and database queries to assist in identifying bottlenecks during the development process. The tool integrates directly into the browser, providing a visual interface that displays request data, application state, and performance metrics. By utilizing a collector-based architecture, it aggregates information from various internal framework events and middleware, allowing developers to inspect the applicatio