113 results for “topic:performance-engineering”
Coz: Causal Profiling
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
Performance monitoring and benchmarking suite
A code analyzer for Julia. No need for additional type annotations.
An operator for running distributed k6 tests.
MLOS is a project to enable autotuning for systems.
A curated collection of publicly available resources on how companies around the world perform load testing
A fully functional browser-based OS simulation with a custom window manager. Engineered to host nested applications and ranked as a top 100 all-time project on Hacker News.
An application-agnostic framework for automated performance testing and analysis.
Julia wrapper for the performance monitoring and benchmarking suite LIKWID.
Experiment tracker: organize, visualize, compare and share runs. Removes toil from algorithm/performance R&D and tuning.
A component render time benchmarking suite for React
🦗 Learn Locust from scratch 🐍
🔎 Rust TUI that finds & AI-fixes Lighthouse image issues (CLS, lazy loading, WebP, srcset) across your entire codebase in seconds.
Learn k6 Series
⚡ JEval helps you to evaluate your JMeter test plan and provides recommendation before you start your performance testing. All contributions welcome 🙏.
An open-source expert system for automated end-to-end objective-driven performance testing and performance insights.
AEM JMeter template is a predefined, AEM web appliactions Test Plan template, ready to use.
🛠 Curated list of Performance Testing Tools ⚡ All contributions are welcome 💜
A curated, opinionated collection of tools and resources dedicated to Performance Engineering, covering both Observability and Performance Testing.
❓ List of performance engineering questions for performance engineers.
Practice LoadRunner Exercises
Nim Wrapper For Coz Profiler
Cycle-level, trace-driven, parallel GPU simulator for NVIDIA Pascal.
🦃 Black Friday Performance Testing Experiment 🙏
📄 Sample performance test report
Run your JMeter load tests without installing JMeter in your local inside Docker Desktop using this awesome extension.
Sparse Matrix and Tensor Visualization Tool for Reorderings
This video series aims to explain various performance issues such as memory, cpu, threads etc and how to identify them by simulating using the BuggyApp.
A developer oriented Neovim framework for CUDA performance profiling and analysis.