A curated collection of resources for learning and researching web performance optimization, covering architecture, metrics, tools, and case studies.
Web Performance Research is a curated repository of educational resources focused on web performance optimization. It compiles articles, videos, case studies, and tools to help developers understand and improve website speed, Core Web Vitals, and user experience. The project serves as a learning hub rather than a software tool.
Frontend developers, performance engineers, and technical leads who want to systematically study web performance optimization techniques and industry best practices.
It provides a centralized, well-organized collection of high-quality resources from industry experts, saving time compared to scattered research. The repository is continuously updated with practical case studies and emerging techniques.
⚡️ Web Performance Research
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Resources are meticulously organized into 20+ sections like Architecture, Core Web Vitals, and Case Studies, enabling systematic exploration of all performance facets from fundamentals to advanced techniques.
Includes articles, videos, podcasts, books, and tools from industry experts (e.g., Google Chrome Developers, Netflix), catering to varied learning preferences and allowing both quick overviews and deep dives.
Features in-depth analyses from companies like Airbnb, Spotify, and Wikipedia, showing practical performance improvements and business impacts, which helps bridge theory and implementation.
Covers performance auditing tools (e.g., Lighthouse, WebPageTest), benchmarking techniques, and monitoring best practices, providing actionable steps for measuring and optimizing metrics.
As a static collection of links, it lacks interactive code examples, hands-on exercises, or sandbox environments, requiring users to seek out practical application elsewhere.
Maintained by a single curator without guaranteed update frequency, so resources may become outdated or broken over time, especially with fast-evolving web standards.
Reflects the personal research journey of the curator, potentially missing niche performance areas, alternative expert opinions, or newer frameworks beyond the listed ones like React.