adamsitnik/awesome-dot-net-performance

A curated list of awesome .NET Performance books, courses, trainings, conference talks, blogs and most inspiring open source contributors. Inspired by...

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adamsitnik/awesome-dot-net-performance has 3k+ stars and 250+ forks on GitHub and was last pushed on Apr 27, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 1 hour ago
Type:Curated List / Learning ResourceCategory(s):Cheatsheets, Checklists & Best PracticesLearning & Resources
Added to GitGenius on September 21st, 2026
Created on September 7th, 2016
Open Issues & Pull Requests: 7 (+0)
GitHub issues: Enabled
Number of forks: 286
Total Stargazers: 3,290 (+0)
Total Subscribers: 253 (+0)

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Detailed Description

Awesome .NET Performance is a curated list resource that aggregates books, courses, trainings, conference talks, blogs, and open source contributors focused on .NET performance optimization.

The resource addresses the challenge of finding quality learning materials and expert guidance on .NET performance work. Rather than providing tools or libraries, it functions as a discovery mechanism by organizing performance-related educational content and identifying influential contributors in the .NET ecosystem. The list spans multiple formats including published books on topics like memory management, benchmarking, and asynchronous programming; video courses; on-site trainings; conference talks; and blog resources. It also indexes performance tools and article series organized by specialty areas such as monitoring, debugging, JIT optimizations, threading, memory management, and CPU intrinsics.

Developers should adopt this resource when building knowledge about .NET performance or seeking authoritative sources on specific performance topics. It suits teams ramping up on performance optimization, individuals preparing for performance-critical projects, and engineers looking to deepen expertise in areas like memory management or benchmarking. The list is particularly valuable for discovering both foundational materials and advanced specialized content without needing to search broadly across the internet.

The project maintains an organized, categorized structure that makes navigation straightforward across distinct performance domains. The curation approach ensures that listed resources meet quality standards rather than including everything available. The resource includes both established materials and references to ongoing community contributions, reflecting an effort to capture both stable knowledge and evolving practices in the .NET performance space.