
Explore the development of Kestrel, a high-performance cross-platform web server for ASP.NET Core, and learn about optimization techniques for building fast web servers in .NET.

Explore the high-performance Kestrel web server for ASP.NET Core, its architecture, and optimization techniques for building fast web applications.

Explore web service performance optimization through a detective story, uncovering issues in CPU, memory, and IIS using telemetry, profiling, and ASP.NET insights.

Methodically measure and improve .NET garbage collector performance. Learn to identify and fix GC issues, reduce memory traffic, and optimize heap-based designs for better application efficiency.

Explore ETW's powerful diagnostic capabilities for Windows developers, covering CPU, memory, concurrency, and more. Learn to diagnose complex issues and build self-diagnosing applications using innovative performance tools.

Explore the Local GC feature in .NET Core 2.1, enabling custom garbage collection implementation or using default GC outside .NET. Learn the process, benefits, and challenges of creating your own GC.

Dive into memory leak detection and prevention in Node.js applications, exploring diagnostic tools, common causes, and practical solutions for maintaining optimal application performance.

Discover how Zoned Namespace Command Set optimizes SSD performance through reduced write amplification and efficient data management in sequential writes.

Explore innovative techniques for optimizing memory allocation in managed runtimes, combining static analysis with dynamic strategies to enhance performance and reduce garbage collection overhead.

Explore a novel compaction algorithm that reduces heap fragmentation with a single pass, improving efficiency in memory management and garbage collection.

Explore memory management challenges on mobile devices, focusing on Android Runtime. Learn about evaluation methods, benchmarks, and performance impacts in this critical yet understudied area.

Explore a managed memory system for microcontrollers using NOR flash memory, optimizing performance and reducing flash erasures through innovative garbage collection and object movement techniques.

Explore efficient memory management for immutable data structures with cycles using reference counting, combining strongly connected components and union-find algorithms for precise reachability.

Explore non-updateable thunks in Haskell to prevent memory leaks and optimize garbage collection in streaming abstractions and control flow scenarios.

Explore the benefits of combining GNU Guile Lisp and Zig for bioinformatics, offering quick coding and high performance without fighting Rust's borrow checker.

Explore Perceus algorithm implementation in OCaml, comparing its performance with standard garbage collection. Learn about precise reference counting and its potential benefits.

Explore OCaml to WebAssembly compilation, addressing challenges and strategies for garbage-collected languages. Learn about Wasocaml compiler, value representation, and future plans for FFIs and effects handlers.

Discover the latest developments from the OTP Team, exploring their recent work and future plans in Erlang/OTP.

Optimize Go functions for peak performance through advanced techniques and best practices. Enhance code efficiency and speed.

Explore Python's memory management, PEP 683's origins, and its impact on future developments like GIL changes and true parallelism. Gain insights into optimizing large-scale applications.

Explore Python memory management, analyze usage, and learn optimization techniques for efficient, memory-conscious coding as applications scale and complexity grows.