Notes from a Pinterest performance team talk on building a dedicated team, custom metrics, regression fighting, and optimization strategies.
Exploring machine learning-driven bundling with Guess.js to optimize JavaScript chunk loading and improve SPA performance.
Explains how oversized VARCHAR columns in SQL Server can negatively impact query performance by inflating memory grant requests.
Explains how Tiered JIT Compilation works in .NET Core, a major change allowing methods to be re-compiled for optimization.
An article exploring resource bundling strategies and performance optimization in the era of HTTP/2.
A guide to optimizing Puma, Unicorn, and Passenger Ruby app servers for maximum throughput and resource efficiency.
A V8 developer discusses recent performance improvements in V8 6.3, including work on lazy deoptimization and optimizing Object constructor calls from webpack.
A presentation summary on the latest Xamarin.Forms updates, covering performance improvements like Fast Renderers and Layout Compression.
Strategies for performing safe, low-downtime database migrations in PostgreSQL, focusing on adding columns and creating indexes on large tables.
A technical guide on how to disable Intel Hyper-Threading Technology on Windows Server 2016 instances running on Amazon EC2 for specific performance tuning.
An introduction to CPU branch prediction, explaining its purpose and classic algorithms to understand modern research.
A guide to web performance fundamentals, covering mindset, HTML rendering, and practical optimization techniques for developers.
A guide to implementing efficient batch processing in JPA/Hibernate by managing session cache, transaction size, and data fetching strategies.
A developer investigates and troubleshoots the long startup time of a Spring Boot Java application running on macOS, analyzing logs to find the cause.
How Twitter Lite, a large-scale React PWA, achieved high performance by tackling bottlenecks like code splitting, rendering, and image loading.
Introducing ngrev, a reverse engineering tool for Angular that visualizes project structure to help developers understand and optimize large codebases.
A developer discusses the trade-offs between writing simple, clear code and optimizing for performance, using a real-world example of inefficient vector growth in R.
Argues that web browsers should actively warn against and eventually block performance-harming and inaccessible web development practices.
Explains how the .NET Garbage Collector works and provides techniques to reduce memory allocations for faster applications.
Explains how to use the .NET TryStartNoGCRegion API to prevent garbage collection pauses during critical code execution.
