Introducing BARE, a new binary encoding format designed to create compact, efficient stateless tokens for APIs and web services.
A guide to using React.memo to prevent unnecessary component re-renders in React applications, improving performance.
Benchmark analysis shows async Python web frameworks often have worse throughput and higher latency variance than synchronous alternatives under realistic conditions.
Explains the security and performance risks of using target=_blank links without rel="noopener" and provides the simple fix.
A guide on using Lighthouse CLI to block third-party domains like ads and analytics for accurate performance measurement.
Chromium 84 introduces new Web Animations API features like promise-based orchestration, performance improvements, and composite modes for smoother effects.
Analyzes limitations of SQL Server's Resource Governor IOPS_PER_VOLUME for I/O throttling in complex storage setups, like Azure VMs with multiple drives.
A developer discusses the importance of computer specs, criticizing cheap Windows machines with low RAM and advocating for better hardware.
A technical case study on A/B testing the instant.page prefetching library using Netlify's split testing and SpeedCurve for performance measurement.
Explains how to check if .NET Core GC verbose events are enabled on a live Linux server without using a debugger, by reading process memory.
A list of critical C# performance pitfalls and code patterns to avoid, drawn from real-world production issues at Criteo.
Explains the Global VM Lock (GVL) in Ruby, its impact on concurrency and scaling, and how to optimize applications like Sidekiq and Puma.
An interview discussing Python performance, profiling, optimization, the GIL, and related technical topics.
Learn how to use Django Debug Toolbar to identify and fix slow database queries in your Django application views.
Explains when and why to use React's useCallback hook for performance optimization, debunking common overuse misconceptions.
Explains static site generators (SSGs), their benefits for speed and security, and contrasts them with dynamic websites.
Explains the limits of function inlining in Go, including the inlining budget and trade-offs between binary size and performance.
Explains .NET ThreadPool starvation, how synchronous waiting on async tasks causes it, and why queuing exacerbates the problem.
Analysis of how JavaScript frameworks impact website performance, referencing Tim Kadlec's detailed research on the topic.
How to handle slow Django views by offloading long-running tasks using Django Q for background processing.
