Bookmarks with tag "performance", page 2 of 4
Optimization isn't always about multi-threading and optimizing hardware utilization. in fact, most performance work is about simply doing less
Open-source load testing tool.
Map-like, concurrent promise processing.
Richard Schneeman explains how Ruby uses memory, running through various examples and methods. This information is something every Ruby dev should know.
A transparent and streamlined modification of Windows. Designed to maximize your system's performance and optimize latency.
Qwik is a new kind of web framework that can deliver instant loading web applications at any size or complexity. Your sites and apps can boot with about 1kb of JS (regardless of application complexity), and achieve consistent performance at scale.
React components for efficiently rendering large lists and tabular data.
This article talks about two important techniques, Debouncing and Throttling, to enhance your website performance. Learn both concepts with real-life examples.
Visualizing and understanding your PostgreSQL execution plans made easy.
Samples of b-tree, GIN, and GIST indexes for Postgres beginners.
A low code optimization.
In this post, we will discuss how to make HTTP requests for higher performance in Go, and also how to tune it.
This article gives a brief introduction to EXPLAIN ANALYZE, explains what to look for and shows some helpful tools to visualize the output.
Cut your Docker build times by half by leveraging the power BuildKit and buildx on a GitHub Action runner. Enable Docker layer caching for your production builds and save time and money. See full YAML example for a production build of a Rails application.
Performance is critical to success, and caching is one basic tool for improving it. Learn all about caching with NGINX and NGINX Plus.
Learn about smaller indexes with B-Tree Deduplication, Extended Statistics Improvements, Parallel VACUUM, improved WAL Usage Stats in Postgres 13, and more.