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Introduction imgproxy is an efficient image processing and optimization service, featuring fast processing speeds, high security and low memory footprints because it is written in Go. The prominent advantages of imgproxy include the ability to resize, crop, compress and flexibly convert image formats (such as to WebP, AVIF) via URL. Notably, this service supports secure URL signing using HMAC encryption, which prevents DDoS attacks or unauthorized modifications of image size parameters from the client side. Although the NextJS Image component already supports automatic image resizing, it presents several limitations if you choose it for large-scale deployment Resized images stored in the cache of the .next folder only exist within a single NextJS server instance, making it difficult to share the cache when scaling up to multiple instances After building the project, the cache data is lost, or if you find a way to persist these resized images, a large dataset will still consume too much...

Introduction In the previous article, I guided you on how to use D3 and Canvas to Visualize Data. Now we will continue to dive deeper to understand some solutions that help optimize performance, aiming for a State-of-the-art" approach for building Real-time Data Visualization on the Web today. Some techniques I will apply to optimize performance are as follows: Data Buffering (Data Layer Throttling): utilizing requestAnimationFrame to ensure smooth processing and rendering according to the screen refresh rate, such as 60Hz or 120Hz. Utilizing Context Alpha Optimization: getContext('2d', { alpha: false }). When you turn off the alpha channel (transparency), the GPU will not have to calculate color blending with elements behind the canvas, significantly reducing the load on the graphics chip. Offscreen Canvas: Using an implicit Canvas to calculate beforehand before pushing to the main screen. The issue with drawing directly on the Canvas is that if you have to draw too much,...