Challenge
Large and unoptimized images were causing high bandwidth consumption and slow loading speeds, negatively impacting user experience and SEO rankings. Many existing solutions required pre-processing images or using inefficient CDNs that stored multiple copies of the same image in different sizes, increasing storage costs and complexity. Additionally, implementing an efficient, scalable, and real-time image optimization solution without compromising quality was a major challenge.
Solution
storing multiple versions of images. Utilizing imgproxy’s URL-based processing, we dynamically generated optimized images in the required dimensions and formats. Key features like automatic format conversion (e.g., WebP), on-demand resizing, smart cropping, and quality adjustments reduced file sizes by up to 70%, significantly improving page load times. The implementation of imgproxy with caching and a content delivery network (CDN) further enhanced performance, ensuring fast and scalable image delivery.
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