![]() Let's talk in more detail about all the above aspects. ImageKit offers integration with all popular CDNs i.e, Akamai, CloudFlare, Fastly, Azure, Google CDN, Alibaba Cloud CDN, Zenedge, and Limelight. However, in case you are in a multi-year contract with the current CDN vendor, you have the option to integrate ImageKit with your current CDN. ImageKit uses AWS Cloudfront, global CDN with more than 200 nodes spread across the world. Optionally use existing CDN instead of ImageKit's.Later on, leverage real-time image transformation to implement responsive images. ![]() With an option of using custom a domain name, start delivering optimized images through ImageKit with a single DNS change. Serve optimized images in WebP or AVIF format without changing image URL. Image optimization without any URL change.You don't have to upload images to third-party service. Native secure integration with existing storage.This post, will cover, how ImageKit.io, a flexible image CDN, can nicely fit within your existing stack. ![]() In-depth details about the inner workings of image CDN are beyond this article's scope you can learn more in this guide. The three components of an Image CDN, taking ImageKit.io as an example Let's get you familiar with the image CDNs.Īn image CDN is essentially a single service that combines the above three components. If the above setup sounds familiar and you want to streamline image workflow, starting from image storage till users see them on their device, this post is for you. ![]() Or leveraging some real-time image manipulation service/library.ĭelivering all static assets through a global CDN provides a faster and engaging user experience. Generating right dimension variant & optimizing images before storing. Storing images on the webserver or in an object storage service like Amazon S3, Google Cloud Storage, Firebase, Ali storage, or other S3-compatible storages. If you have been running a high-traffic e-commerce or media website for some time, the chances are that you deal with hundred of thousands of images or even millions.Īlso, it would be safe to assume that your current infrastructure supports the following operations, at least to some extent: ![]()
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