Creating a High-Performance Image Resizer Proxy as a Dockerized Go Microservice

Creating a High-Performance Image Resizer Proxy as a Dockerized Go Microservice

While working on applications that process a large number of images, we often come across the requirement to resize images for different resolutions. An image generated by a typical 12MP mobile phone camera can be 5MB-12MB depending on the quality of the image. Once uploaded, the image must be optimized for different devices. As you know, image resizing is a complex mathematical process. The performance and quality of the optimized image really depend on the efficiency of the algorithms used. 

Let me walk you through a high-performance solution for image resizing. We will implement the solution using libvips, a fast open-source image processing library, along with Golang and expose the resize functionality via a proxy server. With even 20% resource usage improvement per image, it can make a world of difference when scaling up to millions.

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