Case Study: Amplframe achieves 66% faster page loads, 37% higher engagement and lower costs with Amazon Web Services

Enhancing Photo Analytics Using AWS

Amplframe, founded in 2016 in Taiwan, is a photography community where users list and explore lenses and upload photos categorized by lens type. Faced with growing demand—about 18,000 visits over seven months—the company needed better photo analytics, faster page loads, scalable handling of traffic spikes, and lower IT and development costs.

By adopting AWS services—Amazon Rekognition for image analysis, Amazon CloudFront for content delivery, and Amazon EC2 and Amazon RDS for scalable compute and databases—Amplframe cut webpage loading time by 66%, increased average engagement by 37%, reduced monthly IT production costs by NT$180K, shortened server development time from one month to 30 minutes, and gained the ability to handle sudden traffic spikes.

Amplframe