To grow global, every online retailer needs globally scalable technology stack. This case study reveals how GlobalDots geared UK-based fashion retailer END. Clothing with the latest innovation from established and rising vendors: CDN, image optimization and security solutions.

As a result, END. greatly improved its website performance and global presence, while lowering eCommerce TCO. The financial impact was overwhelming: 45% turnover growth in one year.

Read the full case study to learn:

  • END.’s challenges as it sought global growth
  • Solutions implemented by GlobalDots
  • Financial impact by numbers

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Innovation for Global Scaling: The END. Case Study
Content Delivery Network (CDN)
Dr. Eduardo Rocha, Senior Solutions Engineer & Security Analyst @ GlobalDots 20.12.21

How to Go Global when You Are Unscalable? END. Clothing is a UK-based, eCommerce-native fashion retailer. It brings both established & young, cutting-edge luxury brands under one roof, with a specialty of limited-edition items. With fashion becoming more and more digitized over the last decade, END.’s traffic was growing quickly, both in volume and geo […]

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An expert’s analysis: Here’s what we need to build a better IoT
Content Delivery Network (CDN) DDoS Protection
Dr. Eduardo Rocha, Senior Solutions Engineer & Security Analyst @ GlobalDots 28.02.23

Eduardo Rocha, Senior Solutions Engineer at GlobalDots, contributed a guest post to BuiltIn, the online community for startups and tech companies.  In the article, he outlined his approach for creating an IoT infrastructure that is both durable and secure. Here are some of the main takeaways: 1. The IoT industry has seen a steady growth over the past […]

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Content Delivery Network (CDN)
Dr. Eduardo Rocha, Senior Solutions Engineer & Security Analyst @ GlobalDots 04.01.23

A Content Delivery Network (CDN) is a globally distributed network of web servers or Points of Presence (PoP) whose purpose is to provide faster content delivery. The content is replicated and stored throughout the CDN so the user can access the data that is stored at a location that is geographically closest to the user. […]

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