Analysis

Performance testing images from a customer perspective

Recently we moved Net-A-Porter to use a dynamic product image service created by our Product Management team. Not only will it allow us to improve our customer experience but it will decrease the time to get products to market.

MRP (Mr Porter) and TON (The Outnet) had already implemented the system but at NAP (Net-A-Porter) we were waiting for a few additional features, and also see how it handled the other brands.

Previously NAP had all of the image assets mounted to the web servers with a CDN sat in front, allowing for them to be served extremely quickly. We wanted to make sure that the service creating and storing the images for us wouldn’t degrade performance for our customers.

We wanted to be able to collect performance metrics to compare NAP image performance to the other brands. I created a simple tool to test different image requests in bulk and collect the average response time.

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Analysis

Adventures in San Francisco – part three, an introduction and a talk with keen.io

Following on from my earlier visits to Sauce and the Googleplex, before attending Google I/O 2016 I took the time to visit Keen IO.

Keen IO

If you don’t know about Keen, they are an awesome platform, providing analytics for developers. In this post, I’ll show you a couple of ways we’ve used Keen IO, as well as bringing you video of the talk I gave about it during my visit to Google I/O 2016.

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