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April 23, 2018
As data scientists, we face a variety of problem types. One of our critical challenges is identifying the proper methodological approach to solve each problem. By doing this, we avoid force-fitting the wrong tool to solve a problem, and we avoid having to reformulate a question to fit a specific method.
April 17, 2018
As Wayfair has grown and matured its software development and data center operations over the past decade, and particularly over the last five years, we have embraced the principle of providing maximum visibility into our processes and systems. The result is a very large logging and time series infrastructure built to receive a constant stream of application logs and metrics. Our logging infrastructure, built on the Elasticsearch stack, has benefited from continuous improvements from the Elastic company, as well as other resources such as consulting, training, and books. However, Graphite, our time series solution, has been more or less a self-supported system.
April 10, 2018
As Wayfair’s business has scaled, so too has the size of our engineering teams – not to mention the complexity of the software features we’re building. At the same time, moving quickly in the global tech landscape has never mattered more. As a modern tech company, one simply cannot afford to slow down the rate of feature delivery.
March 7, 2018
At Wayfair, we’re keen to research, innovate, and invest in new technologies whenever the opportunity arises. There are obvious advantages to this approach for our iOS teams in particular: It allows us to keep up to date with current developments and be prepared for potential API updates. This is particularly important for the Apple ecosystem, where technology changes every year bringing about newer and more reliable APIs for developers and users alike.
February 20, 2018
Right now, Wayfair has about 86,000 rugs available for purchase. On the first page of our rug category page, however, we only have room for the top 48. You see even fewer if you don’t happen to scroll or swipe down. When it comes to our customer’s experience, what we choose to place at the top makes a big difference! At present, we don’t explicitly showcase a diverse array of products. On browse pages for categories such as rugs, couches, or coffee tables, we instead combine personalized recommendations with the general popularity of products.
February 13, 2018
Early in 2017, Wayfair made the decision to adopt React as our primary frontend framework of choice. Rather than cover the reasons why we chose React, more interestingly, we'd like to focus on some of the architecture challenges we faced during the conversion.
January 11, 2018
Here at Wayfair, we believe complexity theory to be valuable and quite helpful in terms of data center builds. In particular, there are certain ways we can use this theorem to prevent outages in the future. There will forever be unpredictable events – how do we assess their difficulty or state to be better prepared for their arrival?
November 2, 2017
Wayfair offers a zillion things home, with one of the world's largest online selections of furniture, home furnishings, décor and goods, including more than eight million products from over 10,000 suppliers. Wayfair's expanding Visual Search team is leveraging deep learning and our expansive catalog of images to create an exciting new way for shoppers to find the perfect product for their homes.
September 27, 2017
This past weekend, Wayfair hosted the first-ever ReactJS conference on the East Coast. ReactBoston was a two-day whirlwind of talks on everything from the popular and pressing (React Fiber) to the unexpected and astounding (piloting drones with React; that sound you hear is the audience's collective jaw hitting the floor).