Wayfair saves millions, reduces feature deployment and time to market growing their eCommerce success
With the migration to Google Cloud, Wayfair is saving millions of dollars over a multi-year spend. New features can now be released in one day, versus what could often take years.
Pythian’s AI toolkit has lowered the time to value, turning what would have been 46 years of effort down to just months—with a reusable toolkit for future migrations. The toolkit defines code that may be reused or depreciated, allowing Wayfair to rapidly speed up their migration to cloud.
Through a database-as-a-service (DBaaS) platform, developers now have a much faster method of enabling the provisioning of a Spanner instance through a self-service flow. That means they can spend more time working with users and less time on infrastructure management.
To date, more than 16% of customer traffic is now on a replatformed experience, and average speed is 23% faster. The company is also spending 82% less time on major incidents and reduced fraud by 30%. Its net promoter score (NPS) for support increased 28.5% while its tooling NPS increased 41.22% with the use of Google Cloud Databases. In addition, there’s better alignment of systems and data architecture with business reporting goals and governance structures.
Overall, working with Google Cloud and Pythian has helped Wayfair reduce time to market for new use cases, reduce operational overhead, and increase developer velocity—enabling them to scale at the speed of business.
.svg){kind=small}
.svg){kind=small}