Editor’s observe: In the present day, we’re talking with Austin Sheppard, CTO of StubHub, the world’s largest ticket marketplace. We’ll hear how Google Naked Steel Resolution helps StubHub on their journey into the cloud by decreasing their dependency on Oracle, decreasing total prices, and driving efficiency. 

At StubHub, we’ve been on the very forefront of ticket market innovation since 2000. We have been the primary to introduce a ticketing utility, interactive seat mapping, 360-degree digital views of seating, revolutionary value suggestion expertise, and an algorithm for figuring out the most effective worth of tickets—all options which have develop into commonplace.

Ticket marketplaces transcend commonplace ticket gross sales and distribution. They’re within the enterprise of serving to patrons and sellers join in a protected, handy, and dependable atmosphere. And if you serve hundreds of thousands of consumers a yr, knowledge isn’t just an enhancement however one of many major automobiles for unlocking alternatives and offering customized experiences. 

At Stubhub, we’ve been on a journey to maneuver all of our purposes to the cloud and finally retire our knowledge middle. One of the difficult migrations for us was going to be our Oracle databases, which energy our ecommerce platform. We had been migrating the purposes which have a big dependency on Oracle to Google Cloud, however we hadn’t been capable of finding a straightforward method to transferring the Oracle databases as properly. Having Oracle on-premises and enormous chunks of the applying layer within the cloud was inflicting latency points and wasted crew assets to synchronize knowledge between the environments. To fulfill our efficiency necessities, we wanted to have all the knowledge bodily co-located (or near it) with the applying. 

Moreover, our Oracle databases are a legacy holdover and are nonetheless working on Solaris. This has prompted efficiency challenges and it may be arduous to get up-to-date service and upkeep. Our improve cycles require a colossal coordination effort and are tough to do with minimized downtime and buyer impression. We wished to interrupt freed from this cycle and wished an answer that may assist to cut back our dependency on legacy applied sciences reminiscent of Oracle, whereas assembly our efficiency wants, and finally assist to retire the information middle.



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