Editor’s be aware: As we speak, we’re talking with Austin Sheppard, CTO of StubHub, the world’s largest ticket market. We’ll hear how Google Naked Steel Answer helps StubHub on their journey into the cloud by lowering their dependency on Oracle, decreasing general prices, and driving efficiency.
At StubHub, we’ve been on the very forefront of ticket market innovation since 2000. We had been the primary to introduce a ticketing software, interactive seat mapping, 360-degree digital views of seating, modern value advice expertise, and an algorithm for figuring out the perfect worth of tickets—all options which have change into customary.
Ticket marketplaces transcend customary ticket gross sales and distribution. They’re within the enterprise of serving to consumers and sellers join in a protected, handy, and dependable setting. And while you serve tens of millions of consumers a yr, information isn’t just an enhancement however one of many main autos for unlocking alternatives and offering personalised experiences.
At Stubhub, we have now been on a journey to maneuver all of our purposes to the cloud and finally retire our information heart. One of the vital 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 simple method to transferring the Oracle databases as properly. Having Oracle on-premises and enormous chunks of the appliance layer within the cloud was inflicting latency points and wasted staff assets to synchronize information between the environments. To satisfy our efficiency necessities, we would have liked to have all the information bodily co-located (or near it) with the appliance.
Moreover, our Oracle databases are a legacy holdover and are nonetheless working on Solaris. This has brought on efficiency challenges and it may be onerous 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 influence. We wished to interrupt freed from this cycle and wished an answer that may assist to scale back our dependency on legacy applied sciences equivalent to Oracle, whereas assembly our efficiency wants, and finally assist to retire the information heart.