Case Study
Quantive's platform sits in the critical path of every ad request our publishers make. Every bid, floor calculation, and demand decision has to happen in the few milliseconds before an impression renders. As our network grew toward tens of billions of daily requests, our infrastructure started showing its limits.
Latency spikes during peak hours, uneven scaling across regions, and rising compute costs were all making it harder to deliver the consistent, real-time performance our optimization engine depends on. We needed an infrastructure foundation that could scale elastically with traffic without sacrificing speed or reliability.
After evaluating several cloud providers, we migrated our core serving infrastructure to Oracle Cloud Infrastructure (OCI). A few factors made the difference for a workload like ours:
Kept tail latency predictable even under heavy, bursty load. critical for real-time bidding at scale.
Bandwidth costs matter enormously when you're moving billions of requests a day. OCI's pricing model made the economics work.
Reduced jitter between our services and bidding partners, improving consistency across every auction.
Let us place compute closer to our publishers and demand partners, cutting round-trip times for globally distributed traffic.
We treated the migration as an opportunity to re-architect from the ground up. The work happened in three phases:
We containerized our serving stack and rebuilt autoscaling around real-time request volume rather than fixed capacity.
Requests are now routed to the nearest healthy region, cutting round-trip times for globally distributed traffic.
We shifted traffic gradually with shadow testing and progressive rollout, so publishers saw no disruption during the transition.
By moving to OCI and re-architecting around it, we achieved a 40% improvement in overall platform performance. Our infrastructure now comfortably scales to 95 billion ad requests per day, with headroom to spare during peak events.
Faster responses mean we participate in more auctions before they time out. Reliable scaling means consistent performance during the traffic surges that come with big events. And a more efficient infrastructure means we can keep investing in the AI that drives our optimization, rather than in raw compute overhead.
The OCI migration is a foundation, not a finish line. It gives us the room to keep growing our network while holding the line on the sub-100ms performance our publishers count on.
""Migrating to OCI let us stop worrying about whether the infrastructure could keep up, and focus entirely on making smarter monetization decisions. Faster responses, massive scale, and lower cost - all at once."
— Quantive Engineering Team