In this session, we’ll take the guesswork out of optimizing cloud object storage at scale.

As AI and data-intensive workloads expand, cloud efficiency and engineering teams see storage costs grow exponentially while struggling to pinpoint where waste and unexpected growth are hiding. At scale, the problem compounds: billions of objects, thousands of buckets, and limited visibility into which workloads and teams are driving spend.

FanDuel will share lessons from using Storage Management to optimize Amazon S3 costs as part of a broader data warehouse migration. The team will show how they’ve identified unused data in large buckets, transitioned cold data to lower-cost AWS storage tiers, and detected abnormal storage growth before it affected margins.

Attendees will leave with a practical framework for shifting from reactive cost cleanup to proactive, continuous storage optimization.

This session supports the Scaling Systems theme by showing attendees how they can scale AI and data platforms while keeping storage costs disciplined and aligned to product outcomes.