As infrastructure scales, storage inefficiencies can quietly drain performance and drive up costs, often without clear warning signs. Identifying and addressing these inefficiencies requires a combination of operational insight, performance analysis, and cost-aware decision-making.

In this talk, we'll explore how to recognize storage bottlenecks, analyze their impact, and implement solutions that improve both efficiency and budget. Using our work on OpenShift’s container image storage as a case study, we'll walk through how we diagnosed issues with S3 multipart uploads, optimized performance by enforcing consistency, and evaluated alternative storage strategies for long-term cost savings.

Attendees will gain a practical framework for assessing their own storage architecture, with actionable steps to improve performance and reduce costs. Whether you're managing container registries, cloud storage, or large-scale CI/CD systems, this session will equip you with the tools to make data-driven improvements to your storage infrastructure.