As part of an expanding digital analytics roadmap, a data-driven enterprise scaled its platform to manage over 200 distinct daily pipelines. However, this growth introduced severe budget strain, as the platform relied on rigid, high-cost computing instances that processed complete historical data sets every single day regardless of actual changes. Leadership needed to slash these spiraling cloud costs without compromising production data reliability. The central challenge lay in modernizing the infrastructure to leverage low-cost, interruptible computing across non-production environments while safely reserving stable, guaranteed compute resources for critical workloads, all without disrupting operational business workflows.
