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The order management and logistics platforms used by enterprises require continuous availability, but the conventional migration of the Oracle database schema creates extended service interruptions that do not coincide with the current business continuity demands. This article records the experience of scaling down the Oracle database deployment time lag from an alarming starting estimate to virtually zero by technical optimization and architectural evolution. The article started with a release management dry run that showed that there was a multi-day downtime need that was far beyond acceptability limits and posed a threat to order processing, forward logistics, and reverse logistics pipelines. The deployment window was shortened out of successive stages of Oracle database performance tuning, deployment process parallelization, sophisticated schema and transaction commit optimization, strategic scaling of infrastructure to higher-capacity processors, and, finally, the adoption of Oracle Edition-Based Redefinition, a potential breakthrough for near-zero downtime. Edition-Based Redefinition turned out to be the key enabling factor, enabling pre-upgrade and post-upgrade versions of applications to live in the same schema at the same time, and the cutover operation has been reduced to an instant metadata switch. The confidence to validate the solution before the production deployment was given by a predictive performance model that was calibrated using dry runs on a non-production environment and production telemetry. The article was a repeatable, near-zero downtime deployment model of all key Oracle-based services, which directly supported the larger "Always-On" availability program of the enterprise and provided a new standard of service resilience in large transactional settings.