SAP SuccessFactors Learning, a core component of the HCM suite, faces significant challengeswith its current HTTP session persistence model, which relies on HANA DB. This approachgenerates approximately 2.4 million daily SQL queries, leading to high CPU and I/O overhead,increased latency, and scalability limitations. Furthermore, during node failures, sessioncontinuity can be disrupted, impacting user experience and requiring costly database operations torecover.To address these challenges, this paper proposes transitioning session persistence from HANA DBto Redis, an in-memory data store known for its low-latency operations and scalability. Redis’key-value structure efficiently manages session objects, supports automated expiration, and offershigh availability through clustering. Preliminary benchmarks indicate a potential 30–40%reduction in database resource usage and a 20–25% improvement in application latency underhigh traffic scenarios.By offloading session management to Redis, SAP SuccessFactors Learning can achieve enhancedscalability, reliability, and cost efficiency, aligning with enterprise goals. This researchdemonstrates how Redis can transform session persistence in large-scale distributed systems