In this session, we will explore the critical strategies for optimizing mapping configurations to achieve a significant reduction in storage costs for your logging workload. As organizations generate vast amounts of log data, managing storage efficiently becomes a top priority. We will delve into the best practices for configuring index mappings to minimize storage requirements without compromising the integrity and accessibility of log data. By implementing these optimizations, participants will learn how to reduce their storage costs by up to 50%. We will cover techniques such as filtering out noisy logs, utilizing data optimization hubs to identify and trim excess log volume, and applying advanced compression settings. Through practical examples and real-world case studies, attendees will gain actionable insights into configuring their logging workloads for maximum storage efficiency and cost savings.