The Data Optimization Hub, part of the Open 360™ platform, is designed to help users reduce observability costs by inventorying incoming telemetry data and providing tools to filter out unnecessary information. Observability costs are a significant expense for many engineering teams, often second only to cloud computing costs, as data volumes increase with larger workloads. The Data Optimization Hub addresses this by allowing users to manage logs, metrics, and traces more efficiently through a unified interface, where they can filter, manipulate, or convert data, such as transforming logs into LogMetrics for cost-effective visualization. This approach helps users proactively reduce data volumes and associated costs, with many clients seeing a reduction of about a third in their data volumes. Unlike manual methods offered by other vendors, the Data Optimization Hub is designed to be easy, fast, and intuitive, making it an attractive solution for reducing unnecessary observability data without compromising on essential insights.