Logs play a crucial role in IT by recording events and helping engineers understand when, where, and why these events occurred. However, due to the increasing volume of data and the high cost of retention, organizations face challenges in deciding what data to keep and for how long. A common solution is a hybrid retention model that includes a short "hot" period for searchable data and a longer "cold" period for archived data, often using cost-effective storage solutions like Amazon S3. Logz.io facilitates this process with its Archive/Restore feature, which allows users to archive data to S3 and later reingest it for analysis via a user-friendly interface. This feature supports cost-efficient data management by enabling users to balance the need for data accessibility with storage costs. Logz.io also offers a Data Optimizer to help manage retention by allowing aggregation of data into accounts without retention limits. The platform emphasizes ease of use and integration, encouraging user feedback to enhance its services.