Logz.io's Data Optimizer, introduced in November 2017, is a tool designed to help organizations reduce costs in the log analysis industry by allowing them to customize data retention based on importance and granularity. By employing "Optimizers," which are aggregation rules, users can summarize data and store key metrics in "Timeless Accounts," effectively reducing log sizes and storage costs. A practical application of this tool is demonstrated through the analysis of Amazon Elastic Load Balancers (ELB) access logs, where specific metrics like backend processing time are aggregated for extended retention, allowing for efficient monitoring and analysis. The flexibility offered by the Data Optimizer enables organizations to retain only essential log data, addressing the issue of escalating costs associated with traditional, rigid log retention models.