As data volumes grow rapidly due to the proliferation of microservices and various teams generating high telemetry, managing log data becomes challenging, often leading to unexpected costs and time-consuming log management efforts. Observe offers a solution with Drop Filters, now generally available, which enables users to discard unwanted log lines before they impact data ingest volume, serving as a temporary relief valve while upstream fixes are implemented. Drop Filters can reduce ingest volumes by up to 50%, allowing teams to better manage costs and avoid labor-intensive log tuning. They are easily configured through Observe's user interface or managed via infrastructure-as-code with Terraform, providing real-time metrics on data filtering effectiveness. The tool aims to streamline log management, reduce surprise overage charges, and facilitate smoother cross-team coordination, ultimately helping organizations maintain budget adherence while dealing with the complexities of modern observability data.