Managing data pipeline costs is a major concern for organizations handling growing volumes of telemetry, logs, metrics, and traces. As data increases, expenses related to compute, storage, tooling, and engineering labor rise as well. With the right strategies, teams can reduce pipeline spending without compromising data quality or operations.