Datadog Observability Pipelines has introduced metric support, currently in Preview, offering organizations a unified platform to manage telemetry data governance for both logs and metrics, addressing challenges like separate tools, inconsistent tags, and high costs from low-value logs. This update allows teams to control ingestion costs by applying consistent tag policies and filtering out unnecessary or malformed metrics. The integration with existing tools, such as the Datadog Agent and OpenTelemetry Collector, ensures seamless governance without requiring new tools or workflows. It provides granular control over metrics, enabling the definition of rules for inclusion and exclusion based on names or tag patterns, thereby simplifying operational processes and improving data quality and consistency. Additionally, built-in diagnostics offer insights into pipeline health, allowing teams to monitor and verify pipeline operations effectively. This consolidated approach reduces tool sprawl, enhances data consistency, and provides a more reliable foundation for observability across various environments.