Datadog has introduced the capability to ingest historical metric values for custom metrics, allowing users to submit data with timestamps older than one hour, which can be crucial for long-term data analysis and various use cases such as outage recovery and data science. This feature enables businesses to backfill data during network outages, correct erroneous metrics, and ensure comprehensive monitoring without gaps. Users can configure historical metrics ingestion either for individual metrics or in bulk for multiple metrics sharing a common namespace. The Metrics Summary page in Datadog now includes tools to track and manage historical metrics usage, including a facet box for filtering metrics by their ingestion status and a dedicated metric for monitoring historical metrics configuration. This enhancement supports maintaining compliance with real-time analytics requirements by alerting users to delays in metric emissions and facilitating prompt troubleshooting and remediation. Datadog's historical metrics ingestion feature is accessible to all users, with options to explore further through documentation or a 14-day free trial for new users.