Grepr offers a unique solution for managing observability data by storing all incoming data in low-cost storage and using machine learning to filter out noise, forwarding only unique or summarized information to observability platforms. Engineers can query retained data on their familiar tools like DataDog, Splunk, or New Relic. Additionally Grepr can generate reports, power AI engines, or trigger dynamic backfill during incident investigations. The backfill feature allows engineers to “rewind” observability data for deeper insights using their existing workflows and tools. Backfill jobs can be initiated automatically through webhooks when alerts are triggered or manually via the Grepr interface, making it easy to access and utilize detailed historical data when needed. To explore how Grepr can reduce observability costs while improving incident response, visit grepr.ai or request a demo.