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Grepr reduces observability spend by seamlessly integrating an Observability Data Lake. Combining stateful stream processing and real-time machine learning, Grepr automatically reduces noise and ensures the right data is in the right place at the right time. Machine learning to separate signal from noise, manage observability data, and reduce spend by 90% without migrations.