Reduce observability costs by 90%

No migration. One line config change.


ML-powered Intelligent Observability Data Lake

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.

It took 20 minutes to set Grepr up, and we immediately saw a 98% drop in log volumes in production! Grepr was the fastest and easiest way for us to get there, and it saved our engineers hours trying to figure out how to do it. Excited to see where Grepr goes next!
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Paymahn Moghadasian
Lead Engineer at Goldsky

How Grepr works

Grepr is a next-gen observability data engine that routes and transforms data between sources and sinks. We use cutting edge real-time machine learning to summarize data and increase SNR, while reducing total costs. Your raw data is stored in low-cost storage using Apache Iceberg, so it's easily queryable.

Next-gen observability pipelines

Dynamically reconfigurable observability pipelines that respond to the state of your system.

Large-scale, enterprise-ready

Built from the ground up on proven battle-tested technologies. Ready for your enterprise.

  • Autoscaling, serverless data processing

    Grepr uses cutting-edge infinitely scalable stream processing to process as much data as you throw at it. It scales automatically with load to handle data spikes.

  • SOC2® Type II compliance

    Security is front and center for Grepr. We went through SOC2® compliance to prove it. Visit our trust center at https://trust.grepr.ai to learn more.

  • Single Sign-on with SAML

    Support for most SSO providers, including Okta, to simplify user management and compliance.

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