What is Grepr?

Grepr is an enterprise-grade data storage, processing, and analytics platform for your observability data. Grepr collects, transforms, and analyzes your log data and then sends the processed logs to your observability platform.

Before sending log data to the destination platform, Grepr uses machine learning to analyze and intelligently aggregate the data. During normal operations, Grepr reduces your observability costs by reducing the volume of data sent to your observability tools, while retaining all of your raw data in low-cost cloud storage. If an incident or anomaly occurs, Grepr increases the granularity of the forwarded data to ensure that sufficient data is available for troubleshooting. Grepr also uses the raw data to backfill any historical data relevant to the incident.

Grepr supports popular observability platforms, including Datadog, Splunk, New Relic, Sumo Logic, Grafana Cloud, and OpenTelemetry-compatible platforms.

If you’re just getting started with Grepr, follow the Get started guides below. If you’re already using Grepr and need information on creating pipelines to process logs or to query raw logs stored in Grepr, see the guides under Process and explore your logs. If you need to automate your Grepr tasks or implement clients that use Grepr features, or use JavaScript to code reusable components for your pipelines, see the Developers documentation.