Grepr: Using AI to Optimize Observability Telemetry before Ingestion

An Intellyx Brain Candy Brief

Grepr leverages AI to transform, filter, and compress observability telemetry as it streams, before ingestion into data stores or by existing observability tools.

Such tools receive compressed, low-noise telemetry data, which both improves results and lowers costs.

Grepr also sends raw telemetry data to an integrated data lake running on Amazon S3, a low-cost approach to retaining such data for further analysis or auditing purposes.

Grepr can also obfuscate sensitive data within telemetry feeds as well.

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