This blog post shows how to reduce log volume by up to 90% by integrating New Relic with Grepr. Using a simple Docker-based microservices demo, we walk through configuring Fluent Bit to ship logs to New Relic, then show how easily Grepr can be inserted into the pipeline to intelligently filter out noise. The result is cleaner, more actionable log data, reduced observability spend, and no disruption to existing workflows. All raw data is retained in low-cost storage and can be backfilled on demand—helping teams stay in control of both their visibility and their budget.
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Engineering Guides
How to Reduce New Relic Costs With Grepr: A Step-by-Step Setup Guide
Grepr reduces New Relic costs by applying ML-based log reduction upstream of ingest, summarizing high-volume patterns while preserving unique events, anomalies, and any logs referenced by your existing dashboards and alerts.
Engineering Guides
Privacy and Data Ownership in Observability Pipelines
Grepr lets you keep your raw log data in your own S3 bucket while still getting the benefits of a managed observability platform.
Product Features
Observability Cost Control: How Grepr and Edge Delta Take Different Paths to the Same Goal
Both Edge Delta and Grepr use AI to process observability data streams, but Grepr's automatic pipeline management delivers faster time-to-value with minimal configuration while Edge Delta requires ongoing manual maintenance.
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