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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Announcements
Announcing the first proactive AI SRE agent
Grepr's proactive AI SRE agent monitors system behavior in real time, catching anomalies before they become outages, without waiting for a threshold to be crossed or a rule to be written.
Engineering Guides
What Is App Logging and Why It's Making Your Observability Bill Explode
A breakdown of why app logging bills grow faster than your user base, and how to cut volume without losing observability coverage.
Comparisons
Grepr vs. Observo: Choosing the Right AI-Powered Observability Data Pipeline
Observo and Grepr both use AI-driven pipelines to reduce observability data volumes, but where Observo requires complex manual configuration, Grepr automates 90% or more of data reduction from day one.
Get started free and see Grepr in action in 20 minutes.
