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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What Is an Observability Pipeline (and Why It Matters More Than Ever)
Modern observability generates too much telemetry data and too little insight, and Grepr solves this by providing an intelligent observability platform that automates data processing, routing, and storage to cut costs by over 90% while preserving full visibility.
Engineering
How DORA Redefines Logging and Observability
Grepr enables financial institutions to stay compliant with DORA by maintaining full log visibility and audit readiness at a fraction of traditional costs.
Case Study
How Jitsu Cut Logging Costs by 90% While Managing Millions of Shipments Generating 400 Logs Each
Jitsu used Grepr to cut Datadog log volume and costs by over 90 percent while keeping complete visibility, fast troubleshooting, and 13-month log retention.
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