Cut bill 90%

Optimize your observability platform

Grepr is the Autonomous Telemetry Pipeline that automatically reduces 90% of your telemetry noise without migrations or disruption to existing dashboards and alerts.

Grepr works with Datadog, New Relic, Splunk, Dynatrace, Grafana, OpenTelemetry, AWS Cloudwatch, and more.

Your observability platform isn’t the problem. It’s the expensive, noisy telemetry you don’t use.

Engineering teams ship more services, more background jobs, and more debug events. And AI-assisted development accelerates the pace in a way that’s unsustainable. Your observability bill compounds as your telemetry data grows.

Cut observability costs without losing visibility

We guarantee a 75% reduction in your observability TCO. Raw data remains available in low-cost storage for querying or automatic backfill during an incident.

How Grepr solves the limitations of traditional approaches

Instead of collecting less

Creates blind spots, and developer adherence is inconsistent.

With Grepr

Collect as much as you want, and let Grepr separate the signal from the noise.

Instead of shortening retention

Creates blind spots during outages, and compliance may mandate longer retention.

With Grepr

Keep raw telemetry in a low-cost data lake and back-fill data to assist investigations.

Instead of sampling or dropping data

Requires months of engineering resources, and arbitrary dropping leads to blind spots.

With Grepr

Collect everything and let Grepr’s signal processing engine automatically separate signal from noise.

Instead of observability reviews

Observability cost reviews and quota negotiations slow down deployments.

With Grepr

Collect everything and ship now.

How to optimize observability with Grepr

Keeps using your observability platform as you always have. Your Dashboards, alerts, runbooks, and investigations stay connected to the same workflows.

Area
Without
With
Telemetry ingestion volume
Full — all telemetry sent to your observability platform.
Only high-value signal is sent is to your observability platform; low-value noise goes to a low-cost data lake.
Telemetry ingestion cost
Scales with telemetry growth (unsustainable).
Up to 90% noise reduction results in up to 75% observability TCO reduction.
Raw data access
Limited to what your observability platform retains.
Preserved in low-cost storage for search and automatic backfill during incidents.
Dashboards and alerts
Unaffected.
Unaffected: Grepr's query translation engine reads your existing dashboards and alerts and automatically ensures the data they depend on is routed through.
Developer toil
Increased: Developers required to set up filtering to control costs.
Reduced: No tinkering required–Grepr automatically eliminates noise.
SRE toil
Increased: Manual log tuning, retention debates, filter maintenance, and slogging through noise.
Reduced: Autonomous signal processing engine eliminates noise.
Deployment effort
N/A
30 minutes: Single configuration change. No migration required.

Grepr sits between your telemetry sources and your observability platform

Connect with one-line config
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Eliminate noise

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Preserve low-value noise for investigations at a fraction of New Relic’s cost

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Protect dashboards and alerts
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Backfill archived noise when needed
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Test before streaming live
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Lower Bills. Same visibility. No compromise.

Keep using your observability platform. No migrations.

Grepr is not an observability alternative. Keep using your platform exactly as you always have.

Eliminate low-value noise.

Grepr’s signal processing engine automatically eliminates telemetry noise before it reaches your observability platform.

Focus on your products, not observability tooling.

Grepr detects millions of patterns, signatures, and trends dynamically. No toilsome rule-building. No log audits. No routing rules to update each sprint. No policing log volumes.

Cost controls that scale with you.

As you ship more software and produce more telemetry, Grepr scales with you, automatically identifying noisy telemetry in real time.

Eliminate observability noise in production.

"Grepr helped us automate what to keep and what to skip, so we’re not paying to store or index noise. It lets us find the needle in the haystack without paying for the haystack!"
Evan Robinson, CTO atJitsu

How Jitsu Cut Logging Costs by 90% While Managing Millions of Shipments Generating 400 Logs Each

"Since we deployed Grepr, we’re seeing a 95% reduction in log volume and didn’t have to change a thing in our app. I'd recommend Grepr to any team that's experiencing rising costs from an expensive logging platform!"
Dave Bortz, VP Engineering at FOSSA

Case Study: How FOSSA Reduced Their Logs by 95% Without Burdening Their Engineers

“Engineers didn't change how they work at all. Dashboards and alerts still worked as expected. We just stopped paying for 90% of our log volume that was never doing anything for us.”
Ben Ede, Director of Engineering at Envoy

9 Days from Kickoff to Production: How Envoy Cut Log Volume by 90%

“After seeing what Grepr did to reduce our logs noise, extending it to traces was an easy call. We were seeing the same pattern: a lot of volume, most of it not particularly useful, and a Datadog billing model that scaled with every new host we spun up.”
Dave Bortz, VP Engineering at FOSSA

How Envoy Cut Log Volume by 90%

"Grepr helped us automate what to keep and what to skip, so we’re not paying to store or index noise. It lets us find the needle in the haystack without paying for the haystack!"
Evan Robinson, CTO atJitsu
Learn More
"Since we deployed Grepr, we’re seeing a 95% reduction in log volume and didn’t have to change a thing in our app. I'd recommend Grepr to any team that's experiencing rising costs from an expensive logging platform!"
Dave Bortz, VP Engineering at FOSSA
Learn More
“Engineers didn't change how they work at all. Dashboards and alerts still worked as expected. We just stopped paying for 90% of our log volume that was never doing anything for us.”
Ben Ede, Director of Engineering at Envoy
Learn More
“After seeing what Grepr did to reduce our logs noise, extending it to traces was an easy call. We were seeing the same pattern: a lot of volume, most of it not particularly useful, and a Datadog billing model that scaled with every new host we spun up.”
Dave Bortz, VP Engineering at FOSSA
Learn More

FAQs

What are observability costs?

Observability costs are the expenses associated with collecting, ingesting, indexing, storing, retaining, and analyzing telemetry data such as logs, metrics, traces, and events. These costs often grow as engineering teams add more services, generate more telemetry, and rely more heavily on observability platforms for reliability and incident response.

Why do observability costs get so high?

No. Grepr is vendor-neutral and works with New Relic. High-value signal is automatically forwarded to New Relic (or Datadog, New Relic, Grafana Cloud, OpenTelemetry, and common log forwarders).

How does Grepr reduce observability costs?

A single configuration change points your New Relic agents to Grepr. No agents to install, no re-instrumentation, and no migrations.

Does Grepr replace Datadog, Splunk, New Relic, or Grafana Cloud?

Grepr preserves raw data in low-cost storage for backfill and incident investigation.

Does reducing observability costs mean dropping logs, metrics, or traces?

Grepr's query translation engine reads your existing dashboards and alerts and automatically ensures the data they depend on is routed through.

Can Grepr help reduce Datadog costs?

No. Sampling usually selects a percentage of events and drops the rest. Instead, Grepr’s signal processing engine detects repetitive, low-value patterns, forwards summaries and high-signal telemetry to New Relic, and preserves raw data in low-cost storage for backfill and incident investigation.

Who should use Grepr for observability cost reduction?

Yes. Grepr also supports distributed tracing, with metrics support anticipated in summer of 2026.

What is the safest way to reduce observability costs?

Grepr can manually or automatically backfill data based on triggers such as incidents, anomalies, support tickets, or investigations.

Can Grepr backfill telemetry when teams need more detail?

Yes. Grepr sends interesting log patterns to New Relic, and preserves the noisy logs in low-cost storage for backfill and incident investigation.

Is Grepr only for log cost reduction?

Grepr can be set up in minutes using a single configuration change that points your existing agents to Grepr. No agents to install, no re-instrumentation, and no migrations.

Save 90% on your observability platform bill

Show us your log patterns, trace signatures, and metric trends, and we'll show you how Grepr can reduce your noise.