Reduce telemetry costs 90% without reducing reliability
Grepr’s signal processor reduces noisy telemetry data before it’s sent to your expensive observability and security platforms.
Keep the tools you already use, preserve raw data, and stop paying full price for noise.
Data retention forces an impossible choice
Modern architectures, especially those built with AI or for AI, generate vastly more telemetry and change more rapidly than ever before.
And until now, you’ve faced a choice:
Collect everything and accept expensive telemetry platform bills as an insurance premium, or build drop rules using legacy pipelines, which can lead to blind spots during an incident and create enormous toil for engineers.
“By 2028, 80% of enterprises that do not implement observability cost controls will
overspend by more than 50%."
Gartner, Get Your Observability Spend Under Control (April 2025)
Cut data costs without losing visibility
Grepr’s Signal processor automatically reduces telemetry costs by 90%, keeping raw data in low-cost storage, available for immediate backfill.
Spend less. Focus on the signal.
Collect everything. Pay only for signal
Grepr’s signal processing engine forwards compressed signal to your existing tools.
Reduce spend without losing visibility
Grepr eliminates sending noisy telemetry to high-cost platforms.
Full fidelity when you need it
Raw telemetry remains queryable in low-cost storage for backfill and fine-granularity access when needed. Store it as long as you like in your own storage bucket.
Keep your current tooling. No migrations
Grepr works seamlessly with Datadog, New Relic, Splunk, Sumo Logic, Grafana Cloud, CloudWatch, OpenTelemetry, and common collectors.
The intelligent operations layer for modern DevSecOps
Grepr AI
Agent harness
Issues board
Signal processor
Signal extraction & compression
Platform
User-defined streaming SQL
Babelfish query engine
Enterprise-grade management
telemetry sources
observability and security platforms
DATA LAKE
How Grepr solves the limitations of traditional approaches.
Instead of collecting less
Creates blind spots, and developer adherence is inconsistent.
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.
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.
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.
Collect everything and ship now.
Fully running in 30 minutes
Get started for free. Zero rules to write. 90% costs reduction, guaranteed.
Keep your existing collectors
A single configuration change points your collectors to Grepr.
Start fast. No need to deploy new infrastructure.
Keep your existing tools
Compressed signal and summaries are automatically forwarded to Datadog, New Relic, Splunk, Grafana, and others.
No migrations required. Send to multiple vendors simultaneously.
Keep your dashboards and alerts
Grepr automatically ensures the queries and data powering your dashboards and alerts are passed through to your observability platform.
Fast time to value: Go live quickly with no impact to existing ops.
“Our developers are happy, because we didn't change how they operate, which is exactly what I wanted. And now our costs have dropped.”
How a Medical Technology Company Reduced Log Volume by 94% While Maintaining Reliability
“I've been through a lot of vendor evaluations, and this was the smoothest POC we've experienced.”
How a Global Retailer Stopped Paying to Index Noise
“We were skeptical that something could reduce our log volume that aggressively without us feeling it somewhere. The fact that our developers haven't noticed a change in how they work is the result we were hoping for.”
How CustomInk Cut Their CloudWatch Bill by 85% Without Impacting Dev or Ops
“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.”
How FOSSA Reduced Distributed Trace Volume by 90%
“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.”
9 Days from Kickoff to Production: 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!"
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!"
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Case Study: How FOSSA Reduced Their Logs by 95% Without Burdening Their Engineers
“Our developers are happy, because we didn't change how they operate, which is exactly what I wanted. And now our costs have dropped.”
“I've been through a lot of vendor evaluations, and this was the smoothest POC we've experienced.”
“We were skeptical that something could reduce our log volume that aggressively without us feeling it somewhere. The fact that our developers haven't noticed a change in how they work is the result we were hoping for.”
“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.”
“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.”
"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!"
"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!"
Ready to reduce your telemetry costs by 90%?
See how much of your telemetry spend is driven by repetitive, low-signal telemetry and how Grepr can reduce cost without replacing the tools your team already uses.