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November 3, 2026

Introducing Grepr AI: The harness for proactive operational agents

Grepr AI is a harness for building proactive operational agents that run on your live telemetry, notice every new or changed pattern the moment it appears, and investigate and fix what no alert, rule, or detection was built to catch.

Recommended Articles

Engineering Guides

October 28, 2026

7 Things I’ve Learned Building a Threat Hunter Agent Using Grepr’s Harness

Seven hard lessons from building a proactive threat-hunter agent on Grepr’s harness, from why the LLM has to be the last line of defense to using causal graphs and deterministic checkers to keep it from inventing kill chains.

Engineering Guides

October 9, 2026

OCSF Without the Parsers: How Grepr AI Maps New Log Sources and Catches Schema Drift

Grepr AI maps new log patterns to OCSF, repairs the mapping when a source changes, and tells you exactly what changed, so you never write a parser and your original data stays intact.

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New Relic Pipeline Control vs Grepr: Manual Rules vs AI Automation

New Relic Pipeline Control bills you on data volume before any filtering happens, requires manual YAML config for every pipeline, and needs a separate Kubernetes install per environment.

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The Observability Data Hoarder's Guide to Letting Go

Your Datadog bill keeps climbing because teams store more data to solve a retrieval problem, and that has never actually worked.

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APM Traces vs. Application Logs: What's the Difference and Why It Matters

Application logs capture developer-written context about business logic and internal state; APM traces automatically record request flow and performance across services, and understanding the difference explains why both inflate your observability bill.

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HIPAA Requirements for Observability Data Retention: What Engineering Teams Need to Know in 2026

Most engineering teams running healthcare or FinTech systems are sitting on a HIPAA retention gap they have not found yet, and their observability vendor is not going to flag it for them.

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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.

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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.

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November 3, 2026

Introducing Grepr AI: The harness for proactive operational agents

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January 22, 2025

Why We Built Grepr: Observability Without the Waste

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The Observability Debt: Why More Data is Making Us Less Reliable

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Goldsky: 96% Reduction in Datadog Logging Costs

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Best Log Management Tools in 2026: A Realist's Buying Guide

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Best Observability Tools in 2026: What They Really Cost You

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Vector vs Grepr: Comparing Observability Data Pipelines

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Engineering Guides

October 28, 2026

7 Things I’ve Learned Building a Threat Hunter Agent Using Grepr’s Harness

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Engineering Guides

October 27, 2026

Why AI Is Insufficient for Threat Hunting

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Engineering Guides

October 22, 2026

How AI can Investigate Every New Log Pattern at Scale

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What We Heard at Observability Summit 2026

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December 17, 2025

Three Weeks, Three Conferences, One Clear Message About Observability Costs

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November 1, 2025

Webinar Recap: How Fossa Saved 90% On Datadog Observability Costs with Grepr

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Product Features

September 11, 2026

Run analytical queries on your data lake, right from the Grepr UI

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Product Features

September 10, 2026

We Pointed the Grepr Agent at Our Own Cluster. Here's What It Found.

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Product Features

September 8, 2026

Introducing Agent Sessions: See how your org actually uses AI coding agents (Preview)

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August 13, 2026

The Signal Was There. Nobody Was Watching

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What Is Log Aggregation (and Where It Breaks at Scale)

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Alert Fatigue: What It Costs Engineering Teams in 2026