Grepr Blog


Read the latest news and articles on the industry, our product, and company.

Product

Automating Log Management

Grepr uses machine learning to reduce log volume without losing visibility. It parses and structures logs in real time, groups similar messages, and applies smart sampling to cut noise. Critical logs still get through, and full raw data is stored separately for easy access during incidents—keeping your backend lean and your team in control.
May 9, 2025
Product

Time Travel With Dynamic Backfill

Grepr’s Dynamic Backfill feature lets teams retain all log data at low cost while only sending essential logs to their main logging backend, cutting processing and storage costs by around 90%. Unlike traditional logging that risks missing key data before an incident is detected, Grepr stores everything in affordable storage and allows engineers to selectively backfill detailed logs when issues arise—like turning up log detail after the fact. This ensures engineers have full context for debugging, with no disruption to existing workflows, balancing deep visibility with major cost savings.
May 2, 2025
Product

How Grepr Handles Trace Logs

Grepr helps companies lower observability costs while keeping engineers' workflows unchanged. A key feature is its ability to ensure full logs for a sampled set of traces, even with log aggregation and sampling in place. Users can specify how much of their data to sample and provide trace ID paths to identify relevant logs. Grepr's system uses intelligent sampling, backfilling, and a rule engine to collect and process trace logs efficiently. To optimize performance and memory, it evolved from a basic set-based approach to a scalable design using Bloom filters and a custom resizing Bloom filter. This allows Grepr to maintain high throughput while managing memory use effectively, ensuring reliable trace log visibility.
May 14, 2025
Product

Using Grepr To Reduce Logging Costs

Discover how Grepr's intelligent log management solution can reduce your logging costs by 90% without sacrificing visibility. Our two-tier storage system uses machine learning to identify patterns and store less critical logs in low-cost storage, while maintaining immediate access to important data. When incidents occur, Grepr's dynamic backfill feature automatically retrieves relevant logs to your existing tools. Implement smarter logging today without changing your workflows or compromising on troubleshooting capabilities.
April 25, 2025
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Product

Dirt-cheap, infinite, queryable storage

Storing logs long-term doesn't have to be super expensive. Using a data lake can reduce storage costs by more than 90% while still keeping the logs queryable and immediately accessible.
April 23, 2025
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Product

Three Advanced Techniques to Reduce Logging Costs - Part II

This post describes advanced techniques to reduce log volume: automatic sampling by pattern, logarithmic sampling by pattern, and sampling with automatic backfilling.
February 11, 2025
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Product

6 ways Grepr Optimizes the Logs Data Lake

This blog discusses 6 ways that the Grepr Data Lake is optimized for logs.
April 21, 2025
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Product

Four Basic Techniques to Reduce Logging Costs - Part I

This blog reviews basic techniques to reduce logging volumes. These are available in most log aggregation systems.
February 5, 2025
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Announcements

Announcing Grepr: Observability for the modern complex world

Announcing our raise from Andreessen Horowitz and boldstart ventures to tackle the exponentially growing cost of observability without forcing migrations. Grepr combines machine learning with an observability data lake to reduce costs by 90% with minimal effort.
January 22, 2025

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