How Grepr uses continuous pattern extraction and AI to detect anomalies and build monitoring strategies to prevent failures.
Every AI conversation at the summit dragged a cost conversation behind it, and most teams already knew which one was winning.
Grepr's free tier is live: perpetual, no credit card, 4 TB of logs and 8 TB of traces a month to run on your own data.
Grepr helps teams gain clear visibility into Kubernetes audit logs by filtering noise, detecting anomalies, and keeping observability costs low.
Grepr connects seamlessly with Splunk, using machine learning to cut log volume and costs by 90 percent while preserving full data access and visibility.
Structured logging turns unstructured text logs into clear, queryable data that improves visibility, collaboration, and operational efficiency.
Grepr uses AI and semantic analysis to reduce observability data by 90% while retaining complete visibility for faster, more cost-efficient incident response.
Grepr’s Live Edit lets you test and validate pipeline changes safely in a temporary clone, so you can fine-tune processing without affecting live data.
Grepr automates backfill with webhooks and rule-based triggers, restoring full log data on demand for faster, more efficient incident investigation.
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