Grepr Blog

Modern observability generates too much telemetry data and too little insight, and Grepr solves this by providing an intelligent observability platform that automates data processing, routing, and storage to cut costs by over 90% while preserving full visibility.

Grepr enables financial institutions to stay compliant with DORA by maintaining full log visibility and audit readiness at a fraction of traditional costs.

Jitsu used Grepr to cut Datadog log volume and costs by over 90 percent while keeping complete visibility, fast troubleshooting, and 13-month log retention.

Grepr integrates with Cloudflare to reduce log volume and costs while retaining complete visibility into traffic, performance, and security insights.

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.

Grepr’s Intelligent Observability Engine uses pipelines, clustering, and adaptive sampling to process and reduce log data by up to 90% while preserving full visibility.

FOSSA cut Datadog logging costs by 95% with Grepr, keeping full visibility and dashboards intact while scaling their software supply chain platform.