LogQL Auditor – AI-powered forensic log analysis for root cause identification

Summary: LogQL Auditor uses AI to analyze raw production logs, reconstruct incident timelines, and identify root causes with remediation suggestions. It correlates data across services, errors, latency, and infrastructure signals to explain outages and guide fixes.

What it does

It performs forensic log analysis by correlating logs, errors, and infrastructure metrics to reconstruct incidents and infer root causes. It also recommends actionable remediation steps based on the findings.

Who it's for

It is designed for SREs, backend engineers, and incident response teams needing detailed incident investigation beyond standard observability tools.

Why it matters

It automates the manual process of piecing together incident timelines and root causes, reducing time spent during outages and improving response accuracy.