Log Explorer lets you search, filter, and analyze over 100 million log events with sub-second query performance. AI-powered anomaly detection flags unusual patterns before they become incidents. Pattern recognition groups similar log entries to reduce noise. Log correlation links related entries across services so you can trace a request from frontend to database. Save and share your most-used queries for instant access.
Log Explorer supports full-text search, regex patterns, and structured field filters. Search across all services simultaneously or scope to a specific service, host, or time range. Auto-complete suggests field names and common values as you type. Results are returned in milliseconds even across billions of log entries, thanks to a columnar storage engine optimized for observability queries.
Nova AI continuously analyzes log volume, error rates, and message patterns to detect anomalies. When a new error type appears, when error volume spikes unexpectedly, or when a normally chatty service goes silent, AI flags it immediately. Each anomaly includes a confidence score, affected time window, and recommended investigation steps. Anomalies are correlated with metrics and traces for full-stack context.
Pattern recognition automatically groups similar log entries by message template, reducing thousands of individual lines into a handful of patterns with occurrence counts. This transforms a wall of text into an actionable summary. Save your most-used queries with descriptive names and share them with your team. Saved queries can be scheduled to run periodically and trigger alerts when results match specified conditions.
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