log-analyzer

Log analysis for anomaly detection works by scanning cross-service logs to identify spikes in errors, authentication failures, and suspicious access patterns. It applies threshold-based alerts and duration-based trends to generate concise risk summaries with highlighted signals for incident response.

You can scan PM2 logs for error spikes by applying cross-service log scanning that targets PM2, startup, bridge, orchestrator, frontend, and Docker logs. The analyzer identifies duration-based trends and threshold-based alerts, outputting an actionable summary with highlighted risk signals.

Yes, log analysis works with Docker logs for security breach detection by scanning relevant Docker logs alongside PM2, bridge, orchestrator, and frontend logs. It identifies authentication failures and suspicious access patterns, applying threshold-based alerts to output concise risk summaries for incident response.

The best way to triage service logs for incident response is cross-service log scanning that applies duration-based trends and threshold-based alerts to identify error spikes and authentication failures. This reduces manual triage by generating concise, actionable risk summaries with highlighted signals.

Anomaly detection for cross-service logs identifies suspicious access patterns and error spikes by applying duration-based trends and threshold-based alerts across PM2, Docker, bridge, orchestrator, and frontend logs. It outputs a concise, actionable summary with highlighted risk signals, reducing manual triage.