Real-time log monitoring for production systems
Catch critical patterns and anomalies directly in logs before customers report the incident.
Log monitoring matters when the first sign of trouble appears in logs rather than metrics, tickets or support complaints.
Logoric turns your event stream into an early warning system with rules, anomaly signals, incidents and context for investigation.
What matters in real-time monitoring
- Fast ingestion and filtering without heavy delays as event volume grows.
- Alerts on patterns, levels, attributes and repeated error sequences.
- Incident context attached to the signal instead of a single disconnected notification.
How this helps production teams
- Failures are visible before they become customer-facing incidents.
- Teams can quickly identify which service, release or infrastructure layer is affected.
- Manual grep is replaced by a repeatable investigation workflow built around logs.
Log monitoring FAQ
How is log monitoring different from basic log storage?
Storage lets you inspect data after the fact. Monitoring adds active detection, alerting and operational context for incident response.
Can alerts use structured fields and attributes?
Yes. Rules can be built around levels, services, trace IDs, attributes and other structured fields present in your events.
Does this work for microservices and containers?
Yes. Distributed systems benefit the most because critical context is spread across multiple services and components.
Related pages
Set up log monitoring before the next production incident
Connect your sources, define alert rules and start catching signals before they turn into support escalations or churn.