Log Analysis
Logoric
From noise to root cause.
Logoric helps teams move from noisy logs to clear incident context: what happened, what changed, where to look and how to reduce time to recovery.
Overview
Logoric in one intelligent platform
Logoric helps teams move from noisy logs to clear incident context: what happened, what changed, where to look and how to reduce time to recovery.
- Cut alert noise
- Find root causes faster
- Make incident response explainable
Platform in action
Incident investigation Real-time log analysis with incidents, RCA, alerts, semantic search and self-hosted observability.
Log Analysis 24log source typesingest
92integration presetsready
2AI modesFast + Full
Anomaly volume and RCA confidence
StartNow
Explainable incident path from recent change to user impact.
Find logs similar to an incident without exact keyword matching.
API latency spike Full AI linked errors to deployment window.
RCA Payment warnings Fast AI classified repeated warnings as low impact.
Grouped Alert policy Duplicate notifications merged into one incident.
Reduced Log Analysis
Built for observability teams
Logoric covers ingestion, semantic search, incidents, RCA, alerts, RBAC, organizations, projects and API keys.
Signal from Logs
Group related events and separate real incidents from operational noise.
Root Cause Context
Show likely causes, affected services and recent changes in one investigation view.
Actionable Alerts
Turn anomalies into clear alerts with severity, context and next-step hints.
Secure Deployment
Run inside your environment when logs and telemetry must stay under control.
Advantages
Why it matters
Log clustering Group related events across services so teams investigate incidents, not raw lines.
Root-cause hints Connect anomalies with recent changes, affected services and repeated error patterns.
Explainable incidents Turn log streams into clear incident summaries for engineering and operations.
Use cases
Where it helps
Production incidents Find likely causes and impacted components during service degradation.
Noisy alert cleanup Reduce duplicate events and prioritize signals that require action.
Postmortem context Collect event timelines and evidence for incident reviews.
Workflow
How it works
1 Connect log sources Ingest application, service and infrastructure logs.
2 Detect patterns Cluster anomalies and repeated failures.
3 Explain impact Show likely root cause, severity and next actions.
Ready to elevate your process?
Join teams delivering better outcomes with Logoric.