AI-Powered Observability
Intelligence
CoreLens AI transforms raw telemetry into instant understanding — correlating millions of events per second to surface root causes, predict failures, and recommend precise fixes before your users are ever affected.
Incidents Detected Before Your Users Notice
Continuous AI monitoring across every signal in your stack — no thresholds to configure, no false alarms to chase.
Database Connection Pool Exhausted
From 2 Hours of Debugging to 30 Seconds
AI correlates logs, traces, and metrics across your entire distributed system to surface the exact root cause — not just the symptom.
- ✗Manually scan thousands of log lines
- ✗Correlate timestamps across 5+ dashboards
- ✗Guess at root cause, apply a fix, hope for the best
- ✗Wake the database team at 3 AM
- ✗Average MTTR: 2 hours 14 minutes
- ✓AI analyses all signals automatically within seconds
- ✓Root cause chain displayed in plain English
- ✓Specific, actionable fix recommendation provided
- ✓One-click runbook creation for future recurrence
- ✓Average MTTR: 28 seconds
Root Cause Identified ✓
Analyzed 847,219 log lines, 23 distributed traces, and 4 metric streams across your stack:
Recommended Fix:
Set max_connections to 200, add PgBouncer in transaction mode, and enforce migration scheduling to off-peak windows (02:00–05:00 UTC).
Thousands of Logs. One Clear Summary.
Stop drowning in raw log data. CoreLens AI reads every line and delivers human-readable intelligence — pattern clusters, anomaly highlights, and trend summaries — in seconds.
- Pattern DetectionAutomatically cluster recurring error patterns and surface the most impactful ones.
- Anomaly ClusteringGroup statistically unusual events together for efficient triage — no alert fatigue.
- Plain-English SummariesAI generates a 2–3 sentence executive summary for any time window you select.
- Trend IdentificationDetect slow-burn degradations that rule-based alerts would miss entirely.
- Noise ReductionFilter out repetitive, low-value log noise before it reaches your on-call engineer.
Actionable Insights, Not Just Data
CoreLens AI doesn't just surface problems — it tells you exactly what to do next, with confidence-scored recommendations you can act on in one click.
Scale Up Recommendation
CPU utilization on api-gateway has been above 78% for 22 consecutive minutes. AI recommends adding 2 worker nodes to the autoscaling group to restore headroom before the PM peak traffic window.
Query Optimization
Slow query detected: SELECT * FROM orders WHERE customer_id = ? AND status = 'pending' — missing composite index on (customer_id, status). Estimated 94% reduction in query time after fix.
Alert Threshold Tuning
Your memory-usage alert fires 18 times per day due to a threshold set at 70%. AI analysis shows 85% is the true anomaly boundary for this service. Adjusting will reduce noise by 73%.
Your Infrastructure's Overall Health at a Glance
AI-computed health scores across every layer of your stack — updated every 60 seconds with explanations you can understand.
Ask Anything About Your Infrastructure
Natural language access to every signal in your stack. No query language to learn — just ask, and get instant, actionable answers.
Top services by error rate (last 60 min):
| Service | Error Rate | Trend |
|---|---|---|
| checkout-api | 4.72% | |
| auth-service | 1.38% | |
| inventory-svc | 0.94% |
3 contributing factors identified:
Know About Problems 30 Minutes Before They Happen
CoreLens AI uses time-series forecasting models trained on your historical data to project where key metrics are heading — and alert you before they breach critical thresholds.
- Trend AnalysisStatistical trend decomposition identifies gradual degradations invisible to point-in-time thresholds.
- ML ForecastingLSTM-based time-series models learn your system's hourly, daily, and weekly patterns to produce accurate predictions.
- Confidence ThresholdsAlerts only fire when the predictive model exceeds 85% confidence, eliminating speculative noise.
- Configurable Lead TimeSet alert lead times from 5 to 60 minutes depending on how long your remediation actions take.
Your System's Normal, Redefined Every Hour
Adaptive baseline models that evolve with your system — no static thresholds, no manual threshold configuration required, ever.
Traffic Spike
Detects sudden request volume anomalies that deviate more than 3σ from rolling baseline, distinguishing real spikes from expected load patterns.
Error Rate Surge
Monitors error-to-request ratios per service endpoint, flagging sustained elevation even when absolute counts look normal due to traffic drop.
Latency Drift
Tracks P50, P95, and P99 latency independently. Detects gradual drift that builds over hours — the slowest and most dangerous type of degradation.
Resource Exhaustion
Monitors CPU, memory, disk I/O, and network bandwidth for depletion trajectories — catching saturation before your services start dropping requests.
From Raw Data to Instant Understanding
Three phases. One seamless pipeline. Zero manual configuration.
COLLECT
Logs, metrics, distributed traces, and events are ingested from every service, host, and cloud provider simultaneously.
ANALYZE
AI models correlate signals across all telemetry types simultaneously, building a unified causal graph of your system behavior.
ACT
Alerts, summaries, root cause analyses, and one-click recommendations are delivered the moment something demands your attention.
Your AI-Powered NOC Engineer, 24/7
CoreLens AI works around the clock so your team doesn't have to. Incident detection, root cause analysis, and actionable recommendations — delivered in seconds, any time of day.