🇬🇪
System Health
Incident
Operational
IT
Operations
Incidents resolved automatically
System Monitoring AI
Interpret logs, metrics, and traces in real-time — clear insights and actionable alerts.
Throughput · req/s
live
API
42ms
Database
18ms
Cache
3ms
Queue
120/s
All systems operational · 99.98%
Incident Response Automation
Detect, classify, and resolve incidents faster — AI runbooks cut downtime.
High latency · api-gateway
P2
Anomaly detected · 14:02
Cause: pod OOM-killed
Restarted · auto-scaled
Resolved · MTTR 4m 12s
p95 latency
peak 840ms
recovered · 42ms
Root Cause Analysis
Identify the source of failures by correlating signals across services.
trace
842ms
api-gateway
auth
db-query
cache
bottleneck · db-query 540ms
root cause
DB pool exhausted
confidence
94%
deploy #482
pool size 20
Fix · ↑ pool to 50
Capacity Planning AI
Forecast infra needs, optimize cloud costs, and assess release risk.
cpu usage
forecast ↑
capacity reached · ~6 days
recommendation
4 → 6
projected load
61%
save $1.2K/mo
AI For Your
SaaS
Fintech
E-commerce
Telecom
Enterprise IT
Cloud