AI Monitoring Platform
Enterprise SoftwareProblem
A growing enterprise needed real-time monitoring across hundreds of services with intelligent alerting that could distinguish genuine incidents from noise, reducing alert fatigue for on-call engineers.
Engineering Solution
We designed a distributed event processing pipeline that ingests metrics, logs, and traces from all services. An AI classification layer analyses patterns to correlate related alerts, predict emerging issues, and suppress duplicate notifications.
System Capabilities
- Real-time event stream processing
- ML-based alert correlation and deduplication
- Custom dashboard builder with role-based views
- Automated runbook execution for known patterns
- Historical trend analysis and capacity forecasting
Outcome
The platform processes over 2 million events per minute with sub-second alert latency. Alert noise was reduced by 73%, and mean time to resolution improved as engineers receive contextualised, actionable incident summaries.