How it works

KPI and service-level monitoring

Protect KPIs and SLAs with dashboards that monitor service health, business metrics and their supporting systems.

Intelligent incident management

Accelerate mean time to resolution with automated event correlation, incident prioritization and integrations with IT service management tools.

Machine learning and predictive analytics

Use advanced analytics like anomaly detection and adaptive thresholding to predict and prevent issues before they impact performance.

Features

Use machine learning to power your IT operations.

Service-oriented dashboards

Monitor what matters most to the organization using performance dashboards that track KPIs and service availability.

Service deep dives

Analyze multiple service metrics in swim lanes and drill down into raw data at full fidelity, to quickly identify root cause.

Predictive alerting

Detect future service degradations using machine learning and historical data. Access all data to alert on true outliers, not averages of averages.

Automated event aggregation

Collect and enrich events from multiple sources into a single framework. Trigger alerts as data enters the system, using out-of-the-box machine learning policies.

KPI-driven triage view

Prioritize incidents by severity of impact to the organization, so the most critical issues are addressed first.

Integrations with ITSM

Trigger service ticketing, on-call response or automated playbooks directly from your incident review.