CXSphere Incident Management detects anomalies in real time, executes auto-healing runbooks, and escalates only when human intervention is truly required.
AI-powered anomaly detection monitors metrics, logs, and traces across your entire infrastructure — flagging incidents in seconds, not minutes.
AI correlates signals across metrics, logs, traces, and events to detect incidents that would be missed by threshold-based alerts alone.
ML models learn normal behavior patterns for every service, API, and host — detecting anomalies that deviate from baseline.
Stream processing engine detects incidents in under 500ms — fast enough to auto-heal before users experience degradation.
AI deduplicates related alerts and groups correlated events — reducing alert noise by 90% while surfacing real incidents.
Monitor infrastructure, applications, and business metrics from a single pane of glass. CXSphere ingests telemetry from every layer of your stack.
Real-time metrics from servers, containers, databases, and network devices. Agent-based and agentless collection supported.
Distributed tracing, service maps, and code-level profiling. Understand exactly where latency and errors originate.
Centralized log collection with full-text search, pattern detection, and automated log parsing across all services.
When incidents are detected, CXSphere automatically executes pre-approved runbooks — restarting services, scaling capacity, clearing caches, failover to standby systems.
200+ production-tested runbooks for common incidents — database failover, cache clearing, service restart, auto-scaling, log rotation.
Risk-based approval gates ensure high-impact actions require human sign-off before execution. Low-risk actions run automatically.
If healing actions fail validation checks or make the problem worse, CXSphere automatically rolls back changes and escalates to humans.
Enterprise teams using CXSphere Incident Management see dramatic reductions in MTTR, manual escalations, and user-facing downtime.
Watch CXSphere detect and resolve a live production incident without human intervention.