Reduce alert fatigue by 90% with intelligent correlation. Accelerate resolution with AI-driven root cause analysis. Keep stakeholders informed with automated communications.
Purpose-built for SRE, DevOps, and Platform Engineering teams managing complex distributed systems
Our ML-powered engine analyzes patterns across metrics, logs, and traces to automatically group related alerts. Reduce thousands of noisy alerts into actionable incidents using temporal correlation, topology-aware clustering, and semantic similarity analysis.
Deploy autonomous AI agents that investigate incidents in real-time. Leveraging LLMs trained on your infrastructure knowledge base, the system traces through dependency graphs, queries observability data, and identifies the probable root cause within minutes.
Configure multi-tier escalation workflows with intelligent routing. Set time-based and severity-based rules, define backup responders, and enable automatic re-routing when primary on-calls are unavailable. Supports rotation overrides and holiday schedules.
Build flexible on-call rotations with automatic load balancing. AI suggests optimal schedules based on historical patterns, team preferences, and workload distribution. Integrates with calendars for PTO management and offers one-click shift swaps.
Automatically compile comprehensive post-incident reports. The AI aggregates timeline events, chat transcripts, and system changes to generate blameless postmortems with root cause summary, impact analysis, contributing factors, and actionable remediation items.
Keep customers informed with AI-assisted incident communications. Auto-generate status updates from internal incident data, manage multi-channel notifications (email, SMS, webhooks), and provide real-time status page updates with estimated resolution times.
Correlate incidents with recent changes using automated change intelligence. Track deployments, config updates, and infrastructure modifications. AI analyzes change risk scores and automatically identifies change-related incidents for faster rollback decisions.
Maintain a living service catalog with auto-discovered dependencies. Visualize your entire tech stack topology, understand blast radius during incidents, and enable precise impact analysis with real-time dependency health monitoring.
A seamless workflow that transforms how your team handles incidents
Connect your monitoring stack via native integrations or webhooks. Our AI engine immediately begins correlating alerts using machine learning algorithms.
Incidents are automatically prioritized based on business impact, affected services, and historical severity. On-call responders receive enriched alerts with full context and suggested investigation paths.
The AI agent proactively investigates by querying logs, metrics, and traces. It surfaces probable root causes, suggests runbook actions.
Post-incident, the system auto-generates postmortems and captures learnings. Patterns are fed back into the correlation engine, continuously improving detection accuracy and reducing MTTR.
Native connectors for 100+ tools. Ingest data from any source via REST API, webhooks, or our SDKs.