Automate SRE operations with intelligence and human oversight

Discovery, triage, root cause and remediation — automated end to end, with humanson the decisions that affect your SLOs.

Auto-discover infrastructure, services, and dependencies fromyour existing observability stack — no manual mapping required.

Discovers from your Observability stack

Maps AWS, GCP, and Azure cloud infrastructure

Builds service topology and dependency graphs

Cut through alert noise with automated correlation, deduplication,and severity classification by blast radius.

Auto-categorize by severity and service impact

Suppress noise and correlate related alerts

Enrich alerts with RCA based on context fromAiden World Model

Trace incidents across service dependencies, correlating logs,metrics and events into a probable cause with its evidence.

Anomaly detection across metrics and logs

Dependency mapping for impact assessment

Error pattern recognition and signatures

Executes remediation workflows for common scenarios with fullaudit trails, looping in humans for approvals where oversight isneeded.

Service restarts, scaling, and traffic routing

Deployment rollback with approval gates

Complete audit trails for every action

Aiden tracks error budget burn in real time and acts before abreach, not after.

Real-time error budget consumption tracking

Predicts and remediates issues before your error budget runs out

Prioritizes by SLO impact, not alert volume

faq

Frequently Asked Questions