Automate cloud infrastructure triage, collaborative agent deliberation, confidence-scored verdicts, and human-in-the-loop remediation. Powered by a coordinated swarm of AI agents.
Ingests alerts, creates incident workspaces, coordinates parallel diagnostics, facilitates agent deliberation, scores confidence, and triggers auto-remediation.
Monitors infrastructure, detects anomaly signals (CPU, latency spikes, DB locks), and calculates saturation thresholds in target incident windows.
Parses system logs, correlates error frequency bucket timestamps, extracts stack traces and exception signatures, and flags root errors.
Audits code releases, configuration deployments, and schema migrations. Automatically correlates deployment events to incident start times.
Scans internal repositories for matching system runbooks, checks procedure staleness (e.g. pool configurations), and recommends actions.
Maintains an in-memory evidence ledger of all agent observations. Computes weighted confidence scores with bonus modifiers from deliberation.
Alerts are captured. Incident space is constructed, and domains tasks are published to the Band queue.
Specialized agents analyze metrics, logs, deploys, and runbooks in parallel, sharing evidence markers.
Agents cross-reference findings via deliberation channels (Agreeing, Challenging, Connecting signals).
Commander formulates confidence-weighted verdict, executes remediation plan, and auto-commits the postmortem.
Launch the Incident Commander console to simulate incidents and observe cooperative AI agents collaborating to resolve production outages.
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