InfraSage ingests metrics, logs, and traces at scale, detects anomalies in real time, performs evidence-cited root cause analysis with Anthropic Claude, and proposes remediation runbooks a human approves — before your customers notice.
From raw telemetry to approved resolution — in a single platform.
Multi-layer detection using Z-score watchdog, Isolation Forest, and adaptive seasonal thresholds. Catch anomalies in under 100 ms with zero-config baselines.
Anthropic Claude analyzes correlated signals, blast radius, and historical incidents to pinpoint root causes — and delivers actionable remediation steps in ~20 seconds.
Propose Kubernetes, HTTP, shell, or Slack actions that execute only after a human approves — with dry-run mode and automatic rollback if metrics worsen.
XGBoost + Isolation Forest models, ARIMA forecasting, causal inference, model drift detection, and A/B shadow deployment — all with automated retraining.
Native connectors for OpenTelemetry, AWS CloudWatch, Kubernetes, PagerDuty, Jira, Slack, Microsoft Teams, and custom webhooks with jq/JS/Python transforms.
5-tier RBAC (Viewer → System), per-tenant data isolation, JWT auth, scoped API keys with rate limits, and a full 365-day audit trail.
Native integrations with the tools your team already uses.
Start free. Scale as you grow. No surprise bills.