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AI Remediation & RCA

Alert breaches become a written root-cause analysis.

Overview

Alert breaches become a written root-cause analysis: timeline, span table, remediation commands and prevention. It reads traces, logs and metrics, then the codebase, your cloud and cluster, and configuration and flag state. Advisory by design — it never executes anything itself.

Key features

  • Reads traces, logs and metrics for the breach
  • Then the codebase, your cloud and cluster, and feature-flag state
  • Writes a timeline, span table, remediation commands and prevention
  • Advisory by design — a human runs every command

Example: frontend product view failure

Generated in 11s from a SEV-2 alert on frontend. Verdict: deliberate failure from an enabled feature flag. What it read before writing:

Traces

6-span failure chain

Logs

explicit error message

Metrics

error rate per service

Codebase

GetProduct call path

Cloud & cluster

AWS · GCP · Azure · Kubernetes

Feature flags

flagd state — the actual cause

alert
STATUS_CODE_ERROR in frontend
trace
5f77bac6a9c6c988fa87b46ee353f07f
failing span
oteldemo.ProductCatalogService/GetProduct
endpoint
/api/products/[productId]
status message
Product Catalog Fail Feature Flag Enabled
feature flag
flagd · product-catalog-fail = true
infrastructure
ruled out — not infra, not a code bug

Delivery

AI Remediation & RCA is part of the full platform in both delivery models — there is no cut-down edition.

SaaS · Fully managed

We run the platform, handle upgrades, scaling and backups. You point your collectors at an endpoint and start asking questions the same afternoon.

PaaS · Your infrastructure, our platform

The full platform deployed into your own Kubernetes clusters or VMs, with telemetry never leaving your network boundary. We operate and support it where you host it.

See it on your own questions.

Request a login to the live demo with 80M spans, or book a walkthrough on your stack.