Observability Guides
EspañolEnglish
← Back to guidesGuide

Reconstruct AI search incident timelines without making up the story

A practical workflow to correlate logs, metrics, traces, and OpenSearch when a vector-search regression degrades an API.

Turn scattered telemetry into a verifiable timeline: incident window, falsifiable hypotheses, trace anchors, correlated logs, saturation metrics, and mitigation validation.

Created: July 1, 2026

Published: July 1, 2026

Estimated time45 min
LevelIntermediate
Before you startRead access to Prometheus or a PromQL-compatible backend
PlatformsLinux / Docker
WhatsAppXLinkedIn

Docker

Useful for reproducing the exercise against local endpoints or an observability lab.

docker composelocal observability stack or staging endpoints
Start an analysis workspace
docker compose up -d prometheus loki tempo opensearch grafana
Store evidence as JSONL
mkdir -p incident-evidence && touch incident-evidence/timeline.jsonl
Also available inReconstruir timelines de incidentes de búsqueda AI sin inventarte la película

Content locked

This guide requires both steps before full content is available.

  • ○Click “Like” on this guide.
  • ○Share on WhatsApp, X, LinkedIn, or copy the link.

Access is automatically unlocked as soon as both steps are completed.