Production Troubleshooting

Diagnose ambiguous travel-booking timeouts without duplicate retries using evidence, authoritative lookup and reconciliation.

Diagnose cases where provider cancellation succeeded but local booking state stayed stale across webhook, persistence, ordering and reconciliation layers.

Identify duplicate travel bookings created after timeout/retry, preserve the correct reservation and apply safe compensation.

Diagnose price differences between metasearch, OTA and hotel booking engines with an evidence-driven triage and root-cause workflow.

Diagnose missing provider webhooks across delivery, signature, endpoint, queue and reconciliation layers.

Diagnose flight cases where an order is confirmed but ticket/document issuance is incomplete by separating order, payment and fulfillment state.

Diagnose payment-booking divergence when payment succeeds while booking remains unknown or fails, then choose safe recovery and compensation.

Diagnose travel-provider partial outages where latency, timeouts or specific capabilities degrade without a total service failure.

Diagnose divergence between booking cancellation and payment refund state across amount, currency, partial refunds and provider evidence.

Diagnose stale availability and expired offers across freshness, cache, token and revalidation layers between search and booking.

Diagnose hotel tax and fee differences through explicit base/total semantics, currency handling, occupancy and market context.

Handle duplicate, delayed and out-of-order webhook events safely with deduplication, replay rules and idempotent state transitions.

Diagnose travel feed failures systematically across transport, schema, parsing, validation, persistence and downstream publishing.

Troubleshoot hotel room and rate-plan mapping failures using canonical identity, occupancy, meal, policy and contradiction evidence.

Diagnose duplicate, stale, incorrectly mapped and conflicting hotel imagery or amenity data using provenance and confidence.

Diagnose stale hotel offers and delayed feeds using freshness timestamps, ingestion lag, cache state and invalidation evidence.

Diagnose supplier properties linked to the wrong canonical hotel using lineage, match features and contradiction evidence.