Troubleshooting
Diagnose common integration symptoms using a symptom-to-cause-to-action workflow.
#Purpose
Provides an operational troubleshooting matrix for high-impact production integration issues.
#Integration prerequisites
- Access to logs, metrics, event history, and reconciliation data.
- Known-good baseline metrics and normal operating ranges.
- Escalation contacts for engineering, merchant ops, and compliance.
#Request and response patterns
Collect failing request samples with status codes, request IDs, latency, and normalized error classes before intervention.
#Lifecycle and state model
- Symptom: payments remain pending longer than expected | Probable cause: event ingestion lag | Corrective action: inspect webhook retries, replay failed events, and verify consumer acknowledgements.
- Symptom: duplicate records in merchant system | Probable cause: non-idempotent replay handling | Corrective action: enforce event and request deduplication by stable keys.
- Symptom: repeated unauthorized responses | Probable cause: expired or rotated credentials not deployed | Corrective action: verify key version rollout and revoke stale credentials.
- Symptom: reconciliation variance grows daily | Probable cause: cutoff mismatch or missing terminal events | Corrective action: align windows and backfill missing state transitions.
#Error and failure taxonomy
- Configuration faults (endpoints, credentials, feature flags).
- Data integrity faults (schema mismatch, duplicate processing).
- Dependency faults (throttling, latency spikes, transient outages).
#Retry and idempotency guidance
During incidents, pause automatic retries for uncertain terminal classes until safe replay boundaries are confirmed.
#Observability and debugging entry points
- Incident timeline with request and event correlation IDs.
- Before/after metrics proving corrective action effectiveness.
- Post-incident runbook updates to prevent recurrence.