Telemetry
SQL recipe collection

Webhooks SQL recipes

Analyze webhook delivery, processing latency, retries, permanent failures, duplicate handling, and downstream effects.

Common event contract

Fields that keep these queries reusable

  • timestamp_utc, provider, event_type, delivery_id, and status
  • attempt, latency_ms, status_code, and idempotency_outcome
  • downstream_job_count, error_type, and environment

Definitions before SQL

Decisions the query cannot make for you

  1. 1Store provider identifiers, not raw webhook payloads or signatures.
  2. 2Distinguish delivery attempts from the final outcome of one webhook.
  3. 3Define whether an acknowledged duplicate is a success or a separate outcome.

Recommended sequence

Build detection first, then diagnosis

Analysis patterns

Make the result explain a decision

Follow one delivery end to end

Use a stable delivery identifier to connect receipt, validation, acknowledgement, retries, processing, and the downstream effect.

Distinguish attempts from outcomes

An attempt-level error is different from a permanently failed webhook. Keep both so recovery rates remain interpretable.

Verify idempotency

Track duplicate recognition and downstream side effects to confirm that retries do not repeat business operations.

Complete recipes

Copy the query, then validate the assumptions

Intermediatewebhook_deliveries

Measure Webhook Retry Recovery

Separate permanent webhook failures from deliveries that recovered on a later attempt.

Are webhook retries recovering failures or creating more work?

See SQL and result
Intermediatewebhook_deliveries

Measure Webhook Latency and Duplicate Rate

Compare processing latency, duplicate deliveries, and failures by webhook provider and event type.

Which webhook sources are slow, duplicated, or unreliable?

See SQL and result
Advancedwebhook_lifecycle_events

Measure Webhook End-to-End Completion

Follow each webhook from receipt through downstream completion and measure the share that finishes within an operating target.

Which webhook types finish their downstream work within five minutes?

See SQL and result

Adapt the event contract before the threshold

Keep the analysis pattern, but validate table names, field types, business definitions, time windows, and minimum-volume rules against your own events. Every published query is also planned and executed against an empty typed table with the pinned engine.