Guide · 18 Feb 2026
Integration health monitoring for Shopify production (what to measure before customers notice)
Signals, thresholds, and runbooks so webhook and API failures become visible work — instead of silent drift in fulfilment and finance.
Monitoring is not logs you never open
Healthy integrations have:
- a small set of SLI-style metrics (success rate, latency, backlog depth),
- alerts with owners,
- and runbooks that do not require the original engineer to be online.
If your only “monitoring” is a customer complaining on day three, you are flying blind.
Minimum metrics that matter
Inbound webhooks
- verification failures (often config drift),
- handler exceptions,
- retry storms,
- queue age (if queued).
Baseline reading: Reliable Shopify webhooks
Outbound Admin API jobs
- 429 rate,
- error classes by endpoint,
- job duration and batch size,
- partial completion counts.
Baseline reading: Bulk ops and rate limits
Downstream side effects
- duplicate downstream IDs (should be near zero),
- “stuck” states (created but never completed),
- manual corrections per 1,000 orders.
Baseline reading: Idempotency keys
Make scenarios need monitoring too
Make is production software when it moves money or inventory. Treat scenarios like services:
- scheduled health checks,
- scenario-level error notifications,
- and periodic audits when upstream APIs change.
Guide: Make as ops glue
When to build an internal health dashboard
If failures require correlating three systems to understand root cause, a custom app dashboard often pays off: one place for support and ops to see “what happened to order X”.
Next step
Send your top three integrations and where pain shows up first (support, warehouse, finance). We will propose a monitoring slice that fits your team.
Services: API integrations · Contact: Contact.