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Integration concept

What Is Integration Monitoring?

What integration monitoring covers, how it differs from application monitoring, the key metrics for ecommerce-ERP integrations, and how it prevents silent data loss.

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1 min read

Short answer

Integration monitoring tracks whether data is flowing correctly between systems — not just whether services are running. It covers infrastructure health, pipeline metrics such as throughput, failure rates, and the age of the oldest pending item, and business checks that confirm orders, stock, and totals match. Its main purpose is to detect silent failures quickly, before customers or finance teams find them.

Integration monitoring is the practice of observing an integration closely enough to know, at any moment, whether data is flowing completely and correctly between systems. It goes beyond checking that servers are up: it checks that orders, stock, and shipments are actually arriving where they should.

Why integrations need dedicated monitoring

Integrations fail differently from user-facing applications. When a website breaks, users notice. When an integration breaks, the store keeps taking orders and the ERP keeps running — they just stop agreeing. The gap can grow for days.

The three levels

  1. Infrastructure: services running, dependencies reachable, credentials valid, certificates current.
  2. Pipeline: events received, jobs completed, queue depth, age of the oldest pending job, failure rates, retries, dead-letter arrivals, end-to-end latency.
  3. Business outcome: every store order has an ERP order; daily totals match; inventory drift is low; shipments are reflected in the store.

Key signals

  • Age of oldest unprocessed item — the best single measure of business delay.
  • Expected traffic — alert when a normally busy flow goes quiet.
  • Failure rate vs. baseline — detects regressions after deployments.
  • Review and dead-letter queue age — detects neglected failures.
  • Reconciliation results — detects incorrect data that “succeeded.”

Traceability

Monitoring should let anyone answer “what happened to order #1042?” in one search. That requires correlation IDs on every event and log line and a permanent link between source and target records.

Summary

Integration monitoring checks that data flows completely and correctly, across infrastructure, pipeline, and business levels. Its value is catching silent failures early. For metrics, thresholds, and dashboards, see how to design an integration monitoring system.

Frequently asked questions

How is integration monitoring different from uptime monitoring?

Uptime monitoring tells you a service responds. Integration monitoring tells you data is actually moving and is correct. An integration can be fully up while processing nothing.

What is a silent failure?

A failure that produces no visible error — for example, a removed webhook subscription, a mapping that drops a field, or a job that stops being scheduled. Business-level checks and expected-traffic alerts catch these.

Who should receive integration alerts?

Route technical alerts to engineering and data or process alerts to operations. Each alert should have a clear owner and expected response time.

Sources and further reading

Platform-specific statements on this page were checked against these sources on . Vendor APIs change; confirm details in the current documentation before you build.

  1. [1] Google SRE Book — Monitoring distributed systems — Google
  2. [2] OpenTelemetry documentation — OpenTelemetry (CNCF)