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Full Data Integration Metrics entry
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How to use Data Integration Metrics as routine ops

The pattern: weekly review of the page, monthly investigation of trends, alerts on critical metrics. The discipline is the difference between integrations that stay healthy and integrations that surprise the team during incidents.

By Dipojjal Chakrabarti · Founder & Editor, Salesforce DictionaryLast updated May 18, 2026

The pattern: weekly review of the page, monthly investigation of trends, alerts on critical metrics. The discipline is the difference between integrations that stay healthy and integrations that surprise the team during incidents.

  1. Open Data Integration Metrics weekly

    Setup, Integrations, Data Integration Metrics. Scan the trends. Note any metric trending in the wrong direction over the past week.

  2. Check API request volume against the daily limit

    Approaching 80 percent of the 24-hour limit is the procurement or optimization trigger. Catch it weeks before exhaustion.

  3. Investigate trending Bulk API failure rates

    Cross-reference with Bulk Data Load Jobs to identify the specific failing job. Fix the underlying integration; do not let the failure rate normalize.

  4. Monitor CDC and Platform Events delivery rates

    Delivery rate below 95 percent signals a subscriber issue. Coordinate with the subscriber team; events queue but the queue overflows eventually.

  5. Watch Salesforce Connect external object latency

    Rising latency signals external system degradation. Coordinate with the external system owner before users complain.

  6. Build alerts on the critical metrics

    API limit at 80 percent, Bulk failure rate above threshold, CDC delivery rate below threshold. Alerts catch degradations between weekly reviews.

  7. Document the weekly review as ongoing ops

    The page only matters if someone reviews it. Calendar entry, named owner, weekly review of 15 minutes. The discipline produces healthy integrations.

Review cadenceremember

Weekly for most orgs; daily for high-volume integration-heavy orgs.

Alert configurationremember

Custom Flow or report-driven alerts on critical metrics (API limit, failure rates).

Metric scoperemember

Bulk API, REST/SOAP API, Streaming, CDC, Platform Events, Salesforce Connect. Pick the relevant subset per org.

Trend windowremember

24-hour, 7-day, 30-day views. Pick based on the metric's signal cadence.

Integration inventoryremember

Documented list of expected integrations with owner and purpose. Required for trend investigation.

Gotchas
  • The page does not name specific integrations. Combine with Bulk Data Load Jobs and Connected Apps OAuth Usage to identify the source of trends.
  • API limit exhaustion produces immediate integration failures with no recovery until midnight UTC. Catch the trend weeks before; do not wait for exhaustion.
  • CDC and Platform Events queue events when delivery fails but the queue is bounded. Subscriber outages beyond the queue lifetime lose events permanently.
  • Salesforce Connect latency depends on external systems Salesforce does not control. Coordinate root cause with external owners; do not blame Salesforce when the external is slow.
  • Without integration ownership, trend investigation stalls. Maintain an integration inventory with owner per integration; trends without owners become orphans.

See the full Data Integration Metrics entry

Data Integration Metrics includes the definition, worked example, deep dive, related terms, and a quiz.