How to Measure Why Integrations Fail

Error composition by category supplements overall integration success rates by identifying the root causes behind failed executions and helping teams prioritize targeted remediation. It measures both category error rate, calculated against all executions to show portfolio exposure, and category share of errors, calculated against failed executions to show the failure mix. Each failed business execution should receive one mutually exclusive primary category, retries should not be counted as separate executions, and unknown failures should remain explicitly classified until evidence supports a more specific cause. A practical taxonomy can begin with authentication, API 5xx and non-429 4xx errors, rate limits, data or transformation errors, and unknowns, with additional categories introduced only when they require distinct responses. Results should be tracked over time and segmented by integration, connector, and customer because portfolio averages can conceal problems concentrated in particular systems or high-value accounts. Prismatic provides execution logs, history, contextual failure data, retry capabilities, and optional external log streaming, while teams remain responsible for defining categories, measurement rules, and reporting practices.

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