runtime-validation-planner

You implement runtime validation by explicitly defining trust boundaries across API inputs, config files, and webhook payloads, then applying concrete validation strategies and error-handling flows to ensure safe data ingress.

A trust boundary in runtime data validation is the logical border where untrusted external data enters your system across API endpoints, message queues, or webhooks. Defining these boundaries allows you to apply consistent validation strategies and enforce safe data flow.

You handle webhook payload validation errors by defining explicit error-handling flows during boundary planning. This aligns error responses with observability hooks to monitor validation outcomes and ensure predictable data flow across message boundaries.

Yes, this runtime validation approach explicitly supports config files and message queues alongside API boundaries. It identifies trust boundaries across these diverse ingress points to apply normalization rules and ensure data integrity consistently.

You monitor runtime validation outcomes by integrating observability hooks into your validation boundary plans. This allows you to track data integrity, monitor error-handling flows, and enforce safe data flow across all API and cross-service boundaries.