
API Schema Evolution and Silent Data Corruption
transcript
show notes
We examine how API schema evolution prevents silent data corruption in modern distributed systems. With the S&P 500 hovering near record highs in September 2026, tech companies are prioritizing system stability over rapid feature deployment. Lucas and Luna break down a specific case where a missing null-check in a GraphQL resolver caused financial discrepancies across three major payment processors. We explore practical strategies for backward-compatible changes, including additive-only field modifications, deprecation headers, and contract testing frameworks that catch breaking changes before they hit production. This episode offers concrete advice for engineering leaders looking to reduce incident rates while maintaining agile development cycles.
#FexingoBusiness #BusinessPodcast #Technology #APIManagement #SoftwareEngineering #DataIntegrity #SchemaEvolution #GraphQL #REST #SystemDesign #BackwardCompatibility #ContractTesting #TechLeadership #DevOps #SoftwareArchitecture #DigitalTransformation #EngineeringCulture #CodeQuality