Information Holder Resource
How can domain data be exposed in an API, but its implementation still be hidden? How can an API expose data entities so that API clients can access and/or modify these entities concurrently without compromising data integrity and quality?
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- 2026-10-10
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Data Element microservice-api-patterns.org
How can domain/application-level information be exchanged between API clients and API providers without exposing provider-internal data definitions in the API? How can API client and API provider be decoupled from a data management point of view?
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Reference Data Holder microservice-api-patterns.org
How should data that is referenced in many places, lives long, and is immutable for clients be treated in API endpoints? How can such reference data be used in requests to and responses from Processing Resources or Information Holder Resources?
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Operational Data Holder microservice-api-patterns.org
How can an API support clients that want to create, read, update, and/or delete instances of domain entities that represent operational data: data that is rather short-lived, changes often during daily business operations, and has many outgoing relations?
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Wish List microservice-api-patterns.org
How can an API client inform the API provider at runtime about the data it is interested in?
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Context Representation microservice-api-patterns.org
How can API consumers and providers exchange context information without relying on any particular remoting protocols? How can identity information and quality properties in a request be made visible to related subsequent ones in conversations?
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Linked Information Holder microservice-api-patterns.org
How can messages be kept small even when an API deals with multiple information elements that reference each other?
Integration › Integration Patterns > Microservice API Patterns: “How can domain data be exposed in an API, but its implementation still be hidden? How can an API expose data entities so that API clients can access and/or modify these entities concurrently without compromising data integrity and quality?”