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Atualizado em : Mar 29, 2017
N?O ENTROU NA EDI??O ATUAL
Este blip n?o est¨¢ na edi??o atual do Radar. Se esteve em uma das ¨²ltimas edi??es, ¨¦ prov¨¢vel que ainda seja relevante. Se o blip for mais antigo, pode n?o ser mais relevante e nossa avalia??o pode ser diferente hoje. Infelizmente, n?o conseguimos revisar continuamente todos os blips de edi??es anteriores do Radar. Saiba mais
Mar 2017
Evite ?

With the increasing popularity of the BFF - Backend for frontends pattern and use of one-way data-binding frameworks like React.js, we've noticed a backlash against REST-style architectures. Critics accuse REST of causing chatty, inefficient interactions among systems and failing to adapt as client needs evolve. They offer frameworks such as GraphQL or as alternative data-fetch mechanisms that let the client specify the format of the data returned. But in our experience, it isn't REST that causes these problems. Rather, they stem from a failure to properly model the domain as a set of resources. Naively developing services that simply expose static, hierarchical data models via templated URLs result in an anemic REST implementation. In a richly modeled domain, REST should enable more than simple repetitive data fetching. In a fully evolved RESTful architecture, business events and abstract concepts are also modeled as resources, and the implementation should make effective use of hypertext, link relations and media types to maximize decoupling between services. This antipattern is closely related to the pattern and results in services that rank low in . We have more advice for designing effective REST APIs in our Insights article

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Nov 2016
Evite ?

With the increasing popularity of the BFF - Backend for frontends pattern and use of one-way data-binding frameworks like React.js, we¡¯ve noticed a backlash against REST-style architectures. Critics accuse REST of causing chatty, inefficient interactions among systems and failing to adapt as client needs evolve. They offer frameworks such as GraphQL or as alternative data-fetch mechanisms that let the client specify the format of the data returned. But in our experience, it isn¡¯t REST that causes these problems. Rather, they stem from a failure to properly model the domain as a set of resources. Naively developing services that simply expose static, hierarchical data models via templated URLs result in an anemic REST implementation. In a richly modeled domain, REST should enable more than simple repetitive data fetching. In a fully evolved RESTful architecture, business events and abstract concepts are also modeled as resources, and the implementation should make effective use of hypertext, link relations and media types to maximize decoupling between services. This antipattern is closely related to the pattern and results in services that rank low in . We have more advice for designing effective REST APIs in our Insights article.

Publicado : Nov 07, 2016

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