Rest Fielding Thesis

Rest Fielding Thesis-86
Using resources and representations is easily achieved, and with self-descriptive formats like JSON and XML, the third constraint is also very clear. “Hypermedia as the engine of application state” is not explained in the dissertation, but on his blog Fielding specified it further: This means that HATEOAS should guide a user through the interface by offering control alongside the data.A client would use these to navigate through the interface dynamically.In an ideal REST interface, the client should only know the root URI and can browse and use the entire interface by following links if it knows all the media-types that the server uses for his representations.

Using resources and representations is easily achieved, and with self-descriptive formats like JSON and XML, the third constraint is also very clear. “Hypermedia as the engine of application state” is not explained in the dissertation, but on his blog Fielding specified it further: This means that HATEOAS should guide a user through the interface by offering control alongside the data.A client would use these to navigate through the interface dynamically.In an ideal REST interface, the client should only know the root URI and can browse and use the entire interface by following links if it knows all the media-types that the server uses for his representations.

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" with emphasis on the architectural constraints that protected the induced properties of the web.

In 2008, Leonard Richardson introduced his maturity heuristic for evaluating web services. When people design a web service they tend to pick some technologies from the bottom of the stack.

We had applications to transfer documents across a network prior to HTTP -- file transfer protocol, gopher, wais...

all of which had negligible penetration into the general public.

Participation in the business protocol is limited to those components in the conversation that recognize this particular interface; in short, you can't achieve scale with out-of-the-box standard http components.

The design at the bottom has a REST character: endpoints (resources), but the business protocol is executed by via a constrained set of messages (ie, the uniform interface) that have well specified semantics.It is very refreshing to see some new tools for creating APIs with a more flexible mindset or a different set of goals like Graph QL or GRPC.Most of all, everybody should realize that REST is not the only choice anymore, and it is not always the best choice.By moving the protocol complexity from the messages to the resources, message exchange becomes business protocol agnostic -- you can achieve scale with standard components because they can participate in the exchange of representations without needing any specialization at all.The notion of the uniform interface is critical in the success of the web; it's the constraint that allows clients (browsers, crawlers) and intermediaries (caches, reverse proxies) to develop independently of servers.It uses resources, representations and self-descriptive messages and is subject to some great constraints.However, the main benefit of HATEOAS does not work in practice.In the talk I described how we can implement rich and interesting business processes in (RESTful) Web applications, but only if we think in terms of protocol resources, not coarse-grained domain resources.By embracing the Web as first and foremost a web of data, an open set of resource representations manipulated in the same-old-same-old ways using a closed set of verbs, our designs capture the behaviours most CRUD-based, data-centric applications so sorely lack.But if your clients don’t use your API in the correct way, HATEOAS becomes completely useless.In the end, this means that REST is not that different from RPC.

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