Why GraphQL Is Excellent as Information Layer for Microservices




GraphQL and microservices architectures are completely appropriate. You should utilize GraphQL as an information layer for these microservices and mix knowledge from all these companies into one common API. This fashion, you may break the core of your companies into completely different microservices whereas nonetheless offering one endpoint that your shoppers can work together with. Earlier than diving into GraphQL, let’s discover what microservices are and why it may be useful so as to add GraphQL.



Why Microservices?

Microservices are an ideal methodology to separate your important companies into smaller companies as an alternative of 1 monolith APIs. Microservices are purported to be unbiased companies that don’t have any direct reference to one another. Sometimes these companies will all have their API, both REST or GraphQL, consumable from a shopper.

When utilizing an information layer on your microservices, it serves as the one entry level for shoppers who eat your APIs. By way of the info layer all of the shoppers’ requests are processed and forwarded to the proper microservice. Subsequently the shopper would not should name all these microservices individually. The method of utilizing an information layer as entry level for microservices is completely different from the BFF (Backend-For-Frontend) sample, the place different shoppers will work together with completely different endpoints.

Microservices with API Data Layer

Utilizing an information layer for microservices is nice as a result of it enables you to:

  • Conceal the microservice structure from the shopper that interacts with it.
  • By offering a single API it reduces the variety of requests out of your shoppers. Solely the API of the info layer will likely be known as.
  • Simplifies the expertise to eat your APIs.

You needn’t use GraphQL if you need to have an API knowledge layer on your microservices, however it’s a excellent match, as you will study within the subsequent part.



GraphQL as Information Layer

There’s a entire vary of companies and options out there to create an information layer on your microservices. Most of those aren’t made for GraphQL, whereas GraphQL is a superb answer to construct this API knowledge layer. In the event you’re not accustomed to GraphQL but, take a look right here, the place it is defined intimately. GraphQL can be utilized in each a microservices structure and when you’ve got a monolith.

Suppose you’ve got three microservices in your structure, companies 1 to three. Or a service for authentication, customers and posts. In your shopper, you need to authenticate a consumer and present all of the posts of this consumer. The diagram under reveals what requests it is advisable to make from a shopper in a microservices structure with no knowledge layer that companies as an common API.

Microservices architecture example

The primary service a shopper at all times must work together with is the authentication service. This service can get an OAuth token that’s required to confirm the requests despatched to the opposite two companies. With out an API knowledge layer that bundles all of the APIs of the microservices, you will ship and obtain not less than six community requests as microservices will not be in direct contact with different microservices.

GraphQL can remedy this downside for monolith APIs based on REST and for a microservice structure when it is carried out as an information layer. With GraphQL, you may assemble a question to retrieve each the consumer and posts of that consumer in a single request. The API knowledge layer will ship the proper requests to the microservices for customers and posts and sew the info into one response.

Microservices with GraphQL API Data Layer

The advantages of getting an information layer, that you will discover within the earlier part, are all relevant to GraphQL. It hides the underlying microservice construction, can be utilized to create a single endpoint for all of your microservices, and the expertise for these consuming the APIs is easy. Apart from this, GraphQL additionally comes with a wealthy ecosystem of tooling that you need to use in your shopper(s) to work together with the API knowledge layer by way of GraphQL. Combining all these requests can result in elevated response time, however this value is usually insignificant.

A downside of the info layer sample is the elevated complexity it brings with it. The info layer must be constructed, maintained, and deployed when the underlying microservices are up to date. Constructing this may be very time-consuming for smaller groups. However if you’re utilizing StepZen as this API knowledge layer, it can save you your staff lots of time. Let’s learn the way easy it’s to implement a GraphQL knowledge layer with StepZen.



Implementing a GraphQL Information Layer

With StepZen, you may implement such an information layer that serves as common API on your microservices. Utilizing one thing known as directives, you may hyperlink any microservice that exposes a REST or GraphQL API. Your shopper can then question all of your microservices in a single API whereas additionally hiding your underlying microservice structure.

In case your microservices expose REST APIs, the @relaxation directive will allow you to hyperlink them to a GraphQL operation. As compared, you need to use the @graphql directive for GraphQL APIs. Most microservices are presently exposing REST APIs, so let’s begin there.

The primary microservice it is advisable to work together with is the authentication service, to which we have to ship credentials to obtain a token again. The StepZen configuration for this can look one thing like the next:

sort Auth {
  id: Int!
  access_token: String!
}

sort Question {
  token: Auth
    @relaxation(
      endpoint: "https://my.api.com/api/token?grant_type=client_credentials&client_id={{.Get "client_id" }}&client_secret={{.Get "client_secret" }}"
      configuration: "client_credentials"
    )
}

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This configuration provides a question to get the authentication particulars from the authentication server utilizing a mix of a refresh token, shopper id, and shopper secret, which is a normal implementation for OAuth companies. The customers and posts companies can use the returned entry token for authentication.

You should utilize the @sequence directive inside a StepZen configuration file for the customers’ service. The @sequence directive is a strong one that permits you to chain a set of operations, comparable to a question. From the consumer’s service, you will get the token from this token question and, subsequently, get the info for this consumer. Responses of the operations will are forwarded to the following operation within the chain, the place you need to use it as arguments as seen under:

sort Consumer {
  id: Int!
  title: String!
}

sort Question {
  consumer(id: Int!, access_token: String!): Consumer
    @relaxation(
      endpoint: "https://my.api.com/api/customers/$id/"
      headers: [{ name: "Authorization", value: "Bearer $access_token" }]
    )

  getUser(id: Int!): Consumer
    @sequence(steps: [{ query: "token" }, { query: "user" }])
}
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The getUser operations will chain the token and consumer queries. The entry token from the token question response can be utilized as an argument within the consumer question. For the posts service, the implementation is analogous, as that service additionally wants the entry token to confirm the requests.

Though it is a fundamental implementation for GraphQL as an API knowledge layer for microservices, it validates how StepZen can play an important position in creating this common API. You’ll find a extra in-depth step-by-step instance of utilizing the @sequence directive in this post. Preserve following our weblog for an upcoming put up with the total implementation of StepZen as a GraphQL API knowledge layer.

Need to study extra about StepZen? Attempt it out right here or ask any query on the Discord here.



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