Tuesday, April 30, 2024

10 best practices for REST API design LogRocket Blog

api design best practices

Multiple network calls slow down the process and creates higher connection overhead — which means higher operational costs. This is why it’s so important to minimize the number of API calls. You’ll want to keep your entire team updated as you make design decisions together. Your OpenAPI spec is your single source of truth, so make sure it is available in a place where everyone can see revisions and discuss changes.

Assign proper API versioning

You can send the spec document itself, or use tools to prototype your API or documentation. You could generate mock servers based on your spec, as described in another section, and have your consumers make live calls. While OpenAPI v3 is the most recent version of OpenAPI, it replaced OpenAPI v2 - previously known as Swagger. The newer version provides a simpler way to describe APIs, while also offering more flexibility.

api design best practices

Endpoint paths should be written with nouns rather than verbs

Mocks can also be used alongside API tests, which can be run manually, on a schedule, or automatically within CI/CD pipelines. There are tons of built-in HTTP status codes available to properly handle errors and convey the result of a client’s request. In this code, the handler checks if the req.method is 'GET'.

You’ve made it this far. Let’s build your first application

If you are planning to make changes to your API, always make sure to assign the proper version so that the client end does not break. You should provide options for clients to either continue using the previous version or try the newer one. A well-designed REST API should always accept and receive data in the JSON format. In this article, we’ll take a deeper look at the best practices for designing REST APIs to ensure the best performance possible.

We've defined all the properties that make up a workout including the type and an example. To read further and get some more best practices on that topic, I can suggest reading this article. There's one important thing I'd like to note here when it comes to caching. While it seems to solve a lot of problems for you, it also can bring some problems into your application. Once our cache is empty again (after two minutes) it has to be filled again.

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We don’t want errors to bring down our system, so we can leave them unhandled, which means that the API consumer has to handle them. The only exception is if we’re trying to send and receive files between client and server. Then we need to handle file responses and send form data from client to server. A REST API is an application programming interface architecture style that conforms to specific architectural constraints, like stateless communication and cacheable data. API-first is a development model in which applications are conceptualized and built with services that are delivered through APIs. Whereas companies that take a code-first approach might view APIs as afterthoughts, API-first companies design their APIs before they develop their applications.

How does API design support the API-first development model?

When you use OpenAPI to design your API, it becomes part of your workflow. That means as soon as you have even a single potential endpoint of your API described, you can begin to gather feedback and piece together how your API will be used. Rather than toiling away in an API silo, your API description allows for collaboration with colleagues and across departments. You can work the API description into your approval processes, so everyone is on the same page with its progress. Try Stoplight Platform to bring a design-first approach to your API workflow. The model you expose through an API is the conceptual model of the problem domain as seen by a client.

Apigee — Google Cloud’s native API management platform — helps you build, manage, and secure APIs — for any use case, scale or environment. Get started with Apigee today or check out our documentation for additional information. Your goal should be helping your customers be successful with your data, as quickly and easily as possible. Occasionally, that may mean breaking some "rules" of REST to offer simpler and more elegant interfaces.

Make use of REST

When I start building an API and there are no particular reasons to use a cache straight away, I leave it out and see what happens over time. When reasons arise to use a cache, I can implement it then. We can define a new cache by calling apicache.middleware and use it as a middleware inside our get route.

One thing that might go wrong is the database insertion Workout.createNewWorkout(). I like to wrap this thing in a try/catch block to catch the error when it occurs. Let's go one layer deeper into our workout service and see what potential errors might occur. A developer who is consuming the API is now better informed about what to look for.

On top of that it gets the member id and the endpoint to fetch information about that member. As you can see, logical nesting makes sense when you have resources that can be tied together. Theoretically you can nest it how deep you want, but the rule of thumb here is to go three levels deep at a maximum. For example, there is a workout where you have to do a certain order of exercises as quickly as possible. We record the times for all members to have a list of the time for each member who completed this workout.

Resist the temptation to manipulate objects as strings, or use regular expressions to get the data you need. Programmers can still maintain language flexibility, but they will use the library to either extract data from or add data to the payload. Below is a simple client program in Python that gets a response object, examines it for an error, and prints a specific element from the JSON. The most important takeaways for designing high-quality REST APIs is to have consistency by following web standards and conventions.

Bug corrections are difficult and updates become a nightmare. Poor server-side coding will result in increased maintenance costs.There are many commercial offerings that assist with API design but again, there is no substitute for common sense. Before getting started with a REST API design, you need a Functional Specification. It might include a few mockup screenshots and information flow diagrams, but it is essentially a high-level document. By contrast, the API design gets into the nitty-gritty of how it works.

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