GraphQL, gRPC, REST and WebHooks are among a bewildering array of technologies and architectural styles that are available to API developers today. Presented with such myriad options, how can we be confident of making an appropriate decision for the problem at hand? In search of guidance, developers often turn to online communities. This can exacerbate the problem as discussions about API styles often descend into statements about the superiority of one approach over another being presented as universal truths. Such comments invariably earn emotive rebuttals that also lack sufficient nuance. The result of such exchanges is increased confusion and uncertainty. Join me on a tour of these API styles where we will cut through this noise, demonstrate where each style shines (plus where they don’t!) and ultimately resolve this dilemma of choice.
#graphql #grpc #rest #api
The REST acronym is defined as a “REpresentational State Transfer” and is designed to take advantage of existing HTTP protocols when used for Web APIs. It is very flexible in that it is not tied to resources or methods and has the ability to handle different calls and data formats. Because REST API is not constrained to an XML format like SOAP, it can return multiple other formats depending on what is needed. If a service adheres to this style, it is considered a “RESTful” application. REST allows components to access and manage functions within another application.
REST was initially defined in a dissertation by Roy Fielding’s twenty years ago. He proposed these standards as an alternative to SOAP (The Simple Object Access Protocol is a simple standard for accessing objects and exchanging structured messages within a distributed computing environment). REST (or RESTful) defines the general rules used to regulate the interactions between web apps utilizing the HTTP protocol for CRUD (create, retrieve, update, delete) operations.
An API (or Application Programming Interface) provides a method of interaction between two systems.
A RESTful API (or application program interface) uses HTTP requests to GET, PUT, POST, and DELETE data following the REST standards. This allows two pieces of software to communicate with each other. In essence, REST API is a set of remote calls using standard methods to return data in a specific format.
The systems that interact in this manner can be very different. Each app may use a unique programming language, operating system, database, etc. So, how do we create a system that can easily communicate and understand other apps?? This is where the Rest API is used as an interaction system.
When using a RESTful API, we should determine in advance what resources we want to expose to the outside world. Typically, the RESTful API service is implemented, keeping the following ideas in mind:
The features of the REST API design style state:
For REST to fit this model, we must adhere to the following rules:
#tutorials #api #application #application programming interface #crud #http #json #programming #protocols #representational state transfer #rest #rest api #rest api graphql #rest api json #rest api xml #restful #soap #xml #yaml
I’ve been working with Restful APIs for some time now and one thing that I love to do is to talk about APIs.
So, today I will show you how to build an API using the API-First approach and Design First with OpenAPI Specification.
First thing first, if you don’t know what’s an API-First approach means, it would be nice you stop reading this and check the blog post that I wrote to the Farfetchs blog where I explain everything that you need to know to start an API using API-First.
Before you get your hands dirty, let’s prepare the ground and understand the use case that will be developed.
If you desire to reproduce the examples that will be shown here, you will need some of those items below.
To keep easy to understand, let’s use the Todo List App, it is a very common concept beyond the software development community.
#api #rest-api #openai #api-first-development #api-design #apis #restful-apis #restful-api
APIs can be as simple as 1 endpoint for use by 100s of users or as complex as the AWS APIs with 1000s of endpoints and 100s of thousands of users. Building them can mean spending a couple of hours using a low-code platform or months of work using a multitude of tools. Hosting them can be as simple as using one platform that does everything we need or as complex as setting up and managing ingress control, security, caching, failover, metrics, scaling etc.
What they all have in common are three basic steps to go from nothing to a running API.
Each of these steps has its own set of tools. Here are some I’ve used and popular alternatives.
REST is the most popular API interface and has the best tooling. Our design output for REST services always includes an OpenAPI specification. The specification language can be tricky to get right in JSON (how many curly brackets?) or YAML (how many spaces?) so a good editor saves a lot of time.
Four popular ones are:
I’ve only used Swagger and Postman but both Insomnia and Stoplight look interesting. All of them offer additional functionality like documentation, testing and collaboration so are much more than just specification generators.
#api #apis #api-development #restful-api #rest-api #development-tools #app-development-tools #developer-tools
Opencart REST API
OCRESTAPI Module allows the customer purchasing product from the website it just like E-commerce APIs its also available mobile version APIs.
Opencart Rest APIs List
Customer Registration GET APIs.
Customer Registration POST APIs.
Customer Login GET APIs.
Customer Login POST APIs.
Checkout Confirm GET APIs.
Checkout Confirm POST APIs.
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Get Current Balance Rest API
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Get Commissions List Rest API
Withdrawal Request Rest API
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