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4 types of API testing 🧪🧵👇 
There are many ways to test an API, and each one serves a unique purpose.
The list represents four of the most common approaches, but there are endless variations within each category that teams can use to build a customized API testing strategy.
The list represents four of the most common approaches, but there are endless variations within each category that teams can use to build a customized API testing strategy.
1. Contract testing
An API contract is a human- and machine-readable representation of an API's intended functionality.
It establishes a single source of truth for what each request and response should look like and forms the basis of SLAs between producers and consumers.
An API contract is a human- and machine-readable representation of an API's intended functionality.
It establishes a single source of truth for what each request and response should look like and forms the basis of SLAs between producers and consumers.
API contract testing helps ensure that new releases don't violate the contract by checking the content and format of requests and responses.
2. Unit testing
API unit testing confirms that a single endpoint returns the correct response to a given request.
Unit tests may validate that an endpoint handles optional parameters correctly, or that it returns the appropriate error message when sent an invalid request.
API unit testing confirms that a single endpoint returns the correct response to a given request.
Unit tests may validate that an endpoint handles optional parameters correctly, or that it returns the appropriate error message when sent an invalid request.
3. End-to-end testing
End-to-end tests validate key user journeys that may involve multiple endpoints and APIs.
This involves chaining requests together and confirming that each one is working properly, which helps teams surface issues in complex workflows before users do.
End-to-end tests validate key user journeys that may involve multiple endpoints and APIs.
This involves chaining requests together and confirming that each one is working properly, which helps teams surface issues in complex workflows before users do.
4. Load testing
API load testing enables developers to confirm whether their API is able to operate reliably during times of peak traffic.
It typically involves using a testing tool to simulate large request volumes and measure the resulting response times and error rates.
API load testing enables developers to confirm whether their API is able to operate reliably during times of peak traffic.
It typically involves using a testing tool to simulate large request volumes and measure the resulting response times and error rates.
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Want more #apitesting info? Check out our guide: postman.com/api-platform/a…
Want more #apitesting info? Check out our guide: postman.com/api-platform/a…
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