![]() With Newman, you can run it in your private cloud or internal data centers.įor one-off tests, this may not be the biggest issue, but when you want to integrate with CI/CD pipelines, this is additional infrastructure you will have to consider. Perhaps the biggest limitation of Postman is the lack of a cloud option. It’s much better than not using mocks, but it does add some cognitive load to your load tests.Ĭombine this with the fact that mocks often have to be updated, especially if you’re mocking internal APIs, it can quickly become quite the task to manage. Using our previous load test scenario of a cart service, you’ll have to configure the service (either directly or via environment variables) to use the new URL when contacting the Stripe API. In essence, Postman will generate a URL that will return whatever response you’ve configured. While Postman does support mocking functionality, it’s far from an automated experience. This can result in insufficient stress tests, as the requests are being sent in isolated instances. It can be argued that Postman doesn’t support “true” load testing, as it waits to check the response time for a request before sending the next one. However, there are certain limitations you need to consider before going through the effort of using Postman. Limitations of using Postman for load testingĪt this point, it should be apparent that performing load tests with Postman is by all means possible. If your CI/CD provider isn’t on this list, it’s also possible to get started by using the Newman library. They’ve developed integrations directly for a number of CI/CD providers. Postman provides two ways of accomplishing this. However, efficient teams may consider integrating load tests in their CI/CD pipelines directly, ensuring with every commit that the service still performs as expected. Integrating with CI/CDīeing able to run a load test locally is a great first step, and allows teams to verify the resilience of a service at a moment’s notice. Later in this blog post, in the section about implementation, you’ll see how mocks are actually created in Postman. While Stripe does offer a sandbox API specifically for testing, you can still run into rate-limiting issues, which is very likely to happen during a load test. This service will, of course, need to handle payments, and in this imaginary case, your service is using Stripe. ![]() Imagine you’re running an e-commerce site with a microservice architecture and one of those microservices is the cart service. ![]() In fact, mock APIs can enhance your development experience in general.Ĭombining load testing and mocks is the best way of ensuring that you’re only load testing a single service. The use of mock servers can greatly enhance your load testing experience. Postman decided to implement this functionality with the Postman Collection Runner, which allows you to run requests from a Collection in a specified order. But without being able to generate a given number of requests at a time, it’s impossible to perform a load test. For the load test to work, you need to run all the tests at once to create a significant load.Īs you start working with load testing, you’ll find that the configurations can get very advanced and complex. ![]() However, there’s one feature you’ll find in every load testing tool: the ability to generate requests. Load testing is an entire subject in itself. Because of this, some key features have been introduced, allowing users to verify performance and resilience as well. While this test scenario is still valid and useful, the team at Postman realized that many users were interested in a different use case: Postman performance testing. However, Postman was initially only meant to test API requests one at a time. Postman Collections, in particular, became one of the optimal tools for testing API requests during development, as Collections allow you to group requests together, such as all possible requests for a given API. The most common use case for Postman is to simply test or verify individual API requests. They also support SOAP, for those still working with that. Postman’s load testing featuresĪs a tool to test APIs, Postman aims to test any type of API you might be working with and currently supports the three major protocols: REST, gRPC, and GraphQL. If not, you can find many great resources in the Postman Learning Center. In this post, it’s assumed that you have at least some experience working with Postman and are familiar with the basics of creating and sending requests. While using it for general API testing has widespread adoption, load testing using Postman is not so straightforward. Postman is highly popular in the testing tools space verifying API requests.
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