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. One of those microservices is the cart service. Imagine you’re running an e-commerce site with a microservice architecture. 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. Creating Mock ServersĪs an example of more advanced features implemented by load testing tools, the use of mock servers can greatly enhance your load testing experience. Postman decided to implement this functionality with their Collection Runners, a way of running 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, new features have been integrated into Postman, allowing users to verify performance and resilience as well. While that has been and still is a very valid use case, the team at Postman also realized that many users are interested in verifying the resilience of APIs, also known as load testing. This is still a very useful use case, as it allows you to manually verify the response from your API. However, Postman was initially only meant to test API requests one at a time. With the introduction of Collections, in particular, Postman 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 as a tool 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. But, while using Postman for general API testing has widespread adoption, many are still unsure of how to use it for load testing. Postman is a highly popular tool for testing and verifying API requests.
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