Stress test api postman8/31/2023 ![]() Before running the first tests on your API, you should be able to have answers for: You can probably get this data either directly from your API server logs or from any application performance tool you are using (such as New Relic). It’s not very useful to know that your API can keep up with 400 requests per second if you don’t know whether your real traffic will be higher or lower than that or if the load will be uniform across all endpoints.įor that reason, you should start by gathering usage data from your API. Load tests are most useful if the workload that is being tested is as similar as possible to the one that your API will be handling in real life. /pick – returns a random pair of question and answer./question – returns a random black card.This is a Node.js API for the Cards Against Humanity game. It could be a general test of all your API endpoints, a single one of them, or a subset that you might want to troubleshoot and improve.įor the rest of this article, we’re going to use a sample API in all our tests. Let’s go then! PreparationĪ good starting point is always to decide what will be tested. We’ll start with a simple, unmeasured API and progress to add an access control layer and make sure that everything is battle-tested and ready to handle production traffic. This article will focus on describing how to successfully run a load test on your API. For APIs, the process to measure and improve the performance is load or stress testing. And we know that the only true way to improve towards a goal is by carefully picking key metrics, and iteratively measuring and tweaking your system until the stated goals are met. We could go as far as to say that the best feature your API can have is great performance. Performance matters a great deal, and more so in a world of microservices, which means the source of what a client application shows is probably being aggregated from multiple APIs behind the scenes. Or even worse, if their performance is unreliable. It doesn’t matter how extremely well built your front-end applications are if the API data sources take several seconds to respond. This increase in criticality entails a direct consequence: performance of APIs really matters now. ![]() However, APIs have slowly moved towards the critical path between an end-user and the service a company offers. When APIs were only used for back-office tasks such as extracting reports, their performance was never a key factor. Nowadays, APIs often are the core system of a company, one on top of which several client – web and mobile – applications are built. Not long ago, web APIs were mainly used as simple integration points between internal systems. The role of APIs has evolved a lot over the past few years.
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