![]() ![]() Which you can easily trigger in your CI/CD or using Testkube’s more user-friendly UI to have a better look at the state of your tests. Running tests from inside your cluster is the best way to ensure reliable tests that allow you to bypass issues involving connectivity to your cluster. Seamlessly hop between API, UI, load tests, and more, using tools like () or (), for truly holistic Kubernetes testing. Testkube works great with () collections, but it also supports 11+ additional tools, platforms, and plugins to help you centralize your test orchestration and reporting on a single UI. (), without the headache of Docker configurations, and execute your API tests from inside your cluster. It’s the most complete and developer-friendly test executor you could ever hope for as a developer or tester. Think of Testkube as a “bridge” between your Postman tests and the internal workings of your Kubernetes cluster. # How Testkube does Kubernetes API testing differently You would create one or more Docker-based runners that can take your Postman collections, which are groups of one or more Postman API tests, and “inject” them into your Kubernetes cluster, and run them against your microservices in the way you’ve specified.īut creating and maintaining these runners isn’t necessarily a trivial task,and this is where Testkube comes in! Let’s say you’re using (), one of the most popular tools for designing, documenting and testing your APIs in Kubernetes. ![]() These are often Docker containers, including all the dependencies required to run the API test, that you send to the Kubernetes cluster for processing. Most developers/testers create test runners to get around the network access issues that come with running a Kubernetes inside a protected network. ![]() Kubernetes' appeal is that it has a robust () that abstracts most of the complexity around networking, but still there’s some. # The state of API testing in Kubernetesīuilding a test suite capable of adequately testing your API is hard enough without all the barriers that modern infrastructure puts in your way. Are your API’s doing what they are supposed to? Changes in APIs due to ongoing API development and the necessity to test multiple versions.Īs a developer or tester, what you’re really looking for with API testing is confidence. ![]() production) where your API tests could pass in some but not all environments. Differences in the various environments (testing vs. Schemas and protocols that might not be fully documented. Could be that your APIs are behind a VPN or a firewall or you need a special kind of authentication. The access to the environments you are testing against could be restricted. You’re always creating new APIs and developing against public or third-party APIs.īut there are a few challenges when it comes to API testing: That’s true for all your environments, be it, staging, testing, or production. If you have any questions feel free to comment on this post.If you are a QA engineer or a software developer, regardless of your stack-you’ll want to be the kind who helps ship bug-free code at a healthy pace so you need to be able to test the APIs that you’re creating. Providers Table), and link each user registered by Laravel Socialite to this table and record the user Provider and other details, and do not forget your own touch. In the end, I hope this article is useful and helpful to you,And remember that this is just a very simple form of the code so that the article is not too long, so try to add what you need (for example You can get the source code for this project from github You can see all user info given by google token by dd the $providerUser in SocialiteController: You may now be wondering how to get access_provider_token, well I'm using a Flutter application created by my friend Fadi Asfour to get this tokens. Now that we've finished the code, let's go to postman and test our routes : Only ( 'name', 'email', 'password', 'password_confirmation' ),, 'email' =>, 'password' =>, ]) if ( $validator -> fails ()) return response () -> json ( $validator -> errors (), 400 ) $input = $request -> only ( 'name', 'email', 'password' ) $input = Hash :: make ( $request ) $user = User :: create ( $input ) $data = return response () -> json ( $data, 200 ) } public function login ( Request $request ) Įnter fullscreen mode Exit fullscreen mode ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |