- 1 Mock API for Microservices
- 1.1 Designing Microservices Using Mock APIs
- 1.2 Solving Microservice Testing Challenges Using Mock APIs
- 1.3 Save Costs
- 1.4 Reduce Complexity
- 1.5 Increase Performance
- 1.6 Get Started using a Mock API Tool Today
Mock API for Microservices
Use mock APIs to cut the dependencies between your microservices. Learn how mock API tools can help you run, test and develop your microservice landscape .
Designing Microservices Using Mock APIs
The single most crucial factor when architecting microservices in the API contract that defines how to interact with your services. These are normally defined by an architect or elder developer who documents the endpoints, the response- and request structure. In theory, this works well, but when actually starting to implement the API narrow you might notice that it needs to be changed. It could be because of certain limitations or just that you need to expose more data to make your product function according to the occupation requirements .
Using a tool like Mocki, you can alternatively create a mock adaptation of your microservice before you start implementing it. This way any future consumers of the API ( such as your frontend team ) can try it out and give you feedback before you spend any valued development clock time on implementing the specification. This direction of working is very in line with the celebrated fail fast philosophy that is very popular in software development culture today .
Reading: Mock API for Microservices
Solving Microservice Testing Challenges Using Mock APIs
Why is microservice testing so hard ? Just start the service, run the tests and stop the service again ? That can be the encase with well built massive applications. however, splitting that simple-but-huge monolith into one, two, three or possibly a hundred microservices that talk to each other makes things more complicate. Service A might require Service B to function properly, and Service B in turn talks to Service C. Running and preparing these interconnect services for different testing scenarios can be a fuss for many unlike reasons. In this article we will walk you through how a mock API creature like Mocki can help you test your microservice fleet at scale .
Test Independently Using Mock APIs
alternatively of running the real versions of your services, mock APIs can be used. Running a faint weight mock alternatively of the broad fledge microservice can have positive impact on performance, complexity, price, and it can even make it easier to test border cases in your microservice .
Isolate Testing Scope
To test microservices independently, we want to keep the testing setting american samoa little as potential. In the shell above, we are running real number versions of Service B and Service C during our testing. This make our telescope of testing larger since it relies on the interconnect services functioning as expected. In a microservice worldly concern, each overhaul will have its own environments. This means there might not even be a undertake that a service is up and functioning as expected at all times .
To keep the testing setting smaller we can use mocks alternatively that act as stunt doubles for the real microservices. The mocks can be configured to reply as required by the test cases run and they can be run locally or in the cloud. Each service under test can define their own mocks so that you are not even dependent on a single mock for testing all of your microservices. The ownership of the mock and the shape is in the service under test only .
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Test Edge Cases Flickroomy
When the service under tests owns the test data for interconnect services, you no longer need to request examination data from other development teams to get the data that you need. Simply configure the data that the service under quiz needs using Mockis web interface or a configuration file in your depository and you are good to go. You can besides chooose to randomize responses, generate realistic test data and model errors .
If you are in a situation where you realize that you need to utilize a mock API cock for your testing work flow, we have a substantial world use case to give you some inspiration on how to solve your microservice testing challenges. head on over to our article on Microservice Testing Using Mock APIs .
Microservices are best ply in the cloud, and in the swarm you pay for each seconds that your infrastructure is running and being used. To avoid deploying more environments for testing purposes, use a mock API rather to cut the infrastructure costs that would be incurred by a real military service. Using Mocki, you merely pay for the requests to your mock API, the host and configuration comes for free. If you are running your mocks locally using our Open Source CLI instrument, it is of class 100 % free .
Running, manage and deploying a bombastic flit of microservices is hard on its own. To avoid creating and maintaining a battalion of trial environments for each microservice you can alternatively switching some of them for mock APIs alternatively. This will lower the operations effort needed to keep your microservice landscape afloat .
What was that ? An airplane extremely by ? Ah, it ’ mho precisely your colleagues calculator fans gasping for air when running 20 Docker containers with all your microservices. Mocks created using Mocki are whippersnapper and can be run both locally and in the cloud. This will save both your ears and your colleagues fans some wear and tear .
To run your microservice mock locally install the Mocki CLI tool, pull your shape file and run
mocki run --path config.yml and it will spin right up. If you need to modify the configuration file, for example to get some better data, it can be done at footrace prison term.
Get Started using a Mock API Tool Today
To get started with creating mock APIs for your microservices, head on over to our software documentation to get started with Mocki. If you have any questions or want to connect with our team of microservice testing experts chew the fat with us using the chat appliance here on the web site .
good luck !