Ionic E2E Tests with

Since the Ioniconf 2020, Cypress caught my attention as a better E2E testing framework instead of Protractor for our Angular Ionic apps, and we’ll see why in this tutorial.

We will integrate Cypress into an existing Ionic Angular project and step through different cases to understand the basics of Cypress.


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Ionic E2E Tests with
Tamia  Walter

Tamia Walter


Testing Microservices Applications

The shift towards microservices and modular applications makes testing more important and more challenging at the same time. You have to make sure that the microservices running in containers perform well and as intended, but you can no longer rely on conventional testing strategies to get the job done.

This is where new testing approaches are needed. Testing your microservices applications require the right approach, a suitable set of tools, and immense attention to details. This article will guide you through the process of testing your microservices and talk about the challenges you will have to overcome along the way. Let’s get started, shall we?

A Brave New World

Traditionally, testing a monolith application meant configuring a test environment and setting up all of the application components in a way that matched the production environment. It took time to set up the testing environment, and there were a lot of complexities around the process.

Testing also requires the application to run in full. It is not possible to test monolith apps on a per-component basis, mainly because there is usually a base code that ties everything together, and the app is designed to run as a complete app to work properly.

Microservices running in containers offer one particular advantage: universal compatibility. You don’t have to match the testing environment with the deployment architecture exactly, and you can get away with testing individual components rather than the full app in some situations.

Of course, you will have to embrace the new cloud-native approach across the pipeline. Rather than creating critical dependencies between microservices, you need to treat each one as a semi-independent module.

The only monolith or centralized portion of the application is the database, but this too is an easy challenge to overcome. As long as you have a persistent database running on your test environment, you can perform tests at any time.

Keep in mind that there are additional things to focus on when testing microservices.

  • Microservices rely on network communications to talk to each other, so network reliability and requirements must be part of the testing.
  • Automation and infrastructure elements are now added as codes, and you have to make sure that they also run properly when microservices are pushed through the pipeline
  • While containerization is universal, you still have to pay attention to specific dependencies and create a testing strategy that allows for those dependencies to be included

Test containers are the method of choice for many developers. Unlike monolith apps, which lets you use stubs and mocks for testing, microservices need to be tested in test containers. Many CI/CD pipelines actually integrate production microservices as part of the testing process.

Contract Testing as an Approach

As mentioned before, there are many ways to test microservices effectively, but the one approach that developers now use reliably is contract testing. Loosely coupled microservices can be tested in an effective and efficient way using contract testing, mainly because this testing approach focuses on contracts; in other words, it focuses on how components or microservices communicate with each other.

Syntax and semantics construct how components communicate with each other. By defining syntax and semantics in a standardized way and testing microservices based on their ability to generate the right message formats and meet behavioral expectations, you can rest assured knowing that the microservices will behave as intended when deployed.

Ways to Test Microservices

It is easy to fall into the trap of making testing microservices complicated, but there are ways to avoid this problem. Testing microservices doesn’t have to be complicated at all when you have the right strategy in place.

There are several ways to test microservices too, including:

  • Unit testing: Which allows developers to test microservices in a granular way. It doesn’t limit testing to individual microservices, but rather allows developers to take a more granular approach such as testing individual features or runtimes.
  • Integration testing: Which handles the testing of microservices in an interactive way. Microservices still need to work with each other when they are deployed, and integration testing is a key process in making sure that they do.
  • End-to-end testing: Which⁠—as the name suggests⁠—tests microservices as a complete app. This type of testing enables the testing of features, UI, communications, and other components that construct the app.

What’s important to note is the fact that these testing approaches allow for asynchronous testing. After all, asynchronous development is what makes developing microservices very appealing in the first place. By allowing for asynchronous testing, you can also make sure that components or microservices can be updated independently to one another.

#blog #microservices #testing #caylent #contract testing #end-to-end testing #hoverfly #integration testing #microservices #microservices architecture #pact #testing #unit testing #vagrant #vcr

Shawn  Durgan

Shawn Durgan


REST API Testing with Cypress

REST API Testing with Cypress:

Cypress automated everything that runs on the browser and many times we have a use case where we need to validate our UI behavior against the browser network calls, here cypress comes in the picture. So as per the cypress best practices we have created a REST-API-Testing.spec.js file and inside that spec.js file, we have defined our test cases for performing CRUD operations.

C: Create

R: Read

U: Update

D: Delete

We have also added some assertions on the response as we used to do while testing backend API(s) with the different rest clients.

GET Method:

 it('GET-list user',()=>{

here we have defined a get method through which we are fetching the user’s detail.

POST Method:

it('POST-Create user',()=>{
        var user = {
            "name": "Vandana Yadav",
            "job": "QA"


        cy.request('POST','/users',user).its('body').should('include',{name:'Vandana Yadav'})

here we have defined a POST method in which we are creating a new user.

PUT Method:

it('Ùpdate user',()=>{
        var user1 = {
            "name": "Samantha",
            "job": "DevOps"

        cy.request('PUT','/users/2',user1  ).then((response)=>{

here we have defined a PUT method for updating the user’s detail.

Delete Method:

it('Delete user',()=>{
        var user1 = {
            "name": "Samantha",
            "job": "DevOps"



here we have defined a Delete method for deleting a user.

Running Cypress Tests:

We can execute our cypress tests as per our requirement, like if we want to run our test cases on the browser then we need to pass an argument –headed along with our cypress run command and if you want to run your tests on console only then you can pass –headless along with cypress run command.

The command for executing our tests in headed mode:

npx cypress run --spec "cypress/integration/REST-API-Testing.spec.js" --headed

The command for executing our tests in headless mode:

npx cypress run --spec "cypress/integration/REST-API-Testing.spec.js" --headless

Html Report:

#scala #cypress #rest api testing #restapi #ios

E2E Tests in Ionic with Cypress (Angular Quickstart Guide)

In this video tutorial, we walk through setting up Cypress in an Ionic/Angular application using the Briebug Cypress Schematic and writing our first tests with Cypress.

  • 0:00 Introduction
  • 1:31 Installing Cypress
  • 4:04 Configuring Cypress
  • 5:55 A Basic Test
  • 11:59 Creating a Test Suite
  • 16:21 Debugging a Test
  • 18:30 Waiting in Cypress
  • 19:52 Conclusion

#cypress #ionic #testing

Software Testing 101: Regression Tests, Unit Tests, Integration Tests

Automation and segregation can help you build better software
If you write automated tests and deliver them to the customer, he can make sure the software is working properly. And, at the end of the day, he paid for it.

Ok. We can segregate or separate the tests according to some criteria. For example, “white box” tests are used to measure the internal quality of the software, in addition to the expected results. They are very useful to know the percentage of lines of code executed, the cyclomatic complexity and several other software metrics. Unit tests are white box tests.

#testing #software testing #regression tests #unit tests #integration tests

Juned Ghanchi


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