Why testing? Is QA needed?

How we make them happy? Fulfilling their expectations and hopefully make their lives easier. For that, we need to create products or services with good quality, and for that my friend we need to TEST the product or services we are delivering to our clients. As easy as it may be sound, is hard work to do, and not only the testers/QA are involved in archiving that goal. Testing is usually strongly related to being a tester only task, but in fact, is a team task.

So, why we need testing?

#testing #qa #qa-testing #quality assurance

What is GEEK

Buddha Community

Why testing? Is QA needed?
Dejah  Reinger

Dejah Reinger

1599859380

How to Do API Testing?

Nowadays API testing is an integral part of testing. There are a lot of tools like postman, insomnia, etc. There are many articles that ask what is API, What is API testing, but the problem is How to do API testing? What I need to validate.

Note: In this article, I am going to use postman assertions for all the examples since it is the most popular tool. But this article is not intended only for the postman tool.

Let’s directly jump to the topic.

Let’s consider you have an API endpoint example http://dzone.com/getuserDetails/{{username}} when you send the get request to that URL it returns the JSON response.

My API endpoint is http://dzone.com/getuserDetails/{{username}}

The response is in JSON format like below

JSON

{
  "jobTitle": "string",
  "userid": "string",
  "phoneNumber": "string",
  "password": "string",
  "email": "user@example.com",
  "firstName": "string",
  "lastName": "string",
  "userName": "string",
  "country": "string",
  "region": "string",
  "city": "string",
  "department": "string",
  "userType": 0
}

In the JSON we can see there are properties and associated values.

Now, For example, if we need details of the user with the username ‘ganeshhegde’ we need to send a **GET **request to **http://dzone.com/getuserDetails/ganeshhegde **

dzone.com

Now there are two scenarios.

1. Valid Usecase: User is available in the database and it returns user details with status code 200

2. Invalid Usecase: User is Unavailable/Invalid user in this case it returns status with code 404 with not found message.

#tutorial #performance #api #test automation #api testing #testing and qa #application programming interface #testing as a service #testing tutorial #api test

Karate DSL : Getting started

Hello guys, this is a short blog on how to setup a maven project in karate DSL and small introduction to it’s directory and file structure. So let’s start with,

#api testing #quality assessment (qa) #testing #automation testing #qa #test automation #testing skills

Noah  Rowe

Noah Rowe

1597861200

7 Approaches to Testing - DZone Performance

This article will be interesting for IT directors, product managers, project managers, and anyone who wants to understand the processes of project quality assurance better.

At Qualitica, we test large web and mobile projects, both commercial and national ones. Before a separate testing agency has been established, I spent 10 years as a specialist and head of several digital studios. Usually, in any IT project (websites, applications, games, corporate software), you start by treating testing as a formal procedure. But normally the testing also evolves with the project: the more people are involved, the more complex is the process.

There are 7 testing evolution stages that may differ in different companies:

  1. There are no testers. Their functions are performed by developers or managers.
  2. Testers appear, but test projects only at the completion stage.
  3. Testers check all developer tasks to see if the result matches the original task statement.
  4. Testers are engaged in test design.
  5. A test management tool is being implemented.
  6. Testing automation appears.
  7. The complexity of the hierarchy, the creation of new roles in the test team.

Let’s learn about each stage in more detail.

Stage 1 — Testing Is Performed by the Developer and/or Manager

It’s the simplest, “instinctive” approach to testing. It is common in small companies. When it is impossible or presumably unwanted to hire a professional tester, this part of work is performed in house, but this is an inappropriate and problematic approach for the following reasons:

  • A developer only tests his own scenarios with the data he used in the development process. In this testing, alternative scenarios are omitted. As a result, something is out of control, and end-users usually get errors.
  • A manager takes testing as a side job, having little expertise, time, and desire to do it. This way, you can detect gross errors, but many nuances are overlooked.
  • The subjective approach and the desire to complete the project quickly result in the wish to ignore “minor” problems.

An extreme case is when no testing is done in the company and the error report goes from … the client. Then more and more errors/bugs appear. Thus, clients become testers at their expense.

#testing #testing and qa #testing automation #testing and developing #test

Why testing? Is QA needed?

How we make them happy? Fulfilling their expectations and hopefully make their lives easier. For that, we need to create products or services with good quality, and for that my friend we need to TEST the product or services we are delivering to our clients. As easy as it may be sound, is hard work to do, and not only the testers/QA are involved in archiving that goal. Testing is usually strongly related to being a tester only task, but in fact, is a team task.

So, why we need testing?

#testing #qa #qa-testing #quality assurance

Tamia  Walter

Tamia Walter

1596754901

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