Tuesday, 23 January 2024

How to use attributes in @Test annotation in TestNG

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💛 How to use attributes in @Test annotation in TestNG

@TestNG offers several attributes that can be used to customize the behavior of test methods. Here are five commonly used attributes, it is very important to aware of the available attributes.

⛔️priority:

👉Usage: Sets the priority of the test method, allowing ordered execution within the test class.

@Test(priority = 1)
public void highPriorityTest() {
// High priority test logic
}

I would recommend avoid using priority as the best practice is to make every test script independent.

⛔️dependsOnMethods:

👉Usage: Specifies dependencies between test methods, ensuring a specification

@Test
public void method2() {
// Test logic for method2
}

@Test(dependsOnMethods = "method2")
public void method1() {
// Test logic for method1
}

⛔️expectedExceptions:

👉Usage: Specifies the expected exception that the test method should throw.

Example:

@Test(expectedExceptions = ArithmeticException.class)
public void testException() {
// Test logic that should throw an ArithmeticException
}

⛔️dataProvider and dataProviderClass:

👉Usage: Links the test method with a data provider method, allowing parameterized testing.

Example:

@DataProvider(name = "data-provider")
public Object[][] dataProviderMethod() {
return new Object[][] { { 2, 3, 5 }, { 4, 6, 10 } };
}

@Test(dataProvider = "data-provider")
public void testWithDataProvider(int a, int b, int expectedSum) {
// Test logic using data provider
}

⛔️timeOut:

👉Usage: Defines a maximum time limit for the execution of the test method.

Example:

@Test(timeOut = 5000)
public void testWithTimeout() {
// Test logic that should complete within 5000 milliseconds (5 seconds)
}

These attributes provide flexibility and control when using the @Test annotation, allowing you to customize the behavior of individual test methods within your TestNG test suite.

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Tuesday, 16 January 2024

API Testing and Architectures for QA/SDET Role in MAANG & Product Companies

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🍀API Testing and Architectures🍀

APIs (Application Programming Interfaces) serve as the backbone of modern software applications, enabling seamless communication between different software components. API Testing plays a crucial role in ensuring the functionality, reliability, and security of these interfaces.

API Testing involves evaluating various aspects of an API, including its functionality, performance, security, and reliability. Testing APIs is essential as they act as bridges that allow different software systems to exchange data and functionality. A well-tested API ensures that applications can interact effectively, preventing potential issues such as data inconsistencies, security vulnerabilities, or service disruptions.

In this post we will discuss about two ways software is built — Microservices and Monoliths — and why it matters for testing APIs.

⛔️Microservices Architecture

Picture a Lego set! Microservices are like individual Lego pieces — small, independent parts. They work together by talking through APIs. This helps make big, complex projects more flexible and easy to handle.

Microservices architecture is an approach to software development where a complex application is divided into a set of small, independent services that communicate with each other through well-defined APIs. Each microservice is designed to perform a specific business function and can be developed, deployed, and scaled independently. This decentralized structure allows for increased agility, as different teams can work on separate microservices concurrently, and failures in one service don’t necessarily affect the entire system. Microservices promote scalability, flexibility, and easier maintenance but require a robust communication mechanism between services.

In API Testing:

👉Testing Blocks:

We can test each Lego block separately. It’s like checking each part of your project one by one.

👉Fast Testing:

Because they talk to each other, we can test them at the same time, making testing quicker.

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⛔️Monolith Architecture:

Now, imagine your Lego set as one big piece.

🏰 Monoliths are like that — everything in one place. It’s simple but needs extra care.

Monolith architecture, in contrast to microservices, represents a traditional approach where an entire application is built as a single, tightly integrated unit. In a monolith, all components, functionalities, and modules are interconnected and share the same codebase and database. While monoliths are simpler to develop and deploy initially, they can become challenging to scale and maintain as the application grows. Changes or updates to one part of the system often require redeploying the entire application. Monoliths are known for their simplicity, but they may face limitations in terms of scalability and agility compared to more modular microservices architectures.

In API Testing:

👉Checking All Parts:

We need to test everything together to make sure our big Lego creation works perfectly.

👉Understanding Connections:

Testing helps us know how all the pieces connect and work as a team.

👉Checking the Whole Castle:

We test to make sure our entire castle (or project) does what it’s supposed to do.

⛔️Which one to choose?

Generally speaking, the monolithic architecture might be ideal for smaller, less complex applications or for businesses with limited resources to manage and maintain their IT systems.

In contrast, a microservices architecture may be more appropriate for larger and more intricate applications that demand greater scalability and flexibility.

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