#scriptless

Scriptless deserves to be happy!! I haven't finish the game yet but my boi has suffered so much. I just want him to be happy woth his bestie T^T !!!!

Cloud migration is transferring databases, applications, and other elements to a cloud server environment. This transferred database or applications can be accessed from anywhere via the internet. It is said that the "cloud is about how you do computing, not where we do computing."

There are multiple types of cloud migration, one of those standard models is moving the database and application from an on-premises server to the public cloud. Cloud migration can be performed from moving one cloud platform or service provider to another platform or service provider. For example, moving an application from AWS to Azure server, this process is named cloud-to-cloud migration. And the last type of cloud migration is moving off from the cloud server, where databases or applications exist from the cloud server, this is known as reverse cloud migration, or cloud exists.

Strategies in Cloud Migration 

For better business continuity, businesses need to adopt the cloud to reap maximum benefits. The keynote to know is not all cloud services are the same. It is crucial to select suitable cloud services to tailor cloud adoption methods based on the requirements. Adopting the right strategy and platform will reduce migration risk and cost and give a better success rate.

Below are the six common adoption techniques for cloud migration. 

Rehosting-Lift and Shift

This process involves the migration of on-premise elements like applications or databases into the cloud without performing any modification. As this strategy has bare minimal modifications, it is considered to be the fastest way of cloud migration starter among other strategies.

This approach can be adopted for low-impact workload when organizations' has budget limitations on their on-premise infrastructure and do not require any architectural changes. However, As the adoption is faster there will be challenges in modifying elements in the migration process and higher costs involved than any other strategy.

Once elements are migrated to the cloud and running up, it is easy to rework and modify according to the requirements.

 Replatforming- Move and Improve

In this strategy, the on-premises elements are lifted and modified according to the requirements and then migrated to the cloud platform. However, the underlying architecture of the application will remain the same. This will help reduce the cost involved in cloud adoption, cloud licensing and improve the efficiency of the application.

This strategy is typically adopted when an organization’s business has less cloud requirement and does not want to modify the base architecture of the application.

Refactoring- Rip and Replace

In this strategy, the elements are entirely modified to fit the adopted cloud platform. As the whole application is modified and optimized according to the new cloud platform, better ROI, scalable options, and improved performance. Thus, these strategies are entirely future-proof.

Typically this strategy is selected by organizations that have customer-facing applications. Here, the applications are converted from platform as a service (Paas) to software as a service (Saas). 

Replace- Repurchasing

In this strategy, the SaaS-based elements are migrated to the cloud platform, in which unfit elements are replaced by the new elements or purchased from a third-party vendor. It's quicker than a PaaS migration. This strategy has all challenges involved in re-creating architecture, UI/UX, and many.

Retire- Retiring

In this strategy, a few features of the system that are not in use or outdated are completely retired, and the remaining part of the application is migrated to the cloud. As elements are terminated instead of modified, this strategy is considered for quicker adoption.

Retain- Retaining

Some business applications are complex to rewrite, which are crucial for business continuity. Those applications are retained and migrated to the cloud platform. These applications can be modified according to requirements later part of the migration.

 Conclusion 

The right cloud adoption methodology enable companies to scale-up, opens door for innovation, improves backup, and help organizations be future-proof. This helps in achieving higher ROI and improves time to market.

Sun Technologies can help you adopt the right methodology for your cloud journey. Our key accelerators that includes IntelliSWAUT (Sun Tehnologies’ scriptless tool) and DevOps process enables organizations to achieve the desired business results with maximum value.

 Get in touch with us

In the world of automation, every organization's goal is to get high-quality products or services in a shorter time. Quality assurance is carried out parallel to the development of software. So, test automation is used in the process of QA to fasten up the development process and resolve problems at an earlier stage. In a nutshell, quality assurance is a kind of umbrella activity that's parallel throughout the development process.

Need of QA for Software Products and Services

The software works the way it is designed to. To keep up with the software, the demands of applications have to be in a constant stream. Customers are very choosy in the selection of applications and software products that work without any hassles. Nothing gives relief to a product owner other than a bug-free product. 

There are ten vital elements involved in the quality assurance process like Software engineering standards, Technical reviews and audits, Software testing for quality control, Error collection and analysis, Change management, Educational programs, Vendor management, Security management, Safety, Risk management. It's mandatory to keep all these elements under desired set QA for a project. 

Key Activities Involved in the Quality Assurance Process:

QA Management Plan: Making up a plan to carry out     QA throughout development, finalizing a set of best software engineering     activities. Check the level of resource skill.

Choosing The Right Scriptless Test Automation Tools: Opting the perfect scriptless tool for your test automation is mandatory to accelerate your release cycle. In the hyper-agile world, organizations look for a way to automate everything using a single tool. One such tool is IntelliSWAUT, an all-in-one solution or a complete suite for all your test automation     needs.

Setting-up Checkpoints: QA should have checkpoints according to the desired goals that help evaluate the base of collated data.

CI/CD Tools:  Business leaders should also focus on CI/CD tools to deploy multiple projects within a single pipeline and check for the integration capabilities of the selected tools.

Multi-Testing Strategy: It is always a good practice to have multiple testing approaches.

Measurement and Reporting: Making every new change for an error re-introduces fresh errors. To keep a measure of all the changes in the project and documenting those for further quality reporting will make it easy for future compatibility and alterations.

Collaboration Capabilities: The QA team must have a good relationship with the developers involved in the project. Bad relations can result in an indirect impact on the project.

AI Capabilities: Scriptless tools with AL capabilities offer an easy-to-use interface, which reduces the complexity involved in large projects. The AI scriptless tools can provide all test cases and expected results. This helps in speed up in release in the test cycle. Hence, the product owners find it easy to scale-up projects from testing to the production phase. 

How Sun Technologies' ensure High Quality Assurance for your products/services?

APIs have been around since 1960s. The digital experiences we have today would not be possible without APIs. API's can do everything, right from driving highly-targeted marketing campaigns to checking weather data on mobile apps.

API testing is essential for software testers. This is why it is so important to monitor the field so closely. There are many external factors that can have a significant impact on a software’s program and performance such as operating systems, networking, hardware, firmware and database. Software developers are often faced with situations where their software applications rely on functions that cannot be performed while they are in an operational state.

API testing shows significant impact on the quality and performance of the applications. Software engineers can now use test automation frameworks to achieve software API compliance thanks to the rapid rise in technology and knowledge in the software industry.

To fully use a testing automation framework you need to understand the differences between automated and non-automated tests. Automated testing is the testing of software via load testing or parallelizable loads testing. Non-automated tests, on the other side, are those that integrate testing methods with actual execution and use of the software. It is essential to learn more about API testing. These are just a few:

API testing can be done with many resources. These tools include visual tools, load tester tools and testing automation frameworks. It is important to determine which tool will be most effective for your business. This will allow you to get the most from your API testing. You can also receive quick feedback from your testers and obtain quick results for the better performance of the software application.  In case if you’re in search of finding the best Automated API testing services then, Sun Technologies’ is the leading service provider across the globe. We helped fortune 500 companies, small & medium sized businesses in our long-journey to deliver premium software applications which runs in a butter-smooth way that is bug free. Below, we have attached our case study too.

Read our latest case study regarding how we helped a top-tier insurance organization in US.

What is API Testing?

API testing is known as a software testing process in which the application programming interface is tested in-depth to its core limits for meeting the expected functionality, performance, reliability including the security of application. However, applications have 3 different types of layers such as presentation layer, business layer and database layer.

API testing takes place at the Business Layer, which is the most important layer of software architecture. The business layer is where business logic processing takes place. All transactions between User Interface (UI) and the database take place. API provides the functionality required to expand the product's future capabilities.

Importance of API Testing

APIs can be subject to bugs, and other errors like any other software. Performing API testing is so important. A problem in your API can have a dramatic effect on hundreds or even thousands of users. A robust API testing approach is essential to ensure software quality.

Types of API Testing

Unit testing

Security testing

UI testing

Functional testing

Load testing

Error Detection

Interoperability & WS compliance testing

Penetration testing

Fuzz testing

API Testing Documentation

API documentation is technical content that describes the API. It contains instructions on how to use the API and how to integrate it. It provides information about the API's current status, such as updates or retirements. Some API documentation can also be generated automatically using Swagger or other documents. After Publishing APIs, another party would decide what to do next. API documentation is a reference manual. It has all the information you could use. 

Enterprises are vastly relying on APIs. APIs must be tested, just like any other piece of software. This is to find bugs, security vulnerabilities and inconsistencies within the API. Ineffective software could result in a slow adoption of APIs. Imagine an API developer releasing an API and not testing it. Soon after the API release, an API user tries to use the API but discovers that not all API calls work and decides to stop using the API. This is because API adoption was lower due to insufficient API testing.

API Testing Automation Tools

1.      IntelliSWAUT

2.      RapidAPI

3.      REST-assured

4.      Postman

5.      Paw

6.      SoapUI

7.      Katalon Studio

8.      Apache Jmeter

9.      Karate DSL

10.   Tricentis Tosca

11.   Assertible

Types of API Testing Frameworks

API testing is essential for any API's success. To ensure that APIs work correctly, companies need to go through several testing frameworks. This includes testing the following components (although this list is not exhaustive)

Functionality: Does the API function?

Reliability: Can API users connect to it and get consistent results?

Load: Does your API load correctly?

Usability: Does the API make it easy to use?

Documentation: Do you have documents that explain the API's purpose and how to use it.

However, companies have the option to test APIs manually or automatically. Automated testing is generally recommended for APIs as it improves efficiency, reduces time needed to test, and complements agile development cycles and continuous delivery cycles.

Benefits of API Testing

Access without UI

API testing offers a key advantage: access to the application is possible without the need for a user interface. QA testers are able to run API tests without having to use the software application. This gives QA engineers an advantage as it allows them to see early signs of potential problems and can help developers fix them before they affect the GUI.

Check for core functionality

Before running GUI tests, it is important to test the code-level functionality before you start testing GUI. This allows you to identify small problems that could grow and cause more serious issues during GUI testing. Core access allows you to test in tandem with the development team, which fosters communication and improves collaboration between both sides. This is particularly useful if your API testing is done with an offshore QA team.

Time effective

API testing takes far less time than functional GUI testing (graphical user interface). This is one of the main differences between API and GUI testing. GUI testing involves the polling elements of web pages, which can make the testing process slow. What’s the API testing's greatest asset? It's speed in delivering results.

How much time can APIs help you save by testing your core functionality of your app? Take a look at this real-life example, calculated by our engineers: In parallel execution, 3,000 API tests can be completed in just 50 minutes 3000 GUI tests in 30 Hours (in parallel execution).

Similar time savings can be expected for your QA UI testing group. API testing is faster than automated GUI tests because it requires less code. A lower overall testing cost is the end result of faster testing.

Language-Independent

An API test can exchange data using XML and JSON, as previously stated. Mostly, this kind of transfer modes are totally language-independent. Testers can select any core language while performing automated tests.

  GUI Integration is Easy

API testing allows for highly integrated tests. This is particularly important if you plan on performing functional GUI tests after your API testing. An example of this is easy integration, which allows for the creation and activation of new users in the application before the GUI test begins.

Best Practices for API Testing

After you have created your test plan, you should follow these rules to ensure you pass the test.

·        Start testing with expected results.

·        A series of API load testing can add stress to your system

·        Make sure to test for failure conditions. For negative cases, ensure API fails consistently

·    Prioritize API function calls to make it easier for testers

·    Check out how an API behaves.

·    Automate any API testing task, if you can.

·    Test cases for groups based on the category.

·    For maximum coverage, cover all input combinations

·    Include parameter selection in test cases explicit.

·    Avoid test chaining

·    It is important to plan your call sequence.

 Conclusion

A solid automated API testing strategy will ensure that your applications work the same way today as yesterday. API testing can help you identify defects in multiple layers of your application. You can automate these tests with the help of Sun Technologies’ AI-empowered scriptless test automation tool – Intelliswaut. This allows you to ensure that your application meets business requirements while still being functionally accurate and gives more edge over the security compliance at the same time.