Codeless Automation: Why It’s Better in the Cloud

Codeless Automation: Why It’s Better in the Cloud

//Codeless Automation: Why It’s Better in the Cloud

Codeless automation in the cloud

In general, codeless test automation solves a huge test automation creation and productivity problem for business testers and developers — enabling business testers to create and execute fully-automated test scenarios without coding; and freeing developers up to focus on product development and innovation.

With solutions like Perfecto Codeless, machine learning and AI capabilities eliminate precious time in creating and maintaining scripts — and complement Selenium test automation written in code.

But what are the differences when it’s done on-premise versus in the cloud? And which is better for your team?

Let’s dive in.

Legacy Codeless Comes Up Short

Codeless test automation is typically done with on-premise technologies, meaning legacy codeless solutions are downloadable software development kit (SDK) solutions.

By nature, this technology creates a huge headache for individuals using the technology and IT – who manage software versions to ensure the solutions are properly installed per each type of machine and always up to date.

Test automation by definition is very complex and requires constant maintenance. It is also being executed continuously. This means that test automation must run on a robust foundation that can scale as needed, stay up and running, remain highly secure to meet enterprises’ strict requirements, and offer strong computing power and storage capabilities.

While you may be more familiar with on-premise codeless test automation, the technology can’t meet many of the aforementioned requirements.

The Benefits of Codeless Automation in the Cloud

Meanwhile, codeless test automation in the cloud allows users and enterprises to meet a number of robust requirements across scalability, speed, collaboration, quality and security — freeing up team time to focus on product innovation.

1.     Scalability

Managing a Selenium grid locally on a monthly basis when a new browser version is being released is close to impossible, expensive and, in most cases, delays test executions. In addition, scaling a grid with hundreds of permutations locally is flaky, unreliable and very hard to do compared to a cloud SaaS solution.

Cloud services, on the other hand, enjoy the unlimited scalability of thousands of on-demand desktop VMs and mobile devices. There is zero setup required for the team executing, and it enables teams to meet strict project timeline requirements and testing coverage.

2.     Speed

Cloud computing solutions enjoy the benefits of strong machines, robust infrastructure, and networking that can boost test automation execution time and performance significantly. Cloud-based solutions also offer easy access to platforms in various geographies via globally-distributed data centers.

This is something that contributes to the performance and speed of testing. Local solutions fall short in supporting multiple geographies that are, in many cases, a must in web and mobile testing.

3.     Collaboration

Continuous testing in DevOps is all about individuals working together within squads and feature teams. Sharing test data and test scenarios is essential to reduce overhead in recreating tests, as well as having one single pane of glass for everything that is related to quality.

When comparing a collaborative cloud environment to several local desktops, it is very clear that the benefit of cross-team collaboration disappears or declines significantly. The cloud empowers multiple users to leverage existing resources, seeing other teams’ executions on-demand in a simplistic and web-based manner.

4.     Quality Throughout SDLC

Continuous testing in the cloud is not just about test creation, it’s also about the entire process of mitigating software risks by performing relevant testing and delivering fast feedback to the developers upon any code change.

Cloud-based solutions are best positioned to support this objective via the four pillars of success in the cloud: creation, execution at scale, a smart lab, and test reporting and analysis. When you compare a cloud that supports all four capabilities with an on-prem test creation tool that is disconnected from the pipeline, it is clear that the cloud is the best path to success.

5.     Security

On-prem and cloud solutions also differ in the level of test data security they each provide. Cloud security is far more advanced when compared with on-prem.

A local software installation that runs on a test engineer desktop lacks the necessary level of test data security given, preventing teams from meeting strict requirements.

Know Before You Go

Codeless automation testing has clear benefits. To be successful, teams need to identify the right scenarios that will fit their projects and will be a good return on investment for the developers.

In addition, organizations need to understand the clear differences between cloud-based and on-premise from the perspective of creation, maintenance, documentation, maturity and more. (See our second blog post in the series for more insight in this area.)

Ultimately, codeless testing will mature in the future into near 100 percent self-test automation creation, and while in the cloud, it will boost software delivery cycles by shrinking the overall testing time per software iteration.

The cloud, in that regard, will serve as a single hub that manages the entire DevOps activities from development, CI pipeline, through testing and monitoring.

 

For more information, check out Perfecto Codeless, which delivers codeless test automation in the cloud, allowing your team to meet its speed, scalability, and collaboration needs while ensuring quality throughout the software delivery lifecycle.

 

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2019-04-01T14:59:42+00:00 Codeless|0 Comments

About the Author:

Eran Kinsbruner is the Chief Evangelist at Perfecto and Author of the Digital Quality Handbook and Continuous Testing for DevOps Professionals books. He is formerly the CTO for mobile testing and Texas Instruments project manager at Matrix, Eran has been in testing since 1999 with experience that includes managing teams at ADT, Sun Microsystems, General Electric, and NeuStar. You can find Eran on Facebook, Twitter @ek121268, LinkedIn, and on his professional continuous testing blog at http://continuoustesting.blog/.

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