Going a few years back in time, website development or software engineering were entirely different concepts. However, the introduction of innovations like artificial intelligence, machine learning, cloud, DevOps, and QA have all made way for extensive transformation.
Especially, the ever-growing focus on quality assurance and software testing have made quality assurance services a vital part of software development lifecycle. More importantly, the evolution of QA as a process from manual to automation testing has delivered all the necessary speed to the software testing initiatives.
While manual testing was already adding the necessary precision to software testing for on-prem and cloud, cloud-based test automation has revealed much bigger potential. Especially the availability of a huge number of test environments adds much more depth to test initiatives while shortening the feedback loops, fixing bugs, and quicker releases.
All in all, continuously delivering improved software allows you to create a much more progressive user experience for your end-users. Besides, it serves as a link between improved customer experience and revenue, keeping all things documented.
When it comes to the business use cases of cloud-based testing, it requires modeling the benefits associated with better software releases compared to the cloud computing costs. Here are a few things that must be kept in mind when working on cloud-based testing:
Since testing is an important aspect of software development, it is vital that cloud initiatives must enhance the benefits on available testing environments. From improved speed on bug fixes to faster releases that come from advanced testing, cloud-based testing must elevate the development lifecycle.
Whether you choose cloud or not, there are always certain costs involved. Hence working on cloud-based test automation needs you to understand your pricing structure while keeping check on any bandwidth for on-demand test environments. It is vital that costs related to the on-demand test environment must balance with benefit of release. This might need you to work on a cost comparison in order to identify the viability of the cloud test.
Moreover, this even needs the understanding of costs associated with on-prem testing requirements right from upfront costs of the physical infrastructure to maintenance as well as provisioning of test environments as per increasing test demands.
The cloud has appeared as a catalyst for advanced software development. However, taking the step towards cloud needs figuring out the difference between the public and private cloud. On one hand, the public cloud offers collaboration benefits that bring in scalability and parallelization adding value to quicker software releases.
However, the public model contains security issues when data is supposed to stay behind firewalls. On the other hand, the private cloud offers the security layer on your managed network as well as third-party hardware that is associated with your organization. But the only thing that makes the private cloud option a bit less approachable is the cost of ownership, deployment, and maintenance of the cloud network.
The last step to initiate your testing goals in the cloud is working on the proof of value. Compared to on-prem testing, working on the proof of value for the cloud is easy and quick with rapid implementation and predictability. Above all, it offers a greater ability to spin pre-configured test environments during the buying process enabling the building of business cases internally.
If you need to foster cloud-based test automation via some popular cloud testing service provider, here are a few things which you must consider:
Read more: Benefits Of Cloud-based Test Automation
