The COVID-19 incident has provided much learning to the industry which will help organizations prepare for any future emergencies. Most of IT companies have either moved or are planning to move their infrastructure to the cloud.
Cloud-Based Automation Testing
Cloud computing infrastructure has enabled teams to run multiple automation scripts simultaneously, and helps ensure the security of data and the execution of code results. The three primary services offered are Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
IaaS and PaaS models allow teams to set up a complete testing infrastructure on the cloud. IaaS focuses on providing servers and storage while PaaS is used to run and test the applications.
Forecast of Rise in the Usage of IaaS and PaaS - Gartner Report
The recent COVID‑19 pandemic shed light on the importance of moving automation testing infrastructure to the cloud which helps minimizing the effect on services in case of any future emergencies.
Automation Testing Infrastructure
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Automation on local machines and execution on in-house testing environment
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Automation on local machines and execution on cloud execution environment
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Automation on cloud environment using non-cloud based tools and execution on cloud infrastructure
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Automation using cloud based tool and execution on cloud infrastructure
Earlier, QA teams used to test on the local environment and execute on cloud. However, they are now planning to shift to the modern cloud infrastructures. QA engineers can automate on cloud environment with cloud and non-cloud tools to execute on cloud infrastructure.
Automation Using Non-Cloud Based Tools and Execution on Cloud Infrastructure
Figure: Setting up a testing infrastructure on AWS cloud
Automation Using Cloud-Based Tool and Execution on Cloud Infrastructure
Figure: Working architecture of Testim
Conclusion
It is an ideal and futuristic approach to move automation testing infrastructure to cloud. However, you should compare automation using cloud and non-cloud tools on different parameters, like
- Is there any automation testing infrastructure already in place
- How the existing automation efforts will be utilized
- Cost to shift the infrastructure to cloud
- Cloud services knowledge to team members
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