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By: Kazi Kutubuddin Sayyad Liyakat
Professor and Head, Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology, Solapur (MS), India.
For decades, the software testing laboratory was a bottleneck—a physical anchor holding back the velocity of digital innovation. Testers grappled with environment provisioning delays, infrastructure costs, and the ultimate frustration: lacking the muscle to simulate true production- level scale. The paradigm shift towards cloud computing has revolutionized software deployment and scalability, yet it introduces unique complexities for ensuring application quality and reliability. Traditional testing methodologies, often monolithic and resource-intensive, prove inadequate for the dynamic, distributed, and ephemeral nature of cloud environments. This paper explores the evolution of software testing techniques, highlighting the critical need for specialized approaches that leverage cloud-native capabilities. Cloud computing based software testing is not merely a tool upgrade; it is a fundamental shift that decouples quality assurance from physical infrastructure. It replaces the fixed, expensive, and rigid test lab with an elastic, global, and highly optimized environment. The result is testing that is faster, more accurate, and, crucially, capable of validating applications against the demands of the modern hyper-scale user base. We discuss the transition from conventional quality assurance to agile, automated, and continuous verification strategies, encompassing performance, security, elasticity, and resilience testing. The ultimate goal is to validate not just functional correctness, but also the inherent reliability, scalability, and cost-efficiency of applications operating within the complex, multi- tenant cloud ecosystem.
Cloud Computing, Software Testing, Quality Assurance, Automation, Performance, Testing, Security Testing, Chaos Engineering, CI/CD, Resilience, Scalability.
Citation:
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