Cloud downtime impacts on high-traffic retail e-commerce platforms
Hasan, Md Maruf All (2026)
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-202604257839
https://urn.fi/URN:NBN:fi:amk-202604257839
Tiivistelmä
The rising demands of the e-commerce industry have enhanced the application of modern cloud computing technologies. Although cloud infrastructure provides unique scalability, its rising downtime issues have emerged as a key operational challenge during high-traffic situations in retail businesses. This research explores key factors leading to cloud downtime outage in e-commerce platforms and assess its influences on operational efficacy within high-traffic retail platforms.
In this research, key concepts related to varying roles of cloud computing infrastructure on modern e-commerce business have been evaluated. With contingency theory and technology organization environment theory, varying strategies that e-commerce businesses can integrate by adopting cloud infrastructure innovation, such as hybrid cloud or multi-cloud, have been analysed. Secondary qualitative research processes have been utilized and thematic data analysis has been performed.
By assessing key findings, it is evident that cloud downtime issues are affected by poor support from third-party cloud service providers, inef-fective redundant systems and less efficient auto-scaling. Companies can handle risks better by creating backup plans, using multiple cloud sys-tems for reliability, and applying AI to monitor demand and manage po-tential problems in e-commerce operations. E-commerce managers can integrate multi-cloud or hybrid cloud systems for improving customer demand management by maintaining cloud downtime vulnerabilities.
In this research, key concepts related to varying roles of cloud computing infrastructure on modern e-commerce business have been evaluated. With contingency theory and technology organization environment theory, varying strategies that e-commerce businesses can integrate by adopting cloud infrastructure innovation, such as hybrid cloud or multi-cloud, have been analysed. Secondary qualitative research processes have been utilized and thematic data analysis has been performed.
By assessing key findings, it is evident that cloud downtime issues are affected by poor support from third-party cloud service providers, inef-fective redundant systems and less efficient auto-scaling. Companies can handle risks better by creating backup plans, using multiple cloud sys-tems for reliability, and applying AI to monitor demand and manage po-tential problems in e-commerce operations. E-commerce managers can integrate multi-cloud or hybrid cloud systems for improving customer demand management by maintaining cloud downtime vulnerabilities.