Serverless Cloud Computing for Scalable E-Commerce Applications Utilizing Load Balancing Algorithms and Docker Swarm

Remote computing has completely transformed the deployment and management of scalable e-Commerce applications, by providing an optimal solution to address varying traffic conditions economically and efficiently. The present study investigates how serverless computing can be integrated in e-commerce applications with emphasis on load balancing and Docker Swarm. E-commerce applications are used in web sites that have fluctuations in the traffic rates and hence resource management is important so as to ensure the quality is not compromised. Load balancing is still used in the context of serverless computing to empower the dynamic load distribution of the arriving requests to multiple serverless instances with relatively low response times and the efficient usage of resources. Container orchestration service Docker Swarm is utilized to create and manage microservices in a serverless manner with the support of quick scaling and efficient workload balancing. The research assesses the effect of different load balancing techniques, including round-robin or least-connections, in application performance under varying traffic conditions. Furthermore, this paper also discusses how Docker Swarm's automation of the scale-up and scale-down modes and failure recovery keep the environment available and reliable. The current study indicates that serverless, load balancing algorithms and Docker Swarm provide the much-needed boost to the scalability, performance and cost of the e-commerce application making serverless the best solution for online retail market.