Architecting for the Cloud: Best Practices for Application Design, Scalability, and Performance

Padma Naresh Vardhineedi¹ & Apoorva Jain²

¹University of Missouri

Kansas City, 5000 Holmes St, Kansas City, MO 64110, US

²Chandigarh University
Mohali, Punjab, India

Abstract

The rapid evolution of cloud computing has had a profound impact on the practices employed in the design, scaling, and optimization of high-performance applications. As more companies adopt cloud environments, there is a growing need to adopt best practices that ensure scalability, resilience, and efficient management of performance. This paper examines the most important aspects of cloud architecture between 2015 and 2024 with a special focus on application design, scalability, and performance. The research highlights the shift from traditional monolithic frameworks to microservices-based architectures, pointing out the importance of containerization and serverless computing in enhancing scalability and optimizing resource utilization. Despite these advancements, there are challenges that still exist, including balancing performance and operational costs, optimizing resource allocation mechanisms, and achieving low-latency response in geographically dispersed cloud infrastructures. In addition, the adoption of artificial intelligence (AI) and machine learning (ML) for predictive scaling, performance optimization, and intelligent resource management has been recognized as a promising direction for enhancing the efficiency of cloud applications. There are, however, gaps that still exist in managing the complexity of multi-cloud architectures, maintaining security at scale, and engineering systems for fault tolerance to achieve full utilization of cloud system capabilities. This paper highlights these gaps and calls for additional research in the development of cloud-native design paradigms, improving auto-scaling practices, and designing more resilient multi-cloud solutions. The research highlights the need for additional innovation in cloud computing practices to address the growing demands of modern, high-performance applications. Overcoming these gaps will enable organizations to design more resilient, scalable, and high-performance cloud-based solutions within the next few years.

Keywords

Cloud computing, application design, scalability, performance optimization, microservices, serverless computing, containerization, AI-based scaling, multi-cloud architecture, fault tolerance, cloud-native design, predictive autoscaling, resource management, latency reduction, high-performance cloud solutions.

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