Evaluating The Impact Of Cloud-Based Microservices Architecture On Application Performance

TL;DR

This paper evaluates how cloud-based microservices architectures affect application performance, analyzing response time, scalability, and reliability through case studies and empirical data, highlighting benefits and challenges.

Contribution

It provides a comprehensive assessment of performance impacts and optimization strategies for cloud-based microservices compared to traditional monolithic systems.

Findings

Cloud microservices improve scalability and response times.

Monitoring distributed microservices presents significant challenges.

Optimization techniques can mitigate bottlenecks.

Abstract

The study assesses the impact of cloud-based microservices architectures on application performance. Several aspects of performance evaluation are discussed, including response time, throughput, scalability, and reliability. This article examines the advantages and challenges of adopting a cloud-based approach. It explores potential bottlenecks and issues in a microservices architecture and presents optimization techniques. With the help of case studies and empirical studies, it compares cloud-based microservices architectures with traditional monolithic architectures. Furthermore, the paper examines the challenges of monitoring and troubleshooting distributed microservices. In conclusion, it emphasizes the importance of planning, designing, and testing during the adoption of cloud-based microservices.