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Evaluating The Impact Of Cloud-Based Microservices Architecture On Application Performance
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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.
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Cited by 1 Pith paper
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Extracting Overlapping Microservices from Monolithic Code via Deep Semantic Embeddings and Graph Neural Network-Based Soft Clustering
Mo2oM assigns classes to overlapping microservices using UniXcoder embeddings and NOCD soft clustering, claiming large gains in modularity metrics over hard-clustering baselines on four monoliths.
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