Empirical analysis reveals service patterns, storage usage, and system complexity in 396 AWS cloud architectures, highlighting architectural practices across the computing continuum.
We study a recently published dataset of 396 real-world cloud architectures on AWS from a wide range of industries. We focus on those architectures that contain HPC, edge or serverless components and investigate how they are built, which services they use, the types of storage used, quantify architectural complexity, assess the use of machine learning services, and distill insights regarding how cloud applications in these three domains are being built in the cloud continuum. Our data and analysis can be valuable for researchers and practitioners seeking to build and optimize cloud architectures and to help guide new research.
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Santillan et al. (2026) studied this question.
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