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An Ecosystem for the Large-Scale Reuse of Microservices in a Cloud-Native Context

Authors:

Muhammad Usman,

Deepika Badampudi,

Chris Smith,

Himansu NayakAuthors Info & Claims

IEEE Software, Volume 39, Issue 5

Pages 68 - 75

https://doi.org/10.1109/MS.2022.3167447

Published: 01 September 2022 Publication History

Abstract

This article presents an ecosystem that Ericsson developed to systematically practice large-scale reuse of microservices in a cloud-native context. We discuss how various ecosystem aspects facilitated the development and reuse of microservices across Ericsson. We also share lessons learned while developing the ecosystem.

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Cited By

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Morais GAdda MBork DCombemale BWimmer MChechik MEgyed A(2024)Breaking Down Barriers: Building Sustainable Microservices Architectures with Model-Driven EngineeringProceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems10.1145/3652620.3687799(528-532)Online publication date: 22-Sep-2024
https://dl.acm.org/doi/10.1145/3652620.3687799
Sarika PBadampudi DJosyula SUsman M(2023)Automating Microservices Test Failure Analysis using Kubernetes Cluster LogsProceedings of the 27th International Conference on Evaluation and Assessment in Software Engineering10.1145/3593434.3593472(192-195)Online publication date: 14-Jun-2023
https://dl.acm.org/doi/10.1145/3593434.3593472
Chen XUsman MBadampudi D(2023)Using InnerSource for Improving Internal Reuse: An Industrial Case StudyProceedings of the 27th International Conference on Evaluation and Assessment in Software Engineering10.1145/3593434.3593466(348-357)Online publication date: 14-Jun-2023
https://dl.acm.org/doi/10.1145/3593434.3593466

Index Terms

An Ecosystem for the Large-Scale Reuse of Microservices in a Cloud-Native Context
1. Software and its engineering

Index terms have been assigned to the content through auto-classification.

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Published In

IEEE Software Volume 39, Issue 5

Sept.-Oct. 2022

108 pages

ISSN:0740-7459

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This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/deed.ast.

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IEEE Computer Society Press

Washington, DC, United States

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Published: 01 September 2022

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Morais GAdda MBork DCombemale BWimmer MChechik MEgyed A(2024)Breaking Down Barriers: Building Sustainable Microservices Architectures with Model-Driven EngineeringProceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems10.1145/3652620.3687799(528-532)Online publication date: 22-Sep-2024
https://dl.acm.org/doi/10.1145/3652620.3687799
Sarika PBadampudi DJosyula SUsman M(2023)Automating Microservices Test Failure Analysis using Kubernetes Cluster LogsProceedings of the 27th International Conference on Evaluation and Assessment in Software Engineering10.1145/3593434.3593472(192-195)Online publication date: 14-Jun-2023
https://dl.acm.org/doi/10.1145/3593434.3593472
Chen XUsman MBadampudi D(2023)Using InnerSource for Improving Internal Reuse: An Industrial Case StudyProceedings of the 27th International Conference on Evaluation and Assessment in Software Engineering10.1145/3593434.3593466(348-357)Online publication date: 14-Jun-2023
https://dl.acm.org/doi/10.1145/3593434.3593466

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Abstract

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Cited By

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Recommendations

Unanticipated reuse of large-scale software features

Migrating monoliths to cloud-native microservices for customizable SaaS

A Platform Based Distributed Service Framework for Large-Scale Cloud Ecosystem Development

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