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Cracking the monolith: challenges in data transitioning to cloud native architectures

Published: 24 September 2018 Publication History

Abstract

Application modernization is the process of transforming a monolithic application to cloud native. This involves gradually building a new application consisting of microservices, and running it in conjunction with the monolithic application. Over a period of time, the functionality of the monolith shrinks drastically or transforms into yet another microservice. Solution architects are often faced with the task of ensuring this smooth transition - from monolith to cloud native. For large and complex monoliths, this task is non-trivial as the code base grows non-linearly over a period of time, thus posing multiple challenges.
The complexity of a monolith is moved to the interconnections between microservices, leading to multiple points of failure. This also has implications on scalability and the need for replication. One of the biggest challenges is to maintain data consistency and statefulness across the services and enable a smooth transition of the data. Tracing performance issues also becomes complex as a single transaction can encompass multiple service calls, along with increased operational complexity due to increased demand of managing services.
In this paper, we envision an automated approach that will enable a smooth transition from the monolith to microservices, thus alleviating the complexities faced by a solution architect. Our system leverages the existing data schema along with details obtained using profiling tools (in production or development environment), to understand the data flow and access patterns and use this information to to propose functional modules (microservices).

References

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A. Balalaie et al. Migrating to cloud-native architectures using microservices: an experience report. In Sprinder ESOCC 2015.
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A. Balalaie et al. Microservices architecture enables devops: migration to a cloud-native architecture. IEEE Software 2016, 2016.
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L. Baresi et al. Microservices identification through interface analysis. In Springer ESOCC 2017.
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N. Dragoni et al. Microservices: yesterday, today, and tomorrow. In Springer, Present and Ulterior Software Engineering 2017.
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T. Erl. SOA design patterns. Pearson Education, 2008.
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H. Knoche. Sustaining runtime performance while incrementally modernizing transactional monolithic software towards microservices. In ACM/SPEC ICPE 2016.
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S. Kunde et al. Ata : Architecture-based technology recommender for functional application domains. In IEEE Systems Conference, pages 1-8. IEEE, 2018.
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G. Mazlami et al. Extraction of microservices from monolithic software architectures. In IEEE ICWS, 2017.
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D. Taibi et al. Processes, motivations, and issues for migrating to microservices architectures: An empirical investigation. IEEE Cloud Computing 2017.

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cover image ACM Other conferences
ECSA '18: Proceedings of the 12th European Conference on Software Architecture: Companion Proceedings
September 2018
325 pages
ISBN:9781450364836
DOI:10.1145/3241403
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 September 2018

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Author Tags

  1. SLA
  2. architecture
  3. cloud native
  4. monolith

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ECSA '18

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Overall Acceptance Rate 48 of 72 submissions, 67%

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  • (2025)Migration of monolithic systems to microservicesInformation and Software Technology10.1016/j.infsof.2024.107590177:COnline publication date: 1-Jan-2025
  • (2024)Research on legacy monolith applications decomposition into microservice architectureundefined10.20334/2024-018-MOnline publication date: 2024
  • (2023)On a Metaprocess for Microservice MigrationProceedings of the XXXVII Brazilian Symposium on Software Engineering10.1145/3613372.3613382(116-121)Online publication date: 25-Sep-2023
  • (2023)Microservice Based Architecture: The Development of Rapid Prototyping Supportive Tools for Project Based Learning2023 IEEE World Engineering Education Conference (EDUNINE)10.1109/EDUNINE57531.2023.10102884(1-6)Online publication date: 12-Mar-2023
  • (2022)An Approach to Migrate a Monolith Database into Multi-Model Polyglot Persistence Based on Microservice Architecture: A Case Study for Mainframe DatabaseApplied Sciences10.3390/app1212618912:12(6189)Online publication date: 17-Jun-2022
  • (2022)A Systematic Literature Review on Migration to Microservices: a Quality Attributes perspective2022 IEEE 19th International Conference on Software Architecture Companion (ICSA-C)10.1109/ICSA-C54293.2022.00030(120-123)Online publication date: Mar-2022
  • (2019)Migrating Legacy Software to Microservices Architecture2019 Open Conference of Electrical, Electronic and Information Sciences (eStream)10.1109/eStream.2019.8732170(1-5)Online publication date: Apr-2019
  • (2019)Tool Support for the Migration to Microservice Architecture: An Industrial Case StudySoftware Architecture10.1007/978-3-030-29983-5_17(247-263)Online publication date: 2-Sep-2019

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