Microservices: The Journey So Far and Challenges Ahead

Jamshidi, Pooyan; Pahl, Claus; Mendonça, Nabor C.; Lewis, James W.; Tilkov, Stefan

doi:10.1109/ms.2018.2141039

Cited by 369 publications

(222 citation statements)

References 7 publications

(4 reference statements)

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“…According to Vural et al, this equally applies to empirical studies that provide insights into the current state-of-practice [9]. Moreover, Jamshidi et al note that recently published papers have had "little if any impact on microservice practice" [10], which according to the authors might be caused by limited access to industry-scale applications. A recent mapping study again confirms a strong industry interest in migrating legacy systems [11].…”

Section: Introductionmentioning

confidence: 99%

Microservices Migration in Industry: Intentions, Strategies, and Challenges

Fritzsch

Bogner

Wagner

et al. 2019

2019 IEEE International Conference on Software Maintenance and Evolution (ICSME)

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To remain competitive in a fast changing environment, many companies started to migrate their legacy applications towards a Microservices architecture. Such extensive migration processes require careful planning and consideration of implications and challenges likewise. In this regard, handson experiences from industry practice are still rare. To fill this gap in scientific literature, we contribute a qualitative study on intentions, strategies, and challenges in the context of migrations to Microservices. We investigated the migration process of 14 systems across different domains and sizes by conducting 16 indepth interviews with software professionals from 10 companies. We present a separate description of each case and summarize the most important findings. As primary migration drivers, maintainability and scalability were identified. Due to the high complexity of their legacy systems, most companies preferred a rewrite using current technologies over splitting up existing code bases. This was often caused by the absence of a suitable decomposition approach. As such, finding the right service cut was a major technical challenge, next to building the necessary expertise with new technologies. Organizational challenges were especially related to large, traditional companies that simultaneously established agile processes. Initiating a mindset change and ensuring smooth collaboration between teams were crucial for them. Future research on the evolution of software systems will in particular profit from the individual cases presented.

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Section: Introductionmentioning

confidence: 99%

Microservices Migration in Industry: Intentions, Strategies, and Challenges

Fritzsch

Bogner

Wagner

et al. 2019

2019 IEEE International Conference on Software Maintenance and Evolution (ICSME)

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“…Our work paper can be extended as follows: (a) by evaluating the runtime performance of GraphQL queries, particularly the ones used in Section V; (b) by interviewing developers to reveal their views and experience with GraphQL; (c) by migrating more systems to GraphQL and studying the logs they produce during normal operation; (d) by investigating the benefits of GraphQL in specific domains, such as mobile applications and microservices orchestration [29].…”

Section: Discussionmentioning

confidence: 99%

Migrating to GraphQL: A Practical Assessment

Brito

Mombach

Valente

2019

2019 IEEE 26th International Conference on Software Analysis, Evolution and Reengineering (SANER)

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GraphQL is a novel query language proposed by Facebook to implement Web-based APIs. In this paper, we present a practical study on migrating API clients to this new technology. First, we conduct a grey literature review to gain an in-depth understanding on the benefits and key characteristics normally associated to GraphQL by practitioners. After that, we assess such benefits in practice, by migrating seven systems to use GraphQL, instead of standard REST-based APIs. As our key result, we show that GraphQL can reduce the size of the JSON documents returned by REST APIs in 94% (in number of fields) and in 99% (in number of bytes), both median results.

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“…Microservices constitute an emerging architectural style that builds on the well-established concept of modularization but emphasizes technical boundaries (i.e., different address and execution spaces) between software components [3]. Each module-each microservice-is developed around a single business capability that offers access to its internal arXiv:1910.07660v2 [cs.SE] 15 Nov 2019 Fig.…”

Section: Microservicesmentioning

confidence: 99%

“…On the one hand, recent progress in self-adaptive systems offers a control-oriented perspective that leverages a large body of theoretical and practical results to enhance microservice quality attributes using techniques such as planners (e.g., to select the best possible adaptation strategy for each microservice), machine learning (e.g., to learn new adaptation strategies from past adaptation results), reasoning under uncertainty (e.g., to cope with noisy monitoring data), and multi-objective optimization (e.g., to cater to multiple, possibly conflicting microservice requirements) [7]. On the other hand, software characteristics such as independent and frequent deployment, the need for a high degree of automation, and complex run-time architectures [3] make microservices a fertile ground to foster further research and development on self-adaptive systems.…”

mentioning

confidence: 99%

Developing Self-Adaptive Microservice Systems: Challenges and Directions

et al. 2021

Self Cite

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A self-adaptive system can dynamically monitor and adapt its behavior to preserve or enhance its quality attributes under uncertain operating conditions. This article identifies key challenges for the development of microservice applications as self-adaptive systems, using a cloud-based intelligent video surveillance application as a motivating example. It also suggests potential new directions for addressing most of the identified challenges by leveraging existing microservice practices and technologies.

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Microservices: The Journey So Far and Challenges Ahead

Cited by 369 publications

References 7 publications

Microservices Migration in Industry: Intentions, Strategies, and Challenges

Microservices Migration in Industry: Intentions, Strategies, and Challenges

Migrating to GraphQL: A Practical Assessment

Developing Self-Adaptive Microservice Systems: Challenges and Directions

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