Migrating from Microservices to Serverless: An IoT Platform Case Study

Mohak Chadha; Victor Pacyna; Anshul Jindal; Jianfeng Gu; Michael Gerndt

doi:10.1145/3565382.3565881

Migrating from Microservices to Serverless: An IoT Platform Case Study

Mohak Chadha
, Victor Pacyna
, Anshul Jindal
, Jianfeng Gu
, Michael Gerndt

Informatics 10 - Associate Professorship of Architecture of Parallel and Distributed Systems

Technical University of Munich

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Microservice architecture is the common choice for developing cloud applications these days since each individual microservice can be independently modified, replaced, and scaled. As a result, application development and operating cloud infrastructure were bundled together into what is now commonly called DevOps. However, with the increasing popularity of the serverless computing paradigm and its several advantages such as no infrastructure management, a pay-per-use billing policy, and on-demand fine-grained autoscaling, there is a growing interest in utilizing FaaS and server-less CaaS technologies for refactoring microservices-based applications. Towards this, we migrate a complex IoT platform application onto OpenWhisk (OW) and Google Cloud Run (GCR). We comprehensively evaluate the performance of the different deployment strategies, i.e., Google Kubernetes Engine (GKE)-Standard, OW, and GCR for the IoT platform using different load testing scenarios. Results from our experiments show that while GKE standard performs best for most scenarios, GCR is always cheaper wrt costs.

Original language	English
Title of host publication	WoSC 2022 - Proceedings of the 8th International Workshop on Serverless Computing, Part of Middleware 2022
Publisher	Association for Computing Machinery, Inc
Pages	19-24
Number of pages	6
ISBN (Electronic)	9781450399272
DOIs	https://doi.org/10.1145/3565382.3565881
State	Published - 7 Nov 2022
Event	8th International Workshop on Serverless Computing, WoSC 2022 - Part of Middleware 2022 - Quebec, Canada Duration: 7 Nov 2022 → …

Publication series

Name	WoSC 2022 - Proceedings of the 8th International Workshop on Serverless Computing, Part of Middleware 2022

Conference

Conference	8th International Workshop on Serverless Computing, WoSC 2022 - Part of Middleware 2022
Country/Territory	Canada
City	Quebec
Period	7/11/22 → …

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

CaaS
FaaS
container-as-a-service
function-as-a-service
microservices
performance analysis
serverless

Access to Document

10.1145/3565382.3565881

Cite this

Chadha, M., Pacyna, V., Jindal, A., Gu, J., & Gerndt, M. (2022). Migrating from Microservices to Serverless: An IoT Platform Case Study. In WoSC 2022 - Proceedings of the 8th International Workshop on Serverless Computing, Part of Middleware 2022 (pp. 19-24). (WoSC 2022 - Proceedings of the 8th International Workshop on Serverless Computing, Part of Middleware 2022). Association for Computing Machinery, Inc. https://doi.org/10.1145/3565382.3565881

Chadha, Mohak ; Pacyna, Victor ; Jindal, Anshul et al. / Migrating from Microservices to Serverless : An IoT Platform Case Study. WoSC 2022 - Proceedings of the 8th International Workshop on Serverless Computing, Part of Middleware 2022. Association for Computing Machinery, Inc, 2022. pp. 19-24 (WoSC 2022 - Proceedings of the 8th International Workshop on Serverless Computing, Part of Middleware 2022).

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title = "Migrating from Microservices to Serverless: An IoT Platform Case Study",

abstract = "Microservice architecture is the common choice for developing cloud applications these days since each individual microservice can be independently modified, replaced, and scaled. As a result, application development and operating cloud infrastructure were bundled together into what is now commonly called DevOps. However, with the increasing popularity of the serverless computing paradigm and its several advantages such as no infrastructure management, a pay-per-use billing policy, and on-demand fine-grained autoscaling, there is a growing interest in utilizing FaaS and server-less CaaS technologies for refactoring microservices-based applications. Towards this, we migrate a complex IoT platform application onto OpenWhisk (OW) and Google Cloud Run (GCR). We comprehensively evaluate the performance of the different deployment strategies, i.e., Google Kubernetes Engine (GKE)-Standard, OW, and GCR for the IoT platform using different load testing scenarios. Results from our experiments show that while GKE standard performs best for most scenarios, GCR is always cheaper wrt costs.",

keywords = "CaaS, FaaS, container-as-a-service, function-as-a-service, microservices, performance analysis, serverless",

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Chadha, M, Pacyna, V, Jindal, A, Gu, J & Gerndt, M 2022, Migrating from Microservices to Serverless: An IoT Platform Case Study. in WoSC 2022 - Proceedings of the 8th International Workshop on Serverless Computing, Part of Middleware 2022. WoSC 2022 - Proceedings of the 8th International Workshop on Serverless Computing, Part of Middleware 2022, Association for Computing Machinery, Inc, pp. 19-24, 8th International Workshop on Serverless Computing, WoSC 2022 - Part of Middleware 2022, Quebec, Canada, 7/11/22. https://doi.org/10.1145/3565382.3565881

Migrating from Microservices to Serverless: An IoT Platform Case Study. / Chadha, Mohak; Pacyna, Victor; Jindal, Anshul et al.
WoSC 2022 - Proceedings of the 8th International Workshop on Serverless Computing, Part of Middleware 2022. Association for Computing Machinery, Inc, 2022. p. 19-24 (WoSC 2022 - Proceedings of the 8th International Workshop on Serverless Computing, Part of Middleware 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Pacyna, Victor

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AU - Gu, Jianfeng

AU - Gerndt, Michael

PY - 2022/11/7

Y1 - 2022/11/7

N2 - Microservice architecture is the common choice for developing cloud applications these days since each individual microservice can be independently modified, replaced, and scaled. As a result, application development and operating cloud infrastructure were bundled together into what is now commonly called DevOps. However, with the increasing popularity of the serverless computing paradigm and its several advantages such as no infrastructure management, a pay-per-use billing policy, and on-demand fine-grained autoscaling, there is a growing interest in utilizing FaaS and server-less CaaS technologies for refactoring microservices-based applications. Towards this, we migrate a complex IoT platform application onto OpenWhisk (OW) and Google Cloud Run (GCR). We comprehensively evaluate the performance of the different deployment strategies, i.e., Google Kubernetes Engine (GKE)-Standard, OW, and GCR for the IoT platform using different load testing scenarios. Results from our experiments show that while GKE standard performs best for most scenarios, GCR is always cheaper wrt costs.

AB - Microservice architecture is the common choice for developing cloud applications these days since each individual microservice can be independently modified, replaced, and scaled. As a result, application development and operating cloud infrastructure were bundled together into what is now commonly called DevOps. However, with the increasing popularity of the serverless computing paradigm and its several advantages such as no infrastructure management, a pay-per-use billing policy, and on-demand fine-grained autoscaling, there is a growing interest in utilizing FaaS and server-less CaaS technologies for refactoring microservices-based applications. Towards this, we migrate a complex IoT platform application onto OpenWhisk (OW) and Google Cloud Run (GCR). We comprehensively evaluate the performance of the different deployment strategies, i.e., Google Kubernetes Engine (GKE)-Standard, OW, and GCR for the IoT platform using different load testing scenarios. Results from our experiments show that while GKE standard performs best for most scenarios, GCR is always cheaper wrt costs.

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M3 - Conference contribution

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PB - Association for Computing Machinery, Inc

Y2 - 7 November 2022

ER -

Chadha M, Pacyna V, Jindal A, Gu J, Gerndt M. Migrating from Microservices to Serverless: An IoT Platform Case Study. In WoSC 2022 - Proceedings of the 8th International Workshop on Serverless Computing, Part of Middleware 2022. Association for Computing Machinery, Inc. 2022. p. 19-24. (WoSC 2022 - Proceedings of the 8th International Workshop on Serverless Computing, Part of Middleware 2022). doi: 10.1145/3565382.3565881

Migrating from Microservices to Serverless: An IoT Platform Case Study

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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