TY - GEN
T1 - Migrating from Microservices to Serverless
T2 - 8th International Workshop on Serverless Computing, WoSC 2022 - Part of Middleware 2022
AU - Chadha, Mohak
AU - Pacyna, Victor
AU - Jindal, Anshul
AU - Gu, Jianfeng
AU - Gerndt, Michael
N1 - Publisher Copyright:
© 2022 ACM.
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.
KW - CaaS
KW - FaaS
KW - container-as-a-service
KW - function-as-a-service
KW - microservices
KW - performance analysis
KW - serverless
UR - http://www.scopus.com/inward/record.url?scp=85145557445&partnerID=8YFLogxK
U2 - 10.1145/3565382.3565881
DO - 10.1145/3565382.3565881
M3 - Conference contribution
AN - SCOPUS:85145557445
T3 - WoSC 2022 - Proceedings of the 8th International Workshop on Serverless Computing, Part of Middleware 2022
SP - 19
EP - 24
BT - WoSC 2022 - Proceedings of the 8th International Workshop on Serverless Computing, Part of Middleware 2022
PB - Association for Computing Machinery, Inc
Y2 - 7 November 2022
ER -