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All Journal Jurnal Informatika dan Teknik Elektro Terapan Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal ICT : Information Communication & Technology Tematik : Jurnal Teknologi Informasi Komunikasi Jurnal Mahasiswa Sistem Informasi (JMSI) Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Journal of Artificial Intelligence and Engineering Applications (JAIEA) International Journal of Informatics and Computing
Dian Ade Kurnia
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Automotive Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Comparative Analysis of Serverless Container Service Performance Between Google Cloud Run and AWS App Runner in Cross-Cloud Architecture Muhammad Adithya Pratama; Odi Nurdiawan; Arif Rinaldi Dikananda; Denni Pratama; Dian Ade Kurnia
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 2 (2026): February 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i2.1919

Abstract

Research on the performance of serverless container services is becoming increasingly important as the need for modern distributed and cross-cloud architectures grows. This study analyzes the performance of two leading serverless services, Google Cloud Run and AWS App Runner, in a cross-cloud architecture scenario. Testing was conducted using identical parameters, including container configuration, region, memory, vCPU, and concurrency. Performance testing included p95 latency, throughput, and error rate metrics using loads of up to 1000 virtual users. The results showed that Google Cloud Run provided more stable performance with p95 latency of 47–71 ms, throughput of 436–438 RPS, and 0% error rate. In contrast, AWS App Runner showed p95 latency of 490–651 ms with throughput variation of 388–410 RPS and an error rate of 2–4.41%. The difference in performance was due to autoscaling mechanisms, cross-cloud communication overhead, and resource contention. This study provides empirical evidence for selecting the optimal serverless service for distributed architectures.
Co-Authors Abdul Aziz Abdul Latip Ade Irma Purnama Sari Ade Rizki Rinaldi Affan, Taryono Ibnu Aldi Setiawan Arif Rinaldi Dikananda Dadang Sudrajat Denni Pratama Doni Anggara Fatihanursari Dikananda Hidayatulloh Himawan Irfan Ali Jayawarsa, A.A. Ketut Khaerul Anam Lana Surlanto Martanto Maulana Sujarwadi Muhammad Adithya Pratama Nashir, Mukhtar Nisa Dienwati Nuris Odi Nurdiawan Othman bin Mohd Qosdu Sabil Rananda Deva Rian Rudi Kurniawan Saeful Anwar Salman Alfarizi Tati Suprapti Yudhistira Arie Wijaya