eprintid: 76449
rev_number: 19
eprint_status: archive
userid: 12460
dir: disk0/00/07/64/49
datestamp: 2026-05-19 03:59:15
lastmod: 2026-05-19 03:59:15
status_changed: 2026-05-19 03:59:15
type: thesis
metadata_visibility: show
contact_email: muh.khabib@uin-suka.ac.id
creators_name: Fadilla Ma’sum Haqqoni, NIM.: 22106050039
title: KOMPARASI PERFORMA, BIAYA, DAN SKALABILITAS CLOUD RUN DAN APP ENGINE PADA BACKEND REST API
ispublished: pub
subjects: 004.6782.
divisions: Informatika(S1)
full_text_status: restricted
keywords: Serverless Computing, Google Cloud Run, Google App Engine, Performance Testing, Go, RESTful API, Efisiensi Biaya
note: Ir. Muhammad Taufiq Nuruzzaman, S.T. M.Eng., Ph.D.
abstract: The adoption of serverless Cloud Run and App Engine lacks sufficient head-to-head empirical data in the industry. This study evaluates the performance, cost efficiency, and scalability of both platforms running a RESTful API backend to provide an objective foundation for cloud architecture decisions. Quantitative experiments were conducted on a Go-based "Notes App" using K6 for average load (150 VUs) and stress test (3,000 VUs) scenarios with 10 replications. Results indicate that under moderate loads, both platforms perform equally, but App Engine is more economical (Rp1.45/1,000 requests) due to its daily free quota. Conversely, during stress testing, a cost reversal occurred: Cloud Run outperformed with a p95 latency of 325.59 ms (versus 1,646.15 ms for App Engine) and a 0.0027% error rate. This superiority is driven by Cloud Run's instant instance scalability, whereas App Engine's slow autoscaling triggered request queues leading to CPU utility saturation. Furthermore, Cloud Run proved more cost-efficient under high loads (Rp6.88/1,000 requests) due to its per-second billing scheme eliminating idle instance costs. In conclusion, Cloud Run is optimal for large-scale, fluctuating traffic, while App Engine is ideal for moderate daily loads.
date: 2026-04-22
date_type: published
pages: 104
institution: UIN SUNAN KALIJAGA YOGYAKARTA
department: FAKULTAS SAINS DAN TEKNOLOGI
thesis_type: skripsi
thesis_name: other
citation:   Fadilla Ma’sum Haqqoni, NIM.: 22106050039  (2026) KOMPARASI PERFORMA, BIAYA, DAN SKALABILITAS CLOUD RUN DAN APP ENGINE PADA BACKEND REST API.  Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.   
document_url: https://digilib.uin-suka.ac.id/id/eprint/76449/1/22106050039_BAB-I_IV-atau-V_DAFTAR-PUSTAKA.pdf
document_url: https://digilib.uin-suka.ac.id/id/eprint/76449/2/22106050039_BAB-II_sampai_SEBELUM-BAB-TERAKHIR.pdf