TY  - THES
N1  - Ir. Muhammad Taufiq Nuruzzaman, S.T. M.Eng., Ph.D.
ID  - digilib76449
UR  - https://digilib.uin-suka.ac.id/id/eprint/76449/
A1  - Fadilla Ma?sum Haqqoni, NIM.: 22106050039
Y1  - 2026/04/22/
N2  - 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.
PB  - UIN SUNAN KALIJAGA YOGYAKARTA
KW  - Serverless Computing
KW  -  Google Cloud Run
KW  -  Google App Engine
KW  -  Performance Testing
KW  -  Go
KW  -  RESTful API
KW  -  Efisiensi Biaya
M1  - skripsi
TI  - KOMPARASI PERFORMA, BIAYA, DAN SKALABILITAS CLOUD RUN DAN APP ENGINE PADA BACKEND REST API
AV  - restricted
EP  - 104
ER  -