Deployment Archetypes for Cloud Applications

Abstract

This is a survey article that explores six Cloud-based deployment archetypes for Cloud applications and the tradeoffs between them to achieve high availability, low end-user latency, and acceptable costs. These are (1) Zonal, (2) Regional, (3) Multi-regional, (4) Global, (5) Hybrid, and (6) Multi-cloud deployment archetypes. The goal is to classify cloud applications into a set of deployment archetypes and deployment models that tradeoff their needs around availability, latency, and geographical constraints with a focus on serving applications. This enables application owners to better examine the tradeoffs of each deployment model and what is needed for achieving the availability and latency goals for their application.

Pengujian Kinerja Web Server Elastic Cloud Compute (Ec2) Free Tier Pada Amazon Web Service (Aws) Menggunakan Jmeter

“…3. Latency , ini mengacu pada durasi yang dibutuhkan bagi permintaan untuk mencapai server dan Kembali ke klien, atau perbedaan antara waktu pengiriman permintaan dan saat respon mulai diterima (Berenberg, A, 2023) Hasil kinerja tersebut akan dibandingkan dengan data yang telah dikumpulkan dari literatur mengenai standar performa terbaik untuk Web Server. Dari situ, peneliti dapat menarik kesimpulan untuk menentukan Web Server yang memiliki kinerja terbaik, andal, dan sesuai dengan kebutuhan penggunaan yang diinginkan.…”

Intelligent Process Automation and Business Continuity: Areas for Future Research

“…COVID-19 highlighted the fact that most organizations did not have adequate measures to prepare for BC and disaster recovery [24,34,44,268,300,301], and organizations now realize that they need to find and implement solutions to make them more resilient [172,290,[302][303][304][305]. RPA platforms, for example, can help and are recommended for making operations more intelligent and for building IT and business resilience [214,215,270,304,[306][307][308][309].…”